Public report — product-integrator-si, published 5 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 05-08-2026 @ 00:00 UTC Public
Code Health Audit

Wso2/product-Integrator-Si

49% At Risk

Hobby · 1,412 LoC · rebuild ~0.3 person-years · weakest lens: Readiness (31%)

Grounded in facts. Every number here is computed, not narrated — reproducible, tool-backed, and traceable to a line of code. How to trust this ▸

24/25dimensions tool-verifieddeterministic · confidence 1.0 · 1 LLM-assisted, advisory
40findings with an exact file:lineof 52 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
25/94dimensions across the health lenses1412 LoC — wide & deep

Executive summary

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

wso2/product-integrator-si carries serious gaps (49%). Several issues below can materially affect correctness, security, or the cost of changing it — and propagate to everything that depends on it.

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

Most urgent: a critical security exposure was detected (see the Security & Compliance lens). Treat it as a priority regardless of the overall grade.

The area that most needs attention is Readiness (31%) — releases are harder to depend on — versioning, release notes and dependency hygiene are thin, so consumers can't easily tell what changed or trust an upgrade. Maturity (47%) is the next concern — onboarding is slow — key decisions and the architecture aren't written down, so contributors have to reverse-engineer the intent.

Leadership focus, highest impact first: CI workflow that builds and runs the test suite on every push/PR (CI/CD gates); Your ecosystem's static analyzer is declared as a dependency… (Security & performance tooling); Document RTO/RPO and a tested restore procedure (a backup… (DR & Backup).

For scale: Hobby (~1,412 production lines); rebuilding it from scratch would take roughly ~0.3 person-years (~1 engineer). Approximate, ±~30%.

Encouragingly, the gaps are in documentation and release process — not in the code's correctness, structure or security, which are strong. They're low-risk to close, and doing so would lift the grade without re-engineering anything that already works.

How the score is built — 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.
Readiness 31% · 47% weightMaturity 47% · 26% weightSecurity 71% · 14% weightCode Health 94% · 8% weightArchitecture 100% · 4% weight

Raise Readiness 31 → 70 (the Healthy floor) ⇒ headline 49 → ~63.

Code composition — where the lines go
Tests 100%
New since the last scan (9+)

9 finding(s) are new versus the previous scan (2026-07-31) — surfaced by this scheduled scan itself, no pull request required.

  • D19 · LLM evaluation failed
  • D31 · Medium IaC: CKV_K8S_21 modules/kubenetes/01-siddhi-operator.yaml
  • D31 · Medium IaC: CKV_K8S_37 modules/kubenetes/01-siddhi-operator.yaml
  • D31 · Medium IaC: CKV_K8S_21 modules/kubenetes/00-prereqs.yaml
  • D31 · Medium IaC: CKV_K8S_21 modules/kubenetes/00-prereqs.yaml
  • D31 · Medium IaC: CKV_K8S_21 modules/kubenetes/00-prereqs.yaml
  • D31 · Medium IaC: CKV_DOCKER_2 modules/distribution/src/docker-distribution/filtered/Dockerfile
  • D31 · Medium IaC: CKV_DOCKER_7 modules/distribution/carbon-home/resources/dockerfiles/Dockerfile
  • D31 · Medium IaC: CKV_DOCKER_3 modules/distribution/carbon-home/resources/dockerfiles/Dockerfile

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

Rebuild cost & value ~ Modeled — €14,000–€72,000
Cost to rebuild€14,000–€72,000 (0.1–0.4 person-years (237–753 h), ~1 engineer)
Domain complexityStandard — harder problems cost more per line
Quality factor0.7× (at 49% quality) — the last 20% of quality is most of the work
Size & shapeHobby · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)

This codebase represents roughly ~0.3 person-years of build effort (about ~€43,000 to rebuild). Its weakest lens is Readiness at 31% — the part of that asset most exposed by the findings below.

How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.0) — standard service × 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 — 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
Resolve the 1 Leaked secret finding(s) in Secret Scanning — start with deployment.yaml.
+15.4 pts · Low effort · Secret Scanning
2
Add a CI workflow that builds and runs the test suite on every push/PR.
+17.8 pts · Medium effort · CI/CD gates
3
Your ecosystem's static analyzer is declared as a dependency but is not wired into CI — run it as a required step on push/PR (e.g. `composer phpstan` / `mix sobelow` / `bundle exec brakeman` / the spotbugs Gradle task / `sbt scalafixAll --check` / `golangci-lint run` / `rebar3 lint`) so a regression fails the build instead of relying on someone running it locally.
+17.8 pts · Medium effort · Security & performance tooling

Diagnosis — what's actually going on

Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Add a CI workflow that builds and runs the test suite on every push/PR. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Add a CI workflow that builds and runs the test suite on every push/PR.

Architecture — module dependency matrix

23 modules, 1 dependency — every dependency points down the layering, so there are no cycles. 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 — an unusual but cycle-free dependency sits below the diagonal like any other.)

…rib.inventory_builder…ory_builder.inventory….tests.test_inventory…rgo.contrib.terraform…es.bootstrap-os.files…etes-apps.kpm.library…omation.kargo.library…on.kargo.library.kube…es.bootstrap-os.files…etes-apps.kpm.library…ntegration.tests.core…tion.tests.core.beans…tests.core.exceptions…ion.tests.core.utills….execution.throughput…hput.util.filewriting…g.wso2.si.http.server…i.sample.kafka.client…sample.kafka.consumerorg.wso2.sp.tcp.client…tests.eventscollector…tscollector.exception…on.tests.core.commons…rib.inventory_builder1…ory_builder.inventory2….tests.test_inventory3…rgo.contrib.terraform4…es.bootstrap-os.files5…etes-apps.kpm.library6…omation.kargo.library7…on.kargo.library.kube8…es.bootstrap-os.files9…etes-apps.kpm.library10…ntegration.tests.core11…tion.tests.core.beans12…tests.core.exceptions13…ion.tests.core.utills14….execution.throughput15…hput.util.filewriting16…g.wso2.si.http.server17…i.sample.kafka.client18…sample.kafka.consumer19org.wso2.sp.tcp.client20…tests.eventscollector21…tscollector.exception22…on.tests.core.commons232

At a glance — Code Health · 94% · Exemplary

At a glance — Architecture · 100% · Exemplary

At a glance — Maturity · 47% · Weak · gated by D34, M2

At a glance — Readiness · 31% · Weak · gated by P1, P3

At a glance — Security · 71% · Strong

Security & Compliance — 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 — Security Misconfiguration27High / Critical
A03:2021 — Injection3Medium
A02:2021 — Cryptographic Failures1High / Critical

Roadmap

Establish a continuous integration workflow that builds and tests every change to ensure immediate feedback. Integrate static analysis and security scanning directly into the build pipeline to fail on regressions rather than relying on local checks. Document disaster recovery procedures and restore processes to ensure data resilience. Finally, resolve the identified secret leak and maintain a changelog to track release history.

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

Do thisHelpsEffortDimension
Resolve the 1 Leaked secret finding(s) in Secret Scanning — start with deployment.yaml.+15.4 ptsLowSecret Scanning
Add a CI workflow that builds and runs the test suite on every push/PR.+17.8 ptsMediumCI/CD gates
Your ecosystem's static analyzer is declared as a dependency but is not wired into CI — run it as a required step on push/PR (e.g. `composer phpstan` / `mix sobelow` / `bundle exec brakeman` / the spotbugs Gradle task / `sbt scalafixAll --check` / `golangci-lint run` / `rebar3 lint`) so a regression fails the build instead of relying on someone running it locally.+17.8 ptsMediumSecurity & performance tooling
Document RTO/RPO and a tested restore procedure (a backup config alone isn't disaster recovery).+16.8 ptsMediumDR & Backup
Keep a changelog (e.g. Keep-a-Changelog) recording what shipped in each release.+15.4 ptsMediumRelease Hygiene
Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness.+6.4 ptsLowKnowledge Freshness
Resolve the 1 Orphaned knowledge finding(s) in Knowledge Freshness — start with CalculatePerformanceStreamProcessorExtension.java.+6.4 ptsLowKnowledge Freshness
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — 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).+10.0 ptsMediumArchitecture documentation

File quality

Per-file score 0–10 — a quality signature. Of 11 files carrying findings, judged against the Production bar: 18% slop · 73% mixed · 9% near-clean.

FileScoreBandWorst signal
modules/kubenetes/00-prereqs.yaml1.0SlopIaC & Container Security: Critical IaC: KSV-0045
modules/kubenetes/01-siddhi-operator.yaml1.7SlopIaC & Container Security: High IaC: KSV-0014
modules/distribution/carbon-home/resources/dockerfiles/Dockerfile6.3MixedIaC & Container Security: Medium IaC: DS-0001
modules/distribution/carbon-home/conf/server/deployment.yaml7.2MixedSecret Scanning: Leaked secret: hardcoded-credential
modules/distribution/src/docker-distribution/filtered/Dockerfile7.2MixedIaC & Container Security: Medium IaC: CKV_DOCKER_2
modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java7.4MixedCognitive Complexity: CalculatePerformanceStreamProcessorExtension.init (cognitive 30)
modules/samples/sample-clients/kafka-producer/src/main/java/org/wso2/si/sample/kafka/client/KafkaClient.java7.8MixedCyclomatic Complexity: KafkaClient.main (cyclomatic 25)
modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/BothFileWriting.java7.8MixedCode Duplication: Duplicated block (10 lines × 2)
modules/samples/artifacts/PublishEventsToGooglCloudStorage/GCSSinkSample.siddhi7.9MixedStatic Analysis (SAST): Medium: detected-username-and-password-in-uri
modules/samples/sample-clients/http-server/src/main/java/org/wso2/si/http/server/HttpsServerListnerHandler.java7.9MixedStatic Analysis (SAST): Medium: weak-ssl-context
modules/samples/sample-clients/kafka-producer/src/main/java/org/wso2/si/sample/kafka/client/EventSendingUtil.java8.5Near-cleanCognitive Complexity: EventSendingUtil.publishEvents (cognitive 27)

Methodology & how to trust this report

Watchdog is a deep, periodic assessment — 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. 24 of 25 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 1 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.6 — 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: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — 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): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — 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 — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.

What we checked — 25 dimensions across the health lenses
D1D2D3D4D13D15D21D28D29D31D34D35D38D40D41D42M1M2M3M4P1P3P4P5P6

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

How to trust any code-health report — three questions
  1. Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 40 of 52 do; the remainder are repo-wide signals — 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 — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
  3. Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — 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) — re-run on the same commit for the identical score.

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

Every finding is locatable in findings.md. Run 019fcf38-9786-7f00-b36b-227f18a49118.

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

Run transparency — what happened this run

What ran differently this time — 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.

  • D19 Documentation Quality — LLM provider failed — The model provider returned an unusable result, so this LLM-assisted dimension fell back to a measurement gap (confidence 0) rather than a penalty. Re-run with a reachable provider to score it.
  • D30 Dependency Vulnerabilities — scanner not present in this environment — 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 — 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 — 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 — the honest edge of the measurement, not a failure of it.

  • D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
  • D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
  • D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
  • D4 Code Duplication: Duplication is token-similarity (jscpd) — 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 — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
  • D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — 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 — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
  • D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — 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 — 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) — 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 — 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 — 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 — 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 — 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 — 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.
  • D42 Runtime Threat Enforcement: Runtime enforcement is read from committed policy files — a Tetragon/Falco/Kyverno stack installed cluster-wide (Helm release, platform add-on) with no in-repo trace can't be credited, and a committed policy is declared intent, not proof the engine is running and blocking in the live cluster.
  • M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — 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 — 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 — 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) — controls configured in external tooling, with no in-repo trace, cannot be credited.

The LLM boundary

LLM-set scores this run (2): 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) — 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

D1 · Cyclomatic Complexity9.4 / 10Exemplary✓ Tool-verified

What it measures: How tangled the control flow is — methods with many branches are hard to test and change.

Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 9.4 / 10 · rule-coverage 100% · ceiling Prevented

1 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was KafkaClient.main at 25.

KafkaClient.main (cyclomatic 25)modules/samples/sample-clients/kafka-producer/src/main/java/org/wso2/si/sample/kafka/client/KafkaClient.java:45

✓ On the Gold path — maintain.

Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.

D2 · Cognitive Complexity9.0 / 10Exemplary✓ Tool-verified

What it measures: How hard the code is for a person to follow, beyond raw branching.

Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 9.0 / 10 · rule-coverage 100% · ceiling Prevented

3 method(s) exceeded the cognitive complexity threshold of 15; the worst was CalculatePerformanceStreamProcessorExtension.init at 30.

CalculatePerformanceStreamProcessorExtension.init (cognitive 30)modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:245
KafkaClient.main (cognitive 30)modules/samples/sample-clients/kafka-producer/src/main/java/org/wso2/si/sample/kafka/client/KafkaClient.java:45
EventSendingUtil.publishEvents (cognitive 27)modules/samples/sample-clients/kafka-producer/src/main/java/org/wso2/si/sample/kafka/client/EventSendingUtil.java:37

✓ On the Gold path — maintain.

Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.

D3 · God Classes10.0 / 10Exemplary✓ Tool-verified

What it measures: Over-large classes that try to do too much ("god classes").

Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

0 god class(es) detected.

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.md.

D4 · Code Duplication9.4 / 10Exemplary✓ 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: DocumentedVerifiedPrevented · effective 9.4 / 10 · rule-coverage 100% · ceiling Verified

4 duplicated block group(s) detected.

Duplicated block (10 lines × 2) · ×2modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/BothFileWriting.java:72
Duplicated block (14 lines × 2)modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:452
Duplicated block (7 lines × 2)modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/BothFileWriting.java:63

✓ On the Gold path — maintain.

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

D13 · Secret Scanning5.0 / 10Adequate✓ Tool-verified

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: DocumentedVerifiedPrevented · effective 5.0 / 10 · rule-coverage 100% · ceiling Prevented

1 secret(s) detected.

Leaked secret: hardcoded-credentialmodules/distribution/carbon-home/conf/server/deployment.yaml:355

What to do

  1. Resolve the 1 Leaked secret finding(s) in Secret Scanning — start with deployment.yaml. — One of this dimension's main actionable groups (1 issue-level).
  2. Stand up a CI pipeline, then gate Secret Scanning in it to reach Verified (currently Documented). — This repository has no CI pipeline, so there is nothing to add a gate to yet — the pipeline comes first. Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d13_recommendation.md · top locations in Appendix A, every location in findings.md.

D15 · Churn × Complexity Hotspots10.0 / 10Exemplary✓ Tool-verified

What it measures: Files that change often and are also complex — 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: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No churn × complexity hotspots in the window.

✓ On the Gold path — maintain.

Detailed fixes: d15_recommendation.md.

D21 · Naming Consistency / 10Exemplary◐ Sampled · advisory

What it measures: Whether names — types, methods, variables — 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: DocumentedVerifiedPrevented · effective Exemplary / 10 · rule-coverage 100% · ceiling Verified

0 naming inconsistencies across 0 sampled symbols.

✓ On the Gold path — maintain.

Detailed fixes: d21_recommendation.md.

D28 · Secrets (history)8.0 / 10Strong✓ Tool-verified

What it measures: Whether any secrets were ever committed — 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: DocumentedVerifiedPrevented · effective 8.0 / 10 · rule-coverage 100% · ceiling Documented

2 finding(s): 0 critical, 2 high, 0 medium, 0 low. Remediation for historically-committed secrets is credential rotation — they remain in history regardless of later deletion.

What to do

  1. Improve Secrets (history) — currently 8.0/10. — 2 finding(s): 0 critical, 2 high, 0 medium, 0 low. Remediation for historically-committed secrets is credential rotation — they remain in history regardless of later deletion.

Detailed fixes: d28_recommendation.md.

D29 · Static Analysis (SAST)8.6 / 10Strong✓ Tool-verified

What it measures: Real static-analysis (SAST) findings — 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 — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).

Maturity: DocumentedVerifiedPrevented · effective 8.6 / 10 · rule-coverage 100% · ceiling Documented

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

Medium: allow-privilege-escalation-no-securitycontext · ×3modules/kubenetes/01-siddhi-operator.yaml:32detected by semgrep finding

What to do

  1. Resolve the 3 Medium finding(s) in Static Analysis (SAST) — start with 01-siddhi-operator.yaml, GCSSinkSample.siddhi, HttpsServerListnerHandler.java. — One of this dimension's main actionable groups (3 warning-level).

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

D31 · IaC & Container Security5.1 / 10Adequate✓ 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: DocumentedVerifiedPrevented · effective 5.1 / 10 · rule-coverage 100% · ceiling Documented

30 finding(s): 3 critical, 3 high, 17 medium, 7 low.

Critical IaC: KSV-0045 · ×2modules/kubenetes/00-prereqs.yamldetected by trivy finding
High IaC: KSV-0056 · ×2modules/kubenetes/00-prereqs.yamldetected by trivy finding
Medium IaC: DS-0001 · ×16modules/distribution/carbon-home/resources/dockerfiles/Dockerfiledetected by trivy finding
Low IaC: DS-0026 · ×7modules/distribution/src/docker-distribution/filtered/Dockerfiledetected by trivy finding

What to do

  1. Resolve the 16 Medium IaC finding(s) in IaC & Container Security — start with 00-prereqs.yaml (6), 01-siddhi-operator.yaml (6), Dockerfile (4). — One of this dimension's main actionable groups (16 warning-level).
  2. Resolve the 2 Critical IaC finding(s) in IaC & Container Security — start with 00-prereqs.yaml (2). — One of this dimension's main actionable groups (2 issue-level).
  3. Resolve the 2 High IaC finding(s) in IaC & Container Security — start with 00-prereqs.yaml, 01-siddhi-operator.yaml. — One of this dimension's main actionable groups (2 issue-level).

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

D34 · Knowledge Freshness0.0 / 10Critical✓ Tool-verified

What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — 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: DocumentedVerifiedPrevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

5 of 5 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java.

Orphaned knowledgemodules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java
Further orphaned files (smaller)

What to do

  1. Resolve the 1 Orphaned knowledge finding(s) in Knowledge Freshness — start with CalculatePerformanceStreamProcessorExtension.java. — One of this dimension's main actionable groups (1 issue-level).
  2. Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).

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

D35 · Change Coupling10.0 / 10Exemplary✓ Tool-verified

What it measures: Whether files that change together actually belong together — 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 — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.

Coverage: Population: PRODUCTION source files only — 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: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No strong hidden change-coupling between production files.

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md.

D38 · OSV Dependency Vulnerabilities10.0 / 10Exemplary○ Nothing flagged

What it measures: Whether dependencies have known published vulnerabilities (CVEs) per the OSV database — read natively from whatever lockfile the repository ships (Cargo, npm, Go, Python, Maven, RubyGems, …). D33 and D30 add ecosystem-specific scanners on top for npm and .NET.

Method: Multi-ecosystem dependency-CVE scan via osv-scanner --recursive (queries the osv.dev database + parses lockfiles natively across ecosystems: npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven/Gradle pom.xml/gradle.lockfile, PyPI requirements.txt/poetry.lock/Pipfile.lock, Composer composer.lock, RubyGems Gemfile.lock, Hex mix.lock, pub pubspec.lock, Swift Package.resolved); severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer (8.0). NotApplicable only when the repo declares no supported non-.NET dependency lockfile (a NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain); coverage needs a resolved lockfile. Additive to D33 (trivy fs); exhaustive + deterministic, DB kept fresh.

Maturity: DocumentedVerifiedPrevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No known-vulnerable dependencies (OSV).

✓ On the Gold path — maintain.

Detailed fixes: d38_recommendation.md.

D40 · Network Egress Confinement6.0 / 10Adequate✓ 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 — 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 — baseline misconfigs stay with D31). Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 6.0 / 10 · rule-coverage 100% · 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. — One of this dimension's main actionable groups (1 recommendation-level).

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

D41 · Kernel & Syscall Confinement6.0 / 10Adequate✓ Tool-verified

What it measures: Whether Kubernetes workloads confine the kernel boundary — a seccomp profile (RuntimeDefault/Localhost) plus an AppArmor/SELinux mandatory-access-control layer — 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: DocumentedVerifiedPrevented · effective 6.0 / 10 · rule-coverage 100% · 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. — 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. — One of this dimension's main actionable groups (1 recommendation-level).

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

D42 · Runtime Threat Enforcement6.0 / 10Adequate✓ Tool-verified

What it measures: Whether the Kubernetes deployment wires runtime threat enforcement — a detection engine (Tetragon/Falco) and/or an admission-control policy gate (Kyverno / OPA Gatekeeper / PodSecurity). Presence of committed policy, not a runtime guarantee.

Method: Deterministic YAML-manifest inspection (no external tool, no Roslyn): on Kubernetes workloads, credits a runtime threat-detection engine (Tetragon TracingPolicy / Falco) and an admission-control policy (Kyverno / OPA Gatekeeper / PodSecurity). Reward-leaning; NotApplicable without workloads. Deterministic.

Maturity: DocumentedVerifiedPrevented · effective 6.0 / 10 · rule-coverage 100% · ceiling Documented

0/2 runtime-enforcement controls present (threat detection, admission control).

No runtime threat detection
No admission-control policy

What to do

  1. Resolve the 1 No runtime threat detection finding(s) in Runtime Threat Enforcement. — One of this dimension's main actionable groups (1 recommendation-level).
  2. Resolve the 1 No admission-control policy finding(s) in Runtime Threat Enforcement. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d42_recommendation.md · top locations in Appendix A, every location in findings.md.

Frontend & cross-cutting dimensions

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

M1 · Documentