Public report β€” cargotracker, published 3 Aug 2026. Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version; ask the repo owner for the full report.
Watchdog 03-08-2026 @ 22:25 UTC Public
Code Health Audit

Eclipse-Ee4j/cargotracker

35% Weak
CriticalWeakAdequateStrongExemplary
middle

Medium Β· 29,007 LoC Β· rebuild ~0.2 person-years Β· weakest lens: Accessibility (21%)

Grounded in facts. Every number here is computed, not narrated β€” reproducible, tool-backed, and traceable to a line of code. How to trust this β–Έ

29/31dimensions tool-verifieddeterministic Β· confidence 1.0 Β· 2 LLM-assisted, advisory
60findings with an exact file:lineof 70 β€” the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
31/101dimensions across the health lenses29007 LoC β€” wide & deep

Executive summary

Read through the Production lens β€” the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.

eclipse-ee4j/cargotracker carries serious gaps (35%). Several issues below can materially affect correctness, security, or the cost of changing it β€” and propagate to everything that depends on it.

It is strongest in Architecture (100%) β€” the structure is clean and changes stay contained. Code Health (94%) is solid too.

The area that most needs attention is Accessibility (21%) β€” it raises ongoing delivery and operational cost. Readiness (30%) is the next concern β€” releases are harder to depend on β€” versioning, release notes and dependency hygiene are thin, so consumers can't easily tell what changed or trust an upgrade.

Leadership focus, highest impact first: Declare <html lang>, a document <title> and a <main> landmark,… (Page structure); Keep a visible focus style (don't remove the outline without… (Visual & motion safety); accessibility in the toolchain your project already uses (A11y enforcement).

For scale: Medium (~29,007 production lines); rebuilding it from scratch would take roughly ~0.2 person-years (~1 engineer). Approximate, ±~30%.

It builds on a genuinely strong Architecture foundation (100%); the priorities above are the highest-leverage way to bring the rest up to that level.

How the score is built β€” each lens's share of the headline Width is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
Accessibility 21% Β· 46% weightReadiness 30% Β· 25% weightMaturity 52% Β· 14% weightSecurity 60% Β· 8% weightDomain Modelling 63% Β· 4% weightCode Health 94% Β· 2% weightArchitecture 100% Β· 1% weight

Raise Accessibility 21 β†’ 70 (the Healthy floor) β‡’ headline 35 β†’ ~46.

Code composition β€” where the lines go
Tests 100%
New since the last scan (21+)

21 finding(s) are new versus the previous scan (2026-07-29) β€” surfaced by this scheduled scan itself, no pull request required.

  • D4 Β· Duplicated block (16 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java
  • D4 Β· Duplicated block (12 lines × 2) src/main/java/org/eclipse/cargotracker/interfaces/booking/facade/internal/assembler/CargoStatusDtoAssembler.java
  • D4 Β· Duplicated block (10 lines × 3) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java
  • D4 Β· Duplicated block (9 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java
  • D4 Β· Duplicated block (9 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java
  • D4 Β· Duplicated block (9 lines × 2) src/main/java/org/eclipse/cargotracker/domain/model/cargo/Itinerary.java
  • D4 Β· Duplicated block (8 lines × 3) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java
  • D4 Β· Duplicated block (8 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java
  • D4 Β· Duplicated block (8 lines × 2) src/main/java/org/eclipse/cargotracker/interfaces/booking/web/ChangeArrivalDeadlineDialog.java
  • D4 Β· Duplicated block (7 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java
  • D29 Β· High: github-actions-mutable-action-tag .github/workflows/main.yml
  • D29 Β· High: github-actions-mutable-action-tag .github/workflows/main.yml
  • D29 Β· High: github-actions-mutable-action-tag .github/workflows/main.yml
  • D29 Β· High: github-actions-mutable-action-tag .github/workflows/main.yml
  • D31 Β· Medium IaC: CKV_K8S_37 postgres.yml
  • D31 Β· Medium IaC: CKV_K8S_21 postgres.yml
  • D31 Β· Medium IaC: CKV_K8S_37 cargo-tracker.yml
  • D31 Β· Medium IaC: CKV_K8S_21 cargo-tracker.yml
  • D31 Β· Medium IaC: CKV_K8S_21 cargo-tracker.yml
  • D31 Β· Medium IaC: CKV_DOCKER_3 Dockerfile
  • M1 Β· README may be stale

A full-fidelity diff against the previous run's complete recorded findings β€” line-move tolerant: a finding that only shifted line counts as unchanged, only genuinely new titles/files surface here.

Rebuild cost & value ~ Modeled β€” €12,000–€58,000
Cost to rebuild€12,000–€58,000 (0.1–0.4 person-years (193–613 h), ~1 engineer)
Domain complexityHigh β€” harder problems cost more per line
Quality factor0.7Γ— (at 35% quality) β€” the last 20% of quality is most of the work
Size & shapeMedium Β· effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)

This codebase represents roughly ~0.2 person-years of build effort (about ~€35,000 to rebuild). Its weakest lens is Accessibility at 21% β€” the part of that asset most exposed by the findings below.

How we model this: boilerplate at a scaffolding rate + logic × domain High (×1.4) β€” DDD/clean architecture, domain model × a 0.7× quality factor, at €60–95/h; indicative, ±~30% · size measured directly from source · effort from total production LoC as straight-line logic (the tier split is a C#-only syntax walk), a conservative lower bound. Indicative only β€” most sensitive to the hourly rate and the domain tier (both tunable in config).

Top priorities

The highest-leverage moves; the full ranked list is in the Roadmap below.

1
Declare <html lang>, a document <title> and a <main> landmark, keep headings in order, leave zoom enabled, title iframes and drop meta-refresh.
+12.3 pts Β· Medium effort Β· Page structure
2
Keep a visible focus style (don't remove the outline without a replacement), guard animation with prefers-reduced-motion, and raise low-contrast colour pairs to at least 4.5:1.
+12.3 pts Β· Medium effort Β· Visual & motion safety
3
Enforce accessibility in the toolchain your project already uses: assert accessibility in your UI test suite with your toolkit's own matcher (Flutter `meetsGuideline`, Espresso `AccessibilityChecks`, XCTest `performAccessibilityAudit`), then gate that test in CI so a regression blocks the merge.
+11.7 pts Β· Medium effort Β· A11y enforcement

Diagnosis β€” what's actually going on

Value concentrated against a weak lens Β· High Β· Value at risk
This is a Medium asset (~0.2 person-years to rebuild), and its weakest lens is Accessibility at 21%. The operational and business risk on an asset this size concentrates there β€” that's where remediation buys the most protection.
Evidence: valuation: Medium, ~0.2 person-years rebuild (29,007 LoC) · weakest lens: Accessibility 21%
β†’ Direct remediation budget at Accessibility first β€” highest risk-reduction per euro on an asset this size.
Highest-leverage move Β· Medium Β· Leverage
Of everything flagged, the best return on effort is: Declare <html lang>, a document <title> and a <main> landmark, keep headings in order, leave zoom enabled, title iframes and drop meta-refresh. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
β†’ Declare <html lang>, a document <title> and a <main> landmark, keep headings in order, leave zoom enabled, title iframes and drop meta-refresh.

Architecture β€” module dependency matrix

29 modules, 70 dependencies β€” 1 dependency cycle, shown as the red cell(s) above the diagonal. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows β€” an unusual but cycle-free dependency sits below the diagonal like any other.)

(global)…domain.model.location…astructure.events.cdi…nfrastructure.logging…es.booking.facade.dto…e.pathfinder.internal…r.domain.model.voyage…tracker.domain.shared…rgotracker.interfaces…rfaces.booking.facade…clipse.pathfinder.api…domain.model.handling…nterfaces.booking.web…cker.application.util…er.domain.model.cargo…racker.domain.service…cture.persistence.jpa…de.internal.assembler…nterfaces.booking.sse…r.interfaces.handling…terfaces.tracking.web…gotracker.application…nfrastructure.routing….application.internal…ructure.messaging.jms…oking.facade.internal…erfaces.handling.file…faces.handling.mobile…erfaces.handling.rest(global)1…domain.model.location2…astructure.events.cdi3…nfrastructure.logging4…es.booking.facade.dto5…e.pathfinder.internal6…r.domain.model.voyage7…tracker.domain.shared8…rgotracker.interfaces9…rfaces.booking.facade10…clipse.pathfinder.api11…domain.model.handling12…nterfaces.booking.web13…cker.application.util14…er.domain.model.cargo15…racker.domain.service16…cture.persistence.jpa17…de.internal.assembler18…nterfaces.booking.sse19…r.interfaces.handling20…terfaces.tracking.web21…gotracker.application22…nfrastructure.routing23….application.internal24…ructure.messaging.jms25…oking.facade.internal26…erfaces.handling.file27…faces.handling.mobile28…erfaces.handling.rest293524155697263152333426135115111113221251112313146151113141111411111111

At a glance β€” Code Health Β· 94% Β· Exemplary

At a glance β€” Architecture Β· 100% Β· Exemplary

At a glance β€” Maturity Β· 52% Β· Adequate Β· gated by M2

At a glance β€” Readiness Β· 30% Β· Weak Β· gated by P3, P5

At a glance β€” Security Β· 60% Β· Adequate Β· gated by D29

At a glance β€” Domain Modelling Β· 63% Β· Adequate Β· gated by DM1

At a glance β€” Accessibility Β· 21% Β· Critical Β· gated by AC3, AC6

Security & Compliance β€” OWASP Top-10 mapping

Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).

OWASP categoryFindingsSeverity
A05:2021 β€” Security Misconfiguration28High / Critical
A03:2021 β€” Injection22High / Critical

Roadmap

First, fix critical page structure by adding proper HTML landmarks and titles, while ensuring visual safety through visible focus styles and sufficient color contrast. Next, enforce accessibility by integrating automated a11y checks into the UI test suite and CI pipeline to prevent regressions. Then, implement security tooling in CI to catch vulnerabilities early, and finally, codify disaster recovery and backup procedures in infrastructure as code to ensure business continuity.

Ranked by impact Γ· effort. "Helps" is the estimated gain on the 0–100 health score.

Do thisHelpsEffortDimension
Declare <html lang>, a document <title> and a <main> landmark, keep headings in order, leave zoom enabled, title iframes and drop meta-refresh.+12.3 ptsMediumPage structure
Keep a visible focus style (don't remove the outline without a replacement), guard animation with prefers-reduced-motion, and raise low-contrast colour pairs to at least 4.5:1.+12.3 ptsMediumVisual & motion safety
Enforce accessibility in the toolchain your project already uses: assert accessibility in your UI test suite with your toolkit's own matcher (Flutter `meetsGuideline`, Espresso `AccessibilityChecks`, XCTest `performAccessibilityAudit`), then gate that test in CI so a regression blocks the merge.+11.7 ptsMediumA11y enforcement
Add a SAST step to CI running what this repository's stack ships: spotbugs with find-sec-bugs β€” or `semgrep --config=auto`, which runs on any language β€” so a security regression fails the build instead of landing.+8.2 ptsMediumSecurity & performance tooling
Codify backups + geo-recovery in IaC and document RTO/RPO and the restore procedure β€” a persistence guard alone is not disaster recovery.+8.2 ptsMediumDR & Backup
Add a `healthcheck:` to the served compose service β€” probing the endpoint it already answers on where it has one β€” with `depends_on: condition: service_healthy` on whatever waits for it, and keep the deployed image tag immutable and recorded so rolling back is re-pointing at the previous tag rather than rebuilding.+7.5 ptsMediumDeployment & Rollback
Keep a changelog (e.g. Keep-a-Changelog) recording what shipped in each release.+7.5 ptsMediumRelease Hygiene
Run the test suite in CI via an explicit runner step for your stack, and gate merges on it.+3.8 ptsMediumCI/CD gates

File quality

Per-file score 0–10 β€” a quality signature. Of 11 files carrying findings, judged against the Production bar: 18% slop Β· 55% mixed Β· 27% near-clean.

FileScoreBandWorst signal
cargo-tracker.yml1.6SlopIaC & Container Security: High IaC: KSV-0014
postgres.yml1.7SlopIaC & Container Security: High IaC: KSV-0014
nightly.yml4.4MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
.github/workflows/main.yml4.5MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
.github/workflows/nightly.yml5.1MixedStatic Analysis (SAST): High: github-actions-mutable-action-tag
src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java7.0MixedCode Duplication: Duplicated block (16 lines × 2)
src/main/java/org/eclipse/cargotracker/infrastructure/messaging/jms/HandlingEventRegistrationAttemptConsumer.java7.9MixedStatic Analysis (SAST): Medium: insecure-jms-deserialization
Dockerfile7.9MixedIaC & Container Security: Medium IaC: CKV_DOCKER_3
src/main/java/org/eclipse/cargotracker/interfaces/booking/facade/internal/assembler/CargoStatusDtoAssembler.java8.5Near-cleanCode Duplication: Duplicated block (12 lines × 2)
src/main/java/org/eclipse/cargotracker/domain/model/cargo/Itinerary.java8.5Near-cleanCode Duplication: Duplicated block (9 lines × 2)
src/main/java/org/eclipse/cargotracker/interfaces/booking/web/ChangeArrivalDeadlineDialog.java8.5Near-cleanCode Duplication: Duplicated block (8 lines × 2)

Methodology & how to trust this report

Watchdog is a deep, periodic assessment β€” run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 29 of 31 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 2 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.5 β€” the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.

Every figure here is one of three kinds, and we label which: βœ“ Measured β€” a deterministic fact (LoC, complexity, coverage); ~ Modeled β€” an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory β€” an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): βœ“ Tool-verified means the property itself was measured across the surface; β—‹ Nothing flagged means the probes came back clean β€” a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence β€” absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled Β· advisory marks an LLM verdict over a bounded sample β€” advisory, never a deterministic measurement.

What we checked β€” 31 dimensions across the health lenses
D4D13D15D16D19D21D28D29D31D34D35D40D41AC3AC6AC7AX5DM1DM4DM5DM6DM8M1M2M3M4P1P3P4P5P6

Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality β€” in one coherent pass. A surface report typically covers a handful.

How to trust any code-health report β€” three questions
  1. Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line β€” never an absolute scratch path. Here, 60 of 70 do; the remainder are repo-wide signals β€” a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
  2. Is there a tool behind the number? Every score below names the method that produced it β€” Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled Β· advisory β€” not a narrative.
  3. Does re-running give the same result? Run it again on the same commit and the score β€” and this report, byte for byte β€” is identical. A report whose numbers move between runs is describing the run, not the code.

This report answers yes to all three. That's the bar to hold any assessment to.

Tools & methods

The actual versions used this run (captured at analysis time) β€” re-run on the same commit for the identical score.

MethodBacksVersionEvaluator
Roslyn static analysisComplexity, cohesion, coupling, dead code, API surface, layering5.3.0βœ“ deterministic
Native secret scannerHardcoded secrets / credentials1.0.0βœ“ deterministic
jscpdCode duplicationβ€”βœ“ deterministic
Coverage (coverlet / dotnet-coverage)Line & branch coverage10.0.302βœ“ deterministic
NuGet / dotnetOutdated, vulnerable & deprecated dependencies10.0.302βœ“ deterministic
git / LibGit2SharpChurn hotspots, knowledge concentration, history2.43.0 Β· 0.31.0βœ“ deterministic
gitleaks · semgrep · trivy · checkovSecrets in history, SAST, CVEs, IaC & container, PII / GDPR1.86.0 Β· 0.69.3 Β· 3.2.533βœ“ deterministic
LLM (sampled · advisory)Documentation quality, ADR conformance, naming β€” sampled over a bounded sample; advisory, never a deterministic measurementLocal LLM◐ LLM Β· sampled Β· advisory

Every finding is locatable in findings.md. Run 019fc9ba-f43c-7c75-bfd7-ebc9a78af438.

The exact command behind every deep-scan dimension β€” tool, version, invocation and retained raw output β€” is in Appendix B β€” Reproduction & audit trail.

Run transparency β€” what happened this run

What ran differently this time β€” a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.

  • D30 Dependency Vulnerabilities β€” scanner not present in this environment β€” The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.

Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared β€” every source file was scored.

Limitations & what we did not check

Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap β€” a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.

Per-dimension blind spots

For each dimension that was measured, what a static, repo-only scan structurally cannot see β€” the honest edge of the measurement, not a failure of it.

  • D4 Code Duplication: Duplication is token-similarity (jscpd) β€” it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED β€” its repetition is the tool's, not the team's β€” so the score reflects hand-written duplication only.
  • D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree β€” a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
  • D15 Churn × Complexity Hotspots: Churn hotspots come from git history β€” a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
  • D16 Bus Factor: Bus-factor is a time-decayed model of commit attribution (who has recently, repeatedly worked a file), not comprehension β€” pairing, review and reading-without-committing spread knowledge it can't see; bot commits and shared accounts still distort it.
  • D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs β€” it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement.
  • D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample β€” it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
  • D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns β€” a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
  • D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) β€” it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
  • D31 IaC & Container Security: IaC scanning checks Dockerfiles/Terraform/Kubernetes against best-practice rules β€” it cannot see the live cloud account, runtime configuration, or drift between the committed config and what is actually deployed.
  • D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension β€” code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
  • D35 Change Coupling: Change coupling is co-change in COMMITS β€” files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
  • D40 Network Egress Confinement: Egress confinement is read from committed Kubernetes manifests β€” a policy applied out-of-band (cluster-default deny, a service mesh, or a cloud firewall/security group off-repo) is invisible, and a present NetworkPolicy is declared config, not proof the cluster admission-controller actually enforces it at runtime.
  • D41 Kernel & Syscall Confinement: Syscall/MAC confinement is read from committed manifests β€” a profile applied by a cluster-wide PodSecurity default or a mutating webhook off-repo isn't seen, and a declared seccomp/AppArmor profile is config presence, not proof the node's kernel actually loaded and enforced it.
  • AC3 Page structure: Page structure is read from the static markup tree β€” landmarks, headings and lang injected at runtime aren't seen, heading ORDER is checked structurally (not against the rendered visual hierarchy), and lang/title/main fire only on full documents, never partials, and the data-table check sees header-cell presence (a <th> exists), not whether each header correctly associates with its cells. Static readiness, not conformance.
  • AC6 Visual & motion safety: Contrast and motion safety are PARTIAL by construction β€” literal colours (hex/rgb/hsl/named) in inline styles, in-repo <style> blocks, in-repo .css files, var() tokens, Tailwind neutral utilities and CSS-in-JS top-level declarations are read (same-rule/same-element colour+background pairs only); computed/runtime/theme colour, external-CDN stylesheets, CSS-in-JS dynamic (${…}) and nested-selector colours, cross-element pairs and image contrast stay out of reach, so a clean result is bounded by what the static CSS itself shows.
  • AC7 A11y enforcement: Enforcement is scored from in-repo config/CI evidence only β€” an a11y gate enforced in external tooling with no in-repo trace can't be credited, and a configured linter is presence, not proof the rules actually run or block a merge.
  • DM4 Rich vs anemic model: Behaviour is detected as state mutation inside a method body β€” a method that enforces an invariant by validating-and-throwing without mutating reads as a query, and mutation delegated through an interface the scan can't resolve isn't credited; entities with zero public properties still drop out of the population. It detects that state changes, not whether the rule is correct.
  • DM6 Domain ↔ infrastructure boundary: Infrastructure reached through a hand-rolled wrapper, a domain-named facade, reflection, or a string-keyed service locator resolves to a non-infra type and isn't seen; the body scan is symbol resolution over syntax, not full dataflow. A clean result means "no resolved infra reference in a domain body", not a proof of purity.
  • M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present β€” it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
  • P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see β€” only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
  • P5 DR & Backup: Backup/restore and disaster-recovery readiness is judged from in-repo evidence β€” a config that exists is not a tested restore, so the absence of positive evidence is reported as "not evidenced", never scored as present.
  • P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) β€” controls configured in external tooling, with no in-repo trace, cannot be credited.

The LLM boundary

LLM-set scores this run (3): D19, D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score (documentation, ADR quality, naming, comment value, onboarding) β€” D25 sets the ADR-conformance fraction over sampled code, D22 judges API accuracy over a sample. These are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.

Dimensions

D4 Β· Code Duplication9.4 / 10Exemplaryβœ“ Tool-verified

What it measures: Copy-pasted code that should be shared instead.

Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 9.4 / 10 Β· rule-coverage 100% Β· ceiling Verified

10 duplicated block group(s) detected.

Duplicated block (9 lines × 2) Β· Γ—3src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:234
Duplicated block (8 lines × 2) Β· Γ—2src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:298
Duplicated block (16 lines × 2)src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:162
Duplicated block (12 lines × 2)src/main/java/org/eclipse/cargotracker/interfaces/booking/facade/internal/assembler/CargoStatusDtoAssembler.java:68
Duplicated block (10 lines × 3)src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:131

+ 2 more group(s) β€” more in Appendix A; the complete list is findings.md.

βœ“ On the Gold path β€” maintain.

Detailed fixes: d4_recommendation.md Β· top locations in Appendix A, every location in findings.md.

D13 Β· Secret Scanning10.0 / 10Exemplaryβ—‹ Nothing flagged

What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.

Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 10.0 / 10 Β· rule-coverage 100% Β· ceiling Prevented

Secret scan ran and found no leaked secrets.

βœ“ On the Gold path β€” maintain.

Detailed fixes: d13_recommendation.md.

D15 Β· Churn × Complexity Hotspots10.0 / 10Exemplaryβœ“ Tool-verified

What it measures: Files that change often and are also complex β€” the riskiest hotspots.

Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 10.0 / 10 Β· rule-coverage 100% Β· ceiling Documented

No churn × complexity hotspots in the window.

βœ“ On the Gold path β€” maintain.

Detailed fixes: d15_recommendation.md.

D16 Β· Bus Factor8.4 / 10Strongβœ“ Tool-verified

What it measures: Whether knowledge is concentrated in too few people (the "bus factor").

Method: Living knowledge per author via time-decayed commit attribution (6-month half-life, focus weighting) across largest source files. Deterministic, avoids blame's mechanical-refactor false positives.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 8.4 / 10 Β· rule-coverage 100% Β· ceiling Documented

4 source file(s) have their living knowledge concentrated in one author (β‰₯90% of recent, decayed contribution). The largest is src/main/java/org/eclipse/cargotracker/infrastructure/routing/ExternalRoutingService.java.

Off-boarding risk: anonymized user #1

What to do

  1. Resolve the 1 Off-boarding risk finding(s) in Bus Factor. β€” One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d16_recommendation.md Β· top locations in Appendix A, every location in findings.md.

D19 Β· Documentation Quality / 10Adequate◐ Sampled Β· advisory

What it measures: Whether the project's documentation is clear, complete, and useful.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic doc sample (READMEs plus first 25 architecture docs), with two-pass stability filtering. Advisory, sampled.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective Adequate / 10 Β· rule-coverage 100% Β· ceiling Documented

The single README is a solid project description that states the origin (Java DDD sample from Citerus), the application purpose (shipping cargo tracker with Jakarta EE), and links to further documentation. It describes getting started without an IDE (bare-bones mvnw command + http access) and mentions Maven profiles for GlassFish/Open Liberty, but it is clipped mid-sentence inside a code block, so the Getting Started steps are cut off before being fully shown. The document also outlines an architecture/development outline (Exploring the Application; Exploring the Code; Cloud Demo; Jakarta EE 8; Java EE 7; Contributing; Known Issues) and links to slides and a YouTube recording, which would make this project's documentation far more complete than it currently is.

What to do

  1. Improve Documentation Quality β€” currently 6.0/10. β€” The single README is a solid project description that states the origin (Java DDD sample from Citerus), the application purpose (shipping cargo tracker with Jakarta EE), and links to further documentation. It describes getting started without an IDE (bare-bones mvnw command + http access) and mentions Maven profiles for GlassFish/Open Liberty, but it is clipped mid-sentence inside a code block, so the Getting Started steps are cut off before being fully shown. The document also outlines an architecture/development outline (Exploring the Application; Exploring the Code; Cloud Demo; Jakarta EE 8; Java EE 7; Contributing; Known Issues) and links to slides and a YouTube recording, which would make this project's documentation far more complete than it currently is.

Detailed fixes: d19_recommendation.md.

D21 Β· Naming Consistency / 10Exemplary◐ Sampled Β· advisory

What it measures: Whether names β€” types, methods, variables β€” are clear and consistent.

Method: Judged by language model at low temperature (0.0-0.1) on a deterministic random symbol sample (fixed size, not exhaustive), with disclosed confidence band. Advisory, sampled.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective Exemplary / 10 Β· rule-coverage 100% Β· ceiling Verified

0 naming inconsistencies across 0 sampled symbols.

βœ“ On the Gold path β€” maintain.

Detailed fixes: d21_recommendation.md.

D28 Β· Secrets (history)10.0 / 10Exemplaryβ—‹ Nothing flagged

What it measures: Whether any secrets were ever committed β€” scanned across the full git history, not just now.

Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 10.0 / 10 Β· rule-coverage 100% Β· ceiling Documented

gitleaks scanned the full history AND the current working tree and found no secrets.

βœ“ On the Gold path β€” maintain.

Detailed fixes: d28_recommendation.md.

D29 Β· Static Analysis (SAST)0.3 / 10Criticalβœ“ Tool-verified

What it measures: Real static-analysis (SAST) findings β€” likely security bugs in the code, any language.

Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.

Coverage: semgrep pattern rules over all files β€” exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 0.3 / 10 Β· rule-coverage 100% Β· ceiling Documented

22 finding(s): 0 critical, 19 high, 3 medium, 0 low.

High: github-actions-mutable-action-tag Β· Γ—19.github/workflows/main.yml:20detected by semgrep finding
Medium: allow-privilege-escalation-no-securitycontext Β· Γ—3cargo-tracker.yml:17detected by semgrep finding

What to do

  1. Resolve the 19 High finding(s) in Static Analysis (SAST) β€” start with nightly.yml (13), main.yml (6). β€” One of this dimension's main actionable groups (19 issue-level).
  2. Resolve the 3 Medium finding(s) in Static Analysis (SAST) β€” start with cargo-tracker.yml, postgres.yml, HandlingEventRegistrationAttemptConsumer.java. β€” One of this dimension's main actionable groups (3 warning-level).

Detailed fixes: d29_recommendation.md Β· top locations in Appendix A, every location in findings.md.

D31 Β· IaC & Container Security7.6 / 10Strongβœ“ Tool-verified

What it measures: Whether Dockerfiles / Terraform / Kubernetes config follow security best practices.

Method: IaC/container misconfiguration scan via trivy config (Dockerfile/Terraform/K8s/Helm/CloudFormation); severity rules to 0-10 moderate normalizer. NotApplicable without manifests. Exhaustive, deterministic.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 7.6 / 10 Β· rule-coverage 100% Β· ceiling Documented

28 finding(s): 0 critical, 2 high, 14 medium, 12 low.

High IaC: KSV-0014 Β· Γ—2cargo-tracker.ymldetected by trivy finding
Medium IaC: KSV-0001 Β· Γ—14cargo-tracker.ymldetected by trivy finding
Low IaC: KSV-0003 Β· Γ—12cargo-tracker.ymldetected by trivy finding

What to do

  1. Resolve the 2 High IaC finding(s) in IaC & Container Security β€” start with cargo-tracker.yml, postgres.yml. β€” One of this dimension's main actionable groups (2 issue-level).
  2. Resolve the 14 Medium IaC finding(s) in IaC & Container Security β€” start with cargo-tracker.yml (7), postgres.yml (6), Dockerfile. β€” One of this dimension's main actionable groups (14 warning-level).
  3. Resolve the 12 Low IaC finding(s) in IaC & Container Security β€” start with cargo-tracker.yml (6), postgres.yml (6). β€” One of this dimension's main actionable groups (12 recommendation-level).

Detailed fixes: d31_recommendation.md Β· top locations in Appendix A, every location in findings.md.

D34 Β· Knowledge Freshness9.6 / 10Exemplaryβœ“ Tool-verified

What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned β€” last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.

Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 9.6 / 10 Β· rule-coverage 100% Β· ceiling Documented

1 of 25 significant source file(s) are orphaned β€” their living knowledge has decayed to nothing, so no one currently understands them. The largest is src/main/java/org/eclipse/cargotracker/interfaces/booking/sse/RealtimeCargoTrackingViewAdapter.java.

Further orphaned files (smaller)

βœ“ On the Gold path β€” maintain.

Detailed fixes: d34_recommendation.md Β· top locations in Appendix A, every location in findings.md.

D35 Β· Change Coupling10.0 / 10Exemplaryβœ“ Tool-verified

What it measures: Whether files that change together actually belong together β€” pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.

Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only β€” tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file β‰₯10 revisions, β‰₯5 shared commits, β‰₯50% strength); sweeping commits excluded. Deterministic over fixed history.

Coverage: Population: PRODUCTION source files only β€” test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling; coupling through a build step, config, or non-source file isn't seen.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 10.0 / 10 Β· rule-coverage 100% Β· ceiling Documented

No strong hidden change-coupling between production files.

βœ“ On the Gold path β€” maintain.

Detailed fixes: d35_recommendation.md.

D40 Β· Network Egress Confinement6.0 / 10Adequateβœ“ Tool-verified

What it measures: Whether Kubernetes workloads restrict network EGRESS with a NetworkPolicy (or Cilium policy), limiting where a compromised pod can send data or reach a command-and-control server. Presence of committed egress-restricting policy, not runtime enforcement.

Method: Deterministic YAML-manifest inspection (no external tool, no Roslyn β€” language-agnostic): Kubernetes workloads gate applicability; credits a NetworkPolicy / Cilium policy that restricts egress (policyTypes: [Egress] / egress rules). Reward-leaning (neutral floor climbing to 10, never a deduction β€” baseline misconfigs stay with D31). Deterministic.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 6.0 / 10 Β· rule-coverage 100% Β· ceiling Documented

0/2 network-egress controls present (network policy, egress restriction).

No network policy

What to do

  1. Resolve the 1 No network policy finding(s) in Network Egress Confinement. β€” One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d40_recommendation.md Β· top locations in Appendix A, every location in findings.md.

D41 Β· Kernel & Syscall Confinement6.0 / 10Adequateβœ“ Tool-verified

What it measures: Whether Kubernetes workloads confine the kernel boundary β€” a seccomp profile (RuntimeDefault/Localhost) plus an AppArmor/SELinux mandatory-access-control layer β€” shrinking the syscall attack surface a container escape would use. Presence of committed confinement config, not runtime enforcement.

Method: Deterministic YAML-manifest inspection (no external tool, no Roslyn): on Kubernetes workloads, credits a seccomp profile (RuntimeDefault/Localhost) and an AppArmor/SELinux MAC layer. Reward-leaning (neutral floor climbing to 10); NotApplicable without workloads. Deterministic.

Maturity: Documented β†’ Verified β†’ Prevented Β· effective 6.0 / 10 Β· rule-coverage 100% Β· ceiling Documented

0/2 syscall-confinement controls present (seccomp, AppArmor/SELinux).

No seccomp profile
No AppArmor/SELinux confinement

What to do

  1. Resolve the 1 No seccomp profile finding(s) in Kernel & Syscall Confinement. β€” One of this dimension's main actionable groups (1 recommendation-level).
  2. Resolve the 1 No AppArmor/SELinux confinement finding(s) in Kernel & Syscall Confinement. β€” One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d41_recommendation.md Β· top locations in Appendix A, every location in findings.md.

Frontend & cross-cutting dimensions

R = React/JS Β· M = Maturity Β· P = Readiness.

AC3 Β· Page structure1.0 / 10Criticalβœ“ Tool-verified

Other Β· Accessibility β€” Whether pages declare a language (well-formed BCP-47) and a non-empty title, expose exactly one main landmark and a sane heading order with non-empty headings, keep zoom enabled, title their iframes, give data tables header cells, and avoid meta-refresh. Static markup readiness, not a WCAG conformance claim.

Method: Static markup-model scan: html lang, document <title>, a main landmark and heading order on full documents only, plus zoom-disabling viewports, untitled iframes and meta-refresh anywhere. Deterministic, per structural checkpoint.

  • The page declares no language, so assistive tech can't pick the right pronunciation. Add lang (e.g. lang="en"). (×9) β€” package.html:1, package.html:1, package.html:1, …
  • A page with no <title> gives no name in the tab, history or screen-reader page list. Add a descriptive <title> in <head>. (×8) β€” package.html:1, package.html:1, package.html:1, …
  • No <main> (or role="main") means no "skip to content" target and a weaker landmark map. Wrap the primary content in <main>. (×8) β€” package.html:1, package.html:1, package.html:1, …

What to do

  • Declare <html lang>, a document <title> and a <main> landmark, keep headings in order, leave zoom enabled, title iframes and drop meta-refresh.
AC6 Β· Visual & motion safety2.2 / 10Criticalβœ“ Tool-verified

Other Β· Accessibility β€” Whether focus outlines aren't removed without a replacement, motion respects prefers-reduced-motion, and literal CSS colour pairs meet contrast β€” PARTIAL: inline styles, in-repo <style> blocks, in-repo .css files, var() tokens, Tailwind neutral utilities and CSS-in-JS literals are read (hex/rgb/hsl/named), never computed/runtime/external-CDN colour. Static markup readiness, not a WCAG conformance claim.

Method: Static markup/CSS scan: inline outline:none/0, literal inline colour/background contrast against the 4.5:1 AA floor, and <style>-block animation without a prefers-reduced-motion guard. Deterministic but PARTIAL β€” only inline styles and in-repo CSS literals are visible.

  • `.leaflet-bar a.leaflet-disabled` sets color: #bbb on background-color: #f4f4f4 β€” 1.7:1, below the 4.5:1 WCAG AA minimum for normal text. Darken or lighten one of them. β€” leaflet.css:382
  • `.ui-button, button.ui-button.ui-state-default, .ui-button.ui-state-default` sets color: #ffffff on background-color: #FFA500 β€” 2.0:1, below the 4.5:1 WCAG AA minimum for normal text. Darken or lighten one of them. β€” app.css:310
  • `.button:hover` sets color: rgba(255, 255, 255, 1) on background-color: rgb(248, 187, 19) β€” 1.7:1, below the 4.5:1 WCAG AA minimum for normal text. Darken or lighten one of them. β€” title.css:118

What to do

  • Keep a visible focus style (don't remove the outline without a replacement), guard animation with prefers-reduced-motion, and raise low-contrast colour pairs to at least 4.5:1.
AC7 Β· A11y enforcement4.0 / 10Weakβœ“ Tool-verified

Other · Accessibility — Whether accessibility is ENFORCED in the toolchain — an accessibility checker configured over the markup (an a11y lint rule set, e.g. eslint-plugin-jsx-a11y or vuejs-accessibility where the project lints JavaScript) and an automated accessibility assertion wired into tests or CI (axe/pa11y/Lighthouse or an equivalent) — on the Documented→Verified→Prevented ladder.

Method: Repo config/CI scan: an accessibility checker configured over the markup (an a11y lint rule set such as eslint-plugin-jsx-a11y / vuejs-accessibility where JavaScript is linted) and an automated accessibility assertion in tests or CI (axe/pa11y/Lighthouse or equivalent), graded on the Documented→Verified→Prevented rungs. Deterministic, presence/rung detection.

  • No accessibility enforcement found β€” no accessibility linting at author time and no automated accessibility check in tests or CI. Add your UI toolkit's own accessibility assertion to the test suite (Flutter `meetsGuideline`, Espresso `AccessibilityChecks`, XCTest `performAccessibilityAudit`), then gate that test in the pipeline.

What to do

  • Enforce accessibility in the toolchain your project already uses: assert accessibility in your UI test suite with your toolkit's own matcher (Flutter `meetsGuideline`, Espresso `AccessibilityChecks`, XCTest `performAccessibilityAudit`), then gate that test in CI so a regression blocks the merge.
AX5 Β· Architecture & structure10.0 / 10Exemplaryβœ“ Tool-verified

Other Β· Architecture β€” Whether the codebase has a recognisable, scale-appropriate structure (a named architectural style, or modular enough for its size) rather than being an ad-hoc ball of mud.

Method: Roslyn plus csproj analysis: architecture style detection (DDD, clean, vertical-slice, CQRS) and structure fitness for repo size. Deterministic.

DM1 Β· Aggregate boundaries3.5 / 10Weakβœ“ Tool-verified

Other Β· Domain Modelling β€” Whether aggregates reference each other by identity (id) rather than by direct object reference β€” the core DDD consistency-boundary rule.

Method: Roslyn (DDD-gated): aggregate roots identified by convention; each aggregate field checked for direct references to other aggregates versus id-only. Deterministic, DDD-native.

Coverage: Population: aggregate roots identified by AggregateRoot/IAggregateRoot base/interface NAME convention; reference-by-identity then checked exhaustively within that set β€” a root not using those names is invisible.

  • `Cargo` references the aggregate root `Location` directly (via `origin`) β€” hold its `LocationId` instead.

What to do

  • Reference other aggregates by their strongly-typed id, never by object reference, so each aggregate stays an independent consistency boundary.
DM4 Β· Rich vs anemic model5.0 / 10Adequateβœ“ Tool-verified

Other Β· Domain Modelling β€” Whether aggregates/entities carry the behaviour that protects their invariants, rather than being data bags driven by external services.

Method: Roslyn (DDD-gated): entity method BODIES classified mutator-vs-query β€” only methods that mutate the entity's own declared state count as invariant-protecting behaviour, so a getter/passthrough doesn't rescue an anemic class. Deterministic, exhaustive over domain-layer entities.

Coverage: Population: entities by name/base convention; rich-vs-anemic judged by classifying each method body mutator-vs-query β€” logic-bearing domain types outside the convention are invisible.

  • `Leg` is an aggregate/entity with 6 data propert(ies) but no state-changing behaviour (only data and queries) β€” the business logic lives in a service. β€” Leg.java:18
  • `HandlingEvent` is an aggregate/entity with 8 data propert(ies) but no state-changing behaviour (only data and queries) β€” the business logic lives in a service. β€” HandlingEvent.java:42
  • `Location` is an aggregate/entity with 3 data propert(ies) but no state-changing behaviour (only data and queries) β€” the business logic lives in a service. β€” Location.java:24
  • `CarrierMovement` is an aggregate/entity with 5 data propert(ies) but no state-changing behaviour (only data and queries) β€” the business logic lives in a service. β€” CarrierMovement.java:20
  • `Voyage` is an aggregate/entity with 3 data propert(ies) but no state-changing behaviour (only data and queries) β€” the business logic lives in a service. β€” Voyage.java:21

What to do

  • Move business rules onto the aggregates/entities they govern so invariants are enforced at the source, not in anemic services.
DM5 Β· Encapsulated state10.0 / 10Exemplaryβœ“ Tool-verified

Other Β· Domain Modelling β€” Whether entities protect their state (private/init-only setters) instead of exposing public setters that bypass invariants. Softened when a rehydration framework (Marten/EF) is present.

Method: Roslyn (DDD-gated): public setters on entities detected; score softened when Marten/EF rehydration frameworks present. Deterministic, framework-aware.

Coverage: Population: entities by convention; encapsulation (setter shape) checked exhaustively within the set.

DM6 Β· Domain ↔ infrastructure boundary10.0 / 10Exemplaryβœ“ Tool-verified

Other Β· Domain Modelling β€” Whether the domain layer stays free of infrastructure dependencies (EF/Marten/HTTP/ASP.NET) β€” the clean-architecture dependency rule.

Method: Roslyn (DDD-gated): domain-layer types scanned for infrastructure usage in member SIGNATURES and inside method/accessor BODIES β€” resolved calls and object-creations into EF/Marten/HTTP/Mongo/Redis/message-bus types (not just a namespace allowlist). Deterministic, symbol-resolved, exhaustive over domain-layer bodies, DDD-native.

Coverage: Domain layer identified by NAMESPACE heuristic; infrastructure then resolved by symbol in member SIGNATURES and method/accessor BODIES β€” rename the layer and the check evaporates.

DM8 Β· Value-object opportunities10.0 / 10Exemplaryβœ“ Tool-verified

Other Β· Domain Modelling β€” Whether clusters of primitives that travel together (a missing value object) are extracted β€” a low-weight suggestion, LLM-confirmed when configured.

Method: Roslyn (DDD-gated): primitive parameter clusters recurring three or more times across signatures extracted, then confirmed by language model when configured. Advisory, low-weight.

M1 Β· Documentation (README)5.8 / 10Adequateβœ“ Tool-verified

Maturity Β· Maturity β€” Whether the repo and its projects have a README, and whether it's substantive and current.

Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.

  • 68 code files changed in the last 6 months but the README was not touched β€” it may no longer reflect the system.

What to do

  • Add a 'Testing' section to the root README β€” how to run the test suite.
  • Review the README against recent changes; refresh the parts that drifted.
M2 Β· Architecture documentation0.0 / 10Criticalβœ“ Tool-verified

Maturity Β· Maturity β€” Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.

Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.

  • No Architecture Decision Records found β€” no conventional ADR directory, no `NNNN-title.md` documents and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
  • No C4/PlantUML/Mermaid diagram or architecture.md β€” the high-level shape isn't documented.

What to do

  • Record significant decisions one document per decision β€” dated, stating the context, the decision and its consequences β€” and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
  • Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.
M3 Β· Folder & project structure10.0 / 10Exemplaryβœ“ Tool-verified

Maturity Β· Maturity β€” Whether the repo is organised deliberately β€” src/test separation and consistent project naming.

Method: Filesystem scan: src/test folder separation and namespace-prefix consistency (majority RootNamespace agreement). Exhaustive across projects, deterministic.

M4 Β· Documentation accuracy8.0 / 10Strong◐ Sampled Β· advisory

Maturity Β· Maturity β€” Whether the README actually describes the code that exists (LLM-judged, advisory).

Method: Judged by language model at low temperature: README accuracy versus actual projects, within a disclosed tolerance. Advisory, not a measured number.

  • README advertises a RAG / ML engine, but no ML/RAG code or dependency exists

What to do

  • Reconcile the README with reality: README advertises a RAG / ML engine, but no ML/RAG code or dependency exists.
P1 Β· CI/CD gates8.5 / 10Strongβœ“ Tool-verified

Readiness Β· Readiness β€” Whether an automated pipeline builds and tests every change.

Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.

  • A CI pipeline exists and the word "test" appears, but no explicit test-runner invocation (your stack's test command, or a test job) was matched β€” so either the gate runs tests through a step this pass could not recognise, or "test" is incidental here (a path, "latest", a reporter). Check the coverage dimensions first: if this repo has no test suite yet, that is the finding and this row follows from it. If a suite does exist, make the runner step explicit so the gate is unambiguous.

What to do

  • Run the test suite in CI via an explicit runner step for your stack, and gate merges on it.
P3 Β· Security & performance tooling0.0 / 10Criticalβœ“ Tool-verified

Readiness Β· Readiness β€” Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).

Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step β€” in this repository's own ecosystem. Exhaustive, deterministic.

  • No static application security testing detected. For this repository's stack, add spotbugs with find-sec-bugs (or `semgrep --config=auto`, which runs on any language) as a CI step.

What to do

  • Add a SAST step to CI running what this repository's stack ships: spotbugs with find-sec-bugs β€” or `semgrep --config=auto`, which runs on any language β€” so a security regression fails the build instead of landing.
  • Enable Dependabot/Renovate or a dependency-review gate.
  • Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
P4 Β· Deployment & Rollback5.0 / 10Adequateβœ“ Tool-verified

Readiness Β· Readiness β€” Whether releases are automated and safely reversible (probes, rolling updates, approval gates) β€” from manifests/pipeline files, not the live environment.

Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.

  • Deployment is orchestrated by compose, but no service declares a `healthcheck:` and nothing pins a previous image to fall back to β€” the runtime can tell that the container is up, not that it is serving, so a bad release is harder to detect and reverse.

What to do

  • Add a `healthcheck:` to the served compose service β€” probing the endpoint it already answers on where it has one β€” with `depends_on: condition: service_healthy` on whatever waits for it, and keep the deployed image tag immutable and recorded so rolling back is re-pointing at the previous tag rather than rebuilding.
  • Add an approval/environment gate (required reviewers / protection rules) before production promotion.
P5 Β· DR & Backup0.0 / 10Criticalβœ“ Tool-verified

Readiness Β· Readiness β€” Whether disaster recovery is planned and codified β€” backups, geo-recovery, RTO/RPO, persistence guarantees β€” from IaC + container manifests + docs, never the live cloud.

Method: Filesystem scan: disaster recovery, backup, geo-recovery, RTO/RPO, persistence guarantees from IaC, manifests, and docs. Exhaustive, deterministic, never a live environment.

  • A persistence guard (data volume / purge-protection) was found, but no backup, geo-recovery or RTO/RPO controls were evidenced β€” a volume that survives a container recreate is not a tested restore from catastrophic loss.

What to do

  • Codify backups + geo-recovery in IaC and document RTO/RPO and the restore procedure β€” a persistence guard alone is not disaster recovery.
P6 Β· Release Hygiene5.0 / 10Adequateβœ“ Tool-verified

Readiness Β· Readiness β€” Whether releases are traceable β€” a maintained changelog and explicit version stamping.

Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.

  • No CHANGELOG/HISTORY/RELEASES file β€” what shipped when isn't easy to reconstruct for support or audit. (Versioning/tagging makes releases traceable, but a changelog records the what.)

What to do

  • Keep a changelog (e.g. Keep-a-Changelog) recording what shipped in each release.

WCAG coverage β€” what static analysis assessed

Statically assessed 8 of 55 WCAG 2.2 Level A/AA success criteria (15%; β‰ˆ16% of the 50 WCAG 2.1 AA criteria for EN 301 549). The other 47 require runtime or manual evaluation. Partial signal only (a clean result is necessary, not sufficient; static analysis fully verifies none). This is accessibility readiness, not a conformance claim β€” a WCAG conformance claim requires manual evaluation (WCAG-EM 1.0).

DimensionWCAG 2.2 A/AA criteriaCoverage
AC3 Β· Page structure1.4.4, 2.2.1, 2.4.1, 2.4.2, 3.1.1, 4.1.2Partial signal
AC6 Β· Visual & motion safety1.4.3, 2.4.7Partial β€” literal CSS only
AC7 Β· A11y enforcementenforcement β€” no page criterionEnforcement posture (process)

Not statically assessed β€” these 47 Level A/AA criteria need runtime or manual evaluation (WCAG-EM): 1.1.1, 1.2.1, 1.2.2, 1.2.3, 1.2.4, 1.2.5, 1.3.1, 1.3.2, 1.3.3, 1.3.4, 1.3.5, 1.4.1, 1.4.2, 1.4.5, 1.4.10, 1.4.11, 1.4.12, 1.4.13, 2.1.1, 2.1.2, 2.1.4, 2.2.2, 2.3.1, 2.4.3, 2.4.4, 2.4.5, 2.4.6, 2.4.11, 2.5.1, 2.5.2, 2.5.3, 2.5.4, 2.5.7, 2.5.8, 3.1.2, 3.2.1, 3.2.2, 3.2.3, 3.2.4, 3.2.6, 3.3.1, 3.3.2, 3.3.3, 3.3.4, 3.3.7, 3.3.8, 4.1.3.

Reference β€” by lens

The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.

LensScoreRatingImpact
Code Health94%ExemplarySolid.
Architecture100%ExemplaryStrongest area.
Maturity52%Adequate β€” gated by M2Capped at Fair by a Critical contributor β€” resolve it before relying on this lens.
Readiness30%Weak β€” gated by P3, P5Capped at Fair by a Critical contributor β€” resolve it before relying on this lens.
Security60%Adequate β€” gated by D29Capped at Fair by a Critical contributor β€” resolve it before relying on this lens.
Domain Modelling63%Adequate β€” gated by DM1Capped at Fair by a Critical contributor β€” resolve it before relying on this lens.
Accessibility21%Critical β€” gated by AC3, AC6Capped at Fair by a Critical contributor β€” resolve it before relying on this lens.
Not included β€” 70 check(s) not relevant to this codebase

These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.

  • AC1 Text alternatives β€” No image/media element found in the parsed markup β€” AC1 not applicable here.
  • AC2 Forms & labels β€” No form control/button found in the parsed markup β€” AC2 not applicable here.
  • AC4 Keyboard semantics β€” No interactive element found in the parsed markup β€” AC4 not applicable here.
  • AC5 ARIA correctness β€” No ARIA usage found in the parsed markup β€” AC5 not applicable here.
  • AX1 Captive dependencies β€” no DI registrations detected
  • AX10 Code composition β€” not assessed β€” code composition is computed by ROLE over a document set that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX2 Stateful singletons β€” no singleton implementations detected
  • AX3 Project dependency cycles β€” not assessed β€” project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX4 Dependency direction β€” not assessed β€” project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX6 Interface segregation β€” not assessed β€” interface segregation is computed over a type surface that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX7 Slice cohesion β€” not applicable β€” not a vertical-slice architecture
  • AX8 Test isolation β€” not assessed β€” test isolation is computed from a project graph (which projects are test projects, and what they reference) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • AX9 CQS / query purity β€” no CQRS query handlers detected β€” query purity is not applicable to this codebase
  • AXB2 Runtime readiness β€” Advisory β€” this card reports evidence and never carries a score, so there is nothing missing here.
  • C1 Data Protection β€” Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository β€” because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C2 Access Controls β€” Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository β€” because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C3 Audit Trail β€” Not assessed: these audit controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository β€” because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks audit controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C4 Data Retention β€” Not assessed: these retention controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository β€” because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks retention controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • C5 Data-Subject Rights β€” Not assessed: these data-subject rights controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository β€” because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks data-subject rights controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • D1 Cyclomatic Complexity β€” Most of this repository's production source (.js) had no cyclomatic complexity computed for it, so cyclomatic complexity was not measured β€” whatever else this pass did read is not this repository's complexity. Not scored: no method bodies were exposed for those file kinds by any language model this pass could load. This is a gap in the analysis run, not a finding about this repository.
  • D10 Test Quality β€” ~1373 lines of test source are present (.java) but the test-quality collector reads C# only, so skipped/assertion-free tests couldn't be counted. Not scored β€” this is a gap in the analyzer, not a finding about this repository.
  • D11 Test Reliability β€” Test reliability not included
  • D12 Dependency Hygiene β€” Dependency hygiene not measured β€” dependency manifest found but not parsed for hygiene
  • D14 License Compliance β€” Not scored β€” this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (a Maven POM), which this pass does not parse yet β€” so this dimension asserts nothing about this repository's licensing in either direction.
  • D17 Explicit Debt β€” explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language β€” this asserts nothing about how many markers the code carries. Not scored β€” this is a gap in the analyzer, not a finding about this repository
  • D18 Solution Shape β€” D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
  • D2 Cognitive Complexity β€” Most of this repository's production source (.js) had no cognitive complexity computed for it, so cognitive complexity was not measured β€” whatever else this pass did read is not this repository's complexity. Not scored: no method bodies were exposed for those file kinds by any language model this pass could load. This is a gap in the analysis run, not a finding about this repository.
  • D20 ADR Quality β€” N/A β€” ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
  • D22 Internal API Consistency β€” No exposed public API
  • D23 Boundary Type-Coupling β€” Production source is present (.java) but bounded contexts are resolved over the C#/VB project set, which exposed none, so context scope could not be assessed. Not scored β€” this is a gap in the analyzer, not a verdict about this repository. Declaring the codebase's bounded contexts (β‰₯2) would let cross-boundary type coupling be assessed β€” see the recommendation on this dimension for where. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it β€” e.g. `architecture:` β†’ `contexts:` β†’ `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
  • D24 Comment Value β€” No inline comments to assess β€” comment value is not applicable here.
  • D25 ADR Conformance β€” no ADRs to check
  • D26 Project Cohesion β€” Project cohesion is assessed over the .NET project set; this target exposed no projects, so project size and spread could not be assessed. Not scored β€” this is a gap in the analyzer's reach, not a verdict about this repository.
  • D27 Navigability β€” No calls could be sampled, so navigability was not assessed β€” tracing effort is measured over resolved call sites and this target exposed none. Not scored β€” this is a gap in the analyzer's reach, not a verdict about this repository.
  • D3 God Classes β€” Most of this repository's production source (.js) was not read by god-class detection, so class size was not assessed for the languages that are the product β€” whatever else this pass did read is not this repository's class size. Not scored β€” this is a gap in the analyzer, not a verdict about this repository.
  • D30 Dependency Vulnerabilities β€” Not scored β€” no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Maven POM β€” not scanned yet) β€” where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
  • D32 Data Compliance (PII/GDPR) β€” No PII/GDPR-handling patterns detected (p/gdpr ruleset) β€” no data-compliance surface to assess.
  • D33 JS/npm Dependency Vulnerabilities β€” No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
  • D36 Supply-chain Provenance & Signing β€” The CI pipeline builds and tests but publishes no released artifact β€” no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release).
  • D37 Vulnerability-disclosure Policy β€” No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
  • D38 OSV Dependency Vulnerabilities β€” Scanner failed to run β€” not a clean result
  • D39 IL Efficiency β€” D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
  • D42 Runtime Threat Enforcement β€” The repository ships application workloads but no cluster-governance resources (CRDs, admission webhooks, or a committed policy engine). Runtime threat-detection (Falco/Tetragon) and admission control (Kyverno/OPA-Gatekeeper/PodSecurity) are cluster-OPERATOR controls owned by the platform, not shipped by an application repo/chart β€” nothing for this repo to assess.
  • D5 Coupling β€” Inter-project coupling could not be assessed β€” no analyzable project graph was found for this repository. Not scored: a gap in the analyzer's reach, not a verdict about this repository. (Coupling here is Martin afferent/efferent/instability plus reference cycles across a project-reference graph, read today from .NET project files; other ecosystems' module graphs are not read yet.)
  • D6 Cohesion (LCOM4) β€” Cohesion (LCOM4) is measured over a C#/VB class graph, and this repository's production source is .java, which this pass does not read β€” so no class could be assessed. Not scored β€” this is a gap in the analyzer, not a finding about this repository.
  • D7 Architectural Integrity β€” no checkable ADRs, and no project-reference graph for the cycle pass to read β€” so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
  • D8 Code Coverage β€” Coverage not included β€” suite not readable by the collector
  • D9 Test Distribution β€” Test source is present (.java) but the test-pyramid classifier reads C# only, so its unit/integration/BDD/E2E split couldn't be counted. Not scored β€” this is a gap in the analyzer, not a finding about this repository.
  • DM2 Strongly-typed ids β€” no id-bearing domain types detected β€” strongly-typed-id adoption not assessable
  • DM3 Integration-event coupling β€” no integration events detected β€” coupling check not applicable
  • DM7 Repository granularity β€” no repository abstraction detected (e.g. uses a document session)
  • ED1 Event-Driven β€” not scored β€” this repository shows none of the 3 signals this check looks for
  • ED5 Idempotency β€” no mutating command handlers or message consumers detected β€” idempotency check not applicable
  • ES1 Event Sourcing β€” not scored β€” this repository shows none of the 3 signals this check looks for
  • GD1 Unfinished & placeholder code β€” no source files
  • IC1 Incompleteness & stubs β€” not analysed β€” these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • P12 CI test-gate honesty β€” Reported, not scored β€” and nothing was matched here. The coverage check applies to any stack, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
  • P2 Observability β€” Observability was not assessed: this check reads a source model that does not carry this repository's product β€” because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of a logging idiom this check recognises is NOT evidence that this repo lacks structured logging (it may log through its own ecosystem's logger). This is a gap in the analyzer, not a finding about this repository.
  • P7 Outbound HTTP resilience β€” not measured β€” the application kind could not be determined for this repo
  • P8 Schema migrations β€” not assessed β€” schema-migration practice is read from a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • P9 Domain vs controller coverage β€” no coverage report found on disk β€” produce a coverage report in a standard format (JaCoCo XML β€” `mvn jacoco:report`) into the repo working tree before the scan β€” a CI step is the usual place, since the artefact is commonly gitignored, or wire coverage collection into CI, to enable this cross-layer check
  • PF1 Benchmark discipline β€” Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository β€” in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • PF2 Allocation hygiene β€” Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository β€” in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • PF3 Async & latency hygiene β€” Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository β€” in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • S1 Web-Security Posture β€” Not assessed: these web-security controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository β€” because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks web-security controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
  • X1 Async correctness β€” not analysed β€” these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X2 Cancellation propagation β€” not analysed β€” these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X3 Exception handling β€” not analysed β€” these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X4 Structured logging β€” not analysed β€” these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
  • X5 Nullable reference types β€” not analysed β€” these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository

Appendix A β€” Findings (grouped)

The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.

Issue β€” 21 finding(s)
D29 Β· Static Analysis (SAST) Β· High Β· Γ—19
  • High: github-actions-mutable-action-tag .github/workflows/main.yml:20 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v7`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v7 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/main.yml:22 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-java@<40-character SHA>`. This step references `actions/setup-java@v5`; resolve the SHA it points at today with `gh api repos/actions/setup-java/commits/v5 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/main.yml:27 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/cache@<40-character SHA>`. This step references `actions/cache@v6`; resolve the SHA it points at today with `gh api repos/actions/cache/commits/v6 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/main.yml:41 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v7`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v7 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/main.yml:43 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-java@<40-character SHA>`. This step references `actions/setup-java@v5`; resolve the SHA it points at today with `gh api repos/actions/setup-java/commits/v5 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/main.yml:48 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/cache@<40-character SHA>`. This step references `actions/cache@v6`; resolve the SHA it points at today with `gh api repos/actions/cache/commits/v6 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/nightly.yml:12 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v7`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v7 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/nightly.yml:15 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-java@<40-character SHA>`. This step references `actions/setup-java@v5`; resolve the SHA it points at today with `gh api repos/actions/setup-java/commits/v5 --jq .sha`.
  • High: github-actions-mutable-action-tag .github/workflows/nightly.yml:21 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/cache@<40-character SHA>`. This step references `actions/cache@v6`; resolve the SHA it points at today with `gh api repos/actions/cache/commits/v6 --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:12 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v3`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v3 --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:15 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions-hub/kubectl@<40-character SHA>`. This step references `actions-hub/kubectl@master`; resolve the SHA it points at today with `gh api repos/actions-hub/kubectl/commits/master --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:23 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions-hub/kubectl@<40-character SHA>`. This step references `actions-hub/kubectl@master`; resolve the SHA it points at today with `gh api repos/actions-hub/kubectl/commits/master --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:31 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions-hub/kubectl@<40-character SHA>`. This step references `actions-hub/kubectl@master`; resolve the SHA it points at today with `gh api repos/actions-hub/kubectl/commits/master --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:39 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions-hub/kubectl@<40-character SHA>`. This step references `actions-hub/kubectl@master`; resolve the SHA it points at today with `gh api repos/actions-hub/kubectl/commits/master --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:46 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-java@<40-character SHA>`. This step references `actions/setup-java@v3`; resolve the SHA it points at today with `gh api repos/actions/setup-java/commits/v3 --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:52 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/cache@<40-character SHA>`. This step references `actions/cache@v3`; resolve the SHA it points at today with `gh api repos/actions/cache/commits/v3 --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:62 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: docker/login-action@<40-character SHA>`. This step references `docker/login-action@v2`; resolve the SHA it points at today with `gh api repos/docker/login-action/commits/v2 --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:69 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: docker/build-push-action@<40-character SHA>`. This step references `docker/build-push-action@v3`; resolve the SHA it points at today with `gh api repos/docker/build-push-action/commits/v3 --jq .sha`.
  • High: github-actions-mutable-action-tag nightly.yml:76 β€” GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks β€” as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions-hub/kubectl@<40-character SHA>`. This step references `actions-hub/kubectl@master`; resolve the SHA it points at today with `gh api repos/actions-hub/kubectl/commits/master --jq .sha`.
D31 Β· IaC & Container Security Β· High IaC Β· Γ—2
  • High IaC: KSV-0014 cargo-tracker.yml β€” Root file system is not read-only
  • High IaC: KSV-0014 postgres.yml β€” Root file system is not read-only
Warning β€” 27 finding(s)
D31 Β· IaC & Container Security Β· Medium IaC Β· Γ—14
  • Medium IaC: KSV-0001 cargo-tracker.yml β€” Can elevate its own privileges
  • Medium IaC: KSV-0012 cargo-tracker.yml β€” Runs as root user One securityContext edit clears this facet's near-duplicate rules together: KSV-0012, KSV-0020, KSV-0021.
  • Medium IaC: KSV-0104 cargo-tracker.yml β€” Seccomp policies disabled One securityContext edit clears this facet's near-duplicate rules together: KSV-0030, KSV-0104.
  • Medium IaC: KSV-0125 cargo-tracker.yml β€” Restrict container images to trusted registries
  • Medium IaC: KSV-0001 postgres.yml β€” Can elevate its own privileges
  • Medium IaC: KSV-0012 postgres.yml β€” Runs as root user One securityContext edit clears this facet's near-duplicate rules together: KSV-0012, KSV-0020, KSV-0021.
  • Medium IaC: KSV-0013 postgres.yml β€” Image tag ":latest" used
  • Medium IaC: KSV-0104 postgres.yml β€” Seccomp policies disabled One securityContext edit clears this facet's near-duplicate rules together: KSV-0030, KSV-0104.
  • Medium IaC: CKV_K8S_37 postgres.yml:1 β€” Minimize the admission of containers with capabilities assigned
  • Medium IaC: CKV_K8S_21 postgres.yml:32 β€” The default namespace should not be used
  • Medium IaC: CKV_K8S_37 cargo-tracker.yml:1 β€” Minimize the admission of containers with capabilities assigned
  • Medium IaC: CKV_K8S_21 cargo-tracker.yml:21 β€” The default namespace should not be used
  • Medium IaC: CKV_K8S_21 cargo-tracker.yml:33 β€” The default namespace should not be used
  • Medium IaC: CKV_DOCKER_3 Dockerfile:1 β€” Ensure that a user for the container has been created
D29 Β· Static Analysis (SAST) Β· Medium Β· Γ—3
  • Medium: allow-privilege-escalation-no-securitycontext cargo-tracker.yml:17 β€” In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
  • Medium: allow-privilege-escalation-no-securitycontext postgres.yml:16 β€” In Kubernetes, each pod runs in its own isolated environment with its own set of security policies. However, certain container images may contain `setuid` or `setgid` binaries that could allow an attacker to perform privilege escalation and gain access to sensitive resources. To mitigate this risk, it's recommended to add a `securityContext` to the container in the pod, with the parameter `allowPrivilegeEscalation` set to `false`. This will prevent the container from running any privileged processes and limit the impact of any potential attacks. By adding a `securityContext` to your Kubernetes pod, you can help to ensure that your containerized applications are more secure and less vulnerable to privilege escalation attacks.
  • Medium: insecure-jms-deserialization src/main/java/org/eclipse/cargotracker/infrastructure/messaging/jms/HandlingEventRegistrationAttemptConsumer.java:32 β€” JMS Object messages depend on Java Serialization for marshalling/unmarshalling of the message payload when ObjectMessage.getObject() is called. Deserialization of untrusted data can lead to security flaws; a remote attacker could via a crafted JMS ObjectMessage to execute arbitrary code with the permissions of the application listening/consuming JMS Messages. In this case, the JMS MessageListener consume an ObjectMessage type received inside the onMessage method, which may lead to arbitrary code execution when calling the objectMessage.getObject method.
D4 Β· Code Duplication Β· Duplicated block (9 lines × 2) Β· Γ—3
  • Duplicated block (9 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:234 β€” src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:234-242 | src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:318-326 β€” both copies are in the same file, so extract the block into one function there and call it from each site β€” the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:234` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand β€” widen the region to the smallest complete statement or declaration that contains it, and extract that.
  • Duplicated block (9 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:320 β€” src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:320-328 | src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:331-339 β€” both copies are in the same file, so extract the block into one function there and call it from each site β€” the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:320` it does not close everything it opens, so those exact lines cannot be lifted as they stand β€” widen the region to the smallest complete statement or declaration that contains it, and extract that.
  • Duplicated block (9 lines × 2) src/main/java/org/eclipse/cargotracker/domain/model/cargo/Itinerary.java:39 β€” src/main/java/org/eclipse/cargotracker/domain/model/cargo/Itinerary.java:39-47 | src/main/java/org/eclipse/cargotracker/domain/model/voyage/Schedule.java:37-45 β€” the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach β€” a location they all depend on today, or a new shared one if there is none β€” and call it from each site; until then, every change has to be made twice.
D4 Β· Code Duplication Β· Duplicated block (8 lines × 2) Β· Γ—2
  • Duplicated block (8 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:298 β€” src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:298-305 | src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:309-316 β€” both copies are in the same file, so extract the block into one function there and call it from each site β€” the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:298` it does not close everything it opens, so those exact lines cannot be lifted as they stand β€” widen the region to the smallest complete statement or declaration that contains it, and extract that.
  • Duplicated block (8 lines × 2) src/main/java/org/eclipse/cargotracker/interfaces/booking/web/ChangeArrivalDeadlineDialog.java:25 β€” src/main/java/org/eclipse/cargotracker/interfaces/booking/web/ChangeArrivalDeadlineDialog.java:25-32 | src/main/java/org/eclipse/cargotracker/interfaces/booking/web/ChangeDestinationDialog.java:25-32 β€” the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once.
D4 Β· Code Duplication Β· Duplicated block (16 lines × 2) Β· Γ—1
  • Duplicated block (16 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:162 β€” src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:162-177 | src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:246-261 β€” both copies are in the same file, so extract the block into one function there and call it from each site β€” the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:162` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand β€” widen the region to the smallest complete statement or declaration that contains it, and extract that.
D4 Β· Code Duplication Β· Duplicated block (12 lines × 2) Β· Γ—1
  • Duplicated block (12 lines × 2) src/main/java/org/eclipse/cargotracker/interfaces/booking/facade/internal/assembler/CargoStatusDtoAssembler.java:68 β€” src/main/java/org/eclipse/cargotracker/interfaces/booking/facade/internal/assembler/CargoStatusDtoAssembler.java:68-79 | src/main/java/org/eclipse/cargotracker/interfaces/tracking/web/CargoTrackingViewAdapter.java:121-132 β€” the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach β€” a location they all depend on today, or a new shared one if there is none β€” and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `src/main/java/org/eclipse/cargotracker/interfaces/booking/facade/internal/assembler/CargoStatusDtoAssembler.java:68` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand β€” widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
D4 Β· Code Duplication Β· Duplicated block (10 lines × 3) Β· Γ—1
  • Duplicated block (10 lines × 3) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:131 β€” src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:131-140 | src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:204-213 | src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:286-295 β€” all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites β€” resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:131` it does not close everything it opens, so those exact lines cannot be lifted as they stand β€” widen the region to the smallest complete statement or declaration that contains it, and extract that.
D4 Β· Code Duplication Β· Duplicated block (8 lines × 3) Β· Γ—1
  • Duplicated block (8 lines × 3) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:141 β€” src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:141-148 | src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:214-221 | src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:296-304 β€” all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites β€” resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:141` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand β€” widen the region to the smallest complete statement or declaration that contains it, and extract that.
D4 Β· Code Duplication Β· Duplicated block (7 lines × 2) Β· Γ—1
  • Duplicated block (7 lines × 2) src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:114 β€” src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:114-120 | src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:187-193 β€” both copies are in the same file, so extract the block into one function there and call it from each site β€” the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `src/main/java/org/eclipse/cargotracker/application/util/SampleDataGenerator.java:114` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand β€” widen the region to the smallest complete statement or declaration that contains it, and extract that.
Recommendation β€” 20 finding(s)
D31 Β· IaC & Container Security Β· Low IaC Β· Γ—12
  • Low IaC: KSV-0003 cargo-tracker.yml β€” Default capabilities: some containers do not drop all One securityContext edit clears this facet's near-duplicate rules together: KSV-0003, KSV-0004, KSV-0106.
  • Low IaC: KSV-0011 cargo-tracker.yml β€” CPU not limited
  • Low IaC: KSV-0015 cargo-tracker.yml β€” CPU requests not specified
  • Low IaC: KSV-0016 cargo-tracker.yml β€” Memory requests not specified
  • Low IaC: KSV-0018 cargo-tracker.yml β€” Memory not limited
  • Low IaC: KSV-0110 cargo-tracker.yml β€” Workloads in the default namespace
  • Low IaC: KSV-0003 postgres.yml β€” Default capabilities: some containers do not drop all One securityContext edit clears this facet's near-duplicate rules together: KSV-0003, KSV-0004, KSV-0106.
  • Low IaC: KSV-0011 postgres.yml β€” CPU not limited
  • Low IaC: KSV-0015 postgres.yml β€” CPU requests not specified
  • Low IaC: KSV-0016 postgres.yml β€” Memory requests not specified
  • Low IaC: KSV-0018 postgres.yml β€” Memory not limited
  • Low IaC: KSV-0110 postgres.yml β€” Workloads in the default namespace
D11 Β· Test Reliability Β· Test reliability not included Β· Γ—1
  • Test reliability not included β€” Test source is present (.java) but the built-in reliability runner does not support this repository's ecosystem, so flakiness couldn't be assessed. Not scored β€” this is a gap in the analyzer's language coverage, not a finding about this repository.
D16 Β· Bus Factor Β· Off-boarding risk Β· Γ—1
  • Off-boarding risk: anonymized user #1 β€” If anonymized user #1 becomes unavailable, 4 significant file(s) lose their only recent owner: src/main/java/org/eclipse/cargotracker/infrastructure/routing/ExternalRoutingService.java, src/main/java/org/eclipse/cargotracker/interfaces/CoordinatesFactory.java, src/main/java/org/eclipse/cargotracker/domain/model/cargo/RouteSpecification.java, src/main/java/org/eclipse/cargotracker/interfaces/booking/facade/dto/CargoRoute.java. Pair on, review, or document these before any departure.
D34 Β· Knowledge Freshness Β· Further orphaned files (smaller) Β· Γ—1
  • Further orphaned files (smaller) β€” 1 of 25 analysed file(s) have no living knowledge left β€” their last meaningful change has decayed away, so if one breaks, no one currently understands it (counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first). None is large enough to earn a read-through of its own, so this row stands in for the per-file rows rather than raising one each β€” largest first: src/main/java/org/eclipse/cargotracker/interfaces/booking/sse/RealtimeCargoTrackingViewAdapter.java. Attach the read to the next change that touches one of them: have a second person review that change, and leave behind a short comment or test recording what the file is for, so the knowledge comes back at the cost of a change you were making anyway.
D38 Β· OSV Dependency Vulnerabilities Β· Scanner failed to run Β· Γ—1
  • Scanner failed to run β€” not a clean result β€” osv-scanner exited 128 with no findings β€” the advisory database was likely unreachable. The scanner exited non-zero and produced no findings (typically the advisory DB was unreachable), so this is reported as a measurement gap rather than a clean pass.
D40 Β· Network Egress Confinement Β· No network policy Β· Γ—1
  • No network policy β€” No Kubernetes NetworkPolicy (or Cilium policy) found. Without one, every pod can talk to every other pod and reach out to the internet by default. Add a default-deny policy and open only the flows you need.
D41 Β· Kernel & Syscall Confinement Β· No seccomp profile Β· Γ—1
  • No seccomp profile β€” Workloads do not set a seccomp profile (RuntimeDefault or a Localhost profile). Seccomp blocks the syscalls a container never needs, shrinking the kernel attack surface a container escape would use.
D41 Β· Kernel & Syscall Confinement Β· No AppArmor/SELinux confinement Β· Γ—1
  • No AppArmor/SELinux confinement β€” Workloads declare no AppArmor or SELinux profile. A mandatory-access-control profile confines what a compromised container can touch on the host, complementing seccomp's syscall filter.
D8 Β· Code Coverage Β· Coverage not included Β· Γ—1
  • Coverage not included β€” suite not readable by the collector β€” Coverage NOT MEASURED: test source is present (.java) but the built-in coverage collector has no runner for this repository's ecosystem β€” so this suite was never executed by it. Not scored β€” this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (JaCoCo XML β€” `mvn jacoco:report`) into the repo working tree before the scan β€” a CI step is the usual place, since the artefact is commonly gitignored.
Info β€” 2 finding(s)
D12 Β· Dependency Hygiene Β· Dependency hygiene not measured Β· Γ—1
  • Dependency hygiene not measured β€” dependency manifest found but not parsed for hygiene β€” This repository's dependency manifest (a Maven POM) was found, but this pass cannot parse it for hygiene, so no package was assessed. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED β€” a gap in the analyzer, not a verdict about this repository. This row is about dependency HYGIENE β€” outdated, deprecated or unmaintained direct dependencies; known CVEs in the same dependency graph are a separate question, reported under D38 wherever the manifest is OSV-readable.
D22 Β· Internal API Consistency Β· No exposed public API Β· Γ—1
  • No exposed public API β€” No intentionally-exposed types (IsPackable or .Contracts) to evaluate.

Appendix B β€” Reproduction & audit trail

Every external tool invocation behind a deep-scan dimension β€” the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative β€” never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json β€” kept out of this table so the rendered report stays byte-identical across runs of the same commit.

DimensionToolVersionCommandFindingsRaw output
D28 Β· Secrets (history)gitleaksβ€”gitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .0artifacts/raw/gitleaks-history.json
D29 Β· Static Analysis (SAST)semgrepβ€”semgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .22artifacts/raw/semgrep.json
D30 Β· Dependency Vulnerabilitiesnone (no readable dependency manifest)β€”none (no readable dependency manifest): not present in this environment0β€”
D31 Β· IaC & Container Securitytrivyβ€”trivy config --format json --quiet .28artifacts/raw/trivy-config.json
D32 Β· Data Compliance (PII/GDPR)semgrepβ€”semgrep: not applicable β€” No PII/GDPR-handling patterns detected (p/gdpr ruleset) β€” no data-compliance surface to assess.0β€”
D33 Β· JS/npm Dependency Vulnerabilitiestrivyβ€”trivy: not applicable β€” No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.0β€”
D36 Β· Supply-chain Provenance & Signingprovenanceβ€”provenance: not applicable β€” The CI pipeline builds and tests but publishes no released artifact β€” no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release).0β€”
D37 Β· Vulnerability-disclosure Policydisclosureβ€”disclosure: not applicable β€” No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.0β€”
D38 Β· OSV Dependency Vulnerabilitiesosv-scannerβ€”osv-scanner --format json --recursive .0β€”
D42 Β· Runtime Threat Enforcementruntime-hardeningβ€”runtime-hardening: not applicable β€” The repository ships application workloads but no cluster-governance resources (CRDs, admission webhooks, or a committed policy engine). Runtime threat-detection (Falco/Tetragon) and admission control (Kyverno/OPA-Gatekeeper/PodSecurity) are cluster-OPERATOR controls owned by the platform, not shipped by an application repo/chart β€” nothing for this repo to assess.0β€”

Run 019fc9ba-f43c-7c75-bfd7-ebc9a78af438 Β· every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.

Downloadable artifacts

Machine-readable and reproducible from this commit + frozen rubric β€” drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.

⬇ Findings, MITRE CWE-tagged .sarif⬇ Health changelog .md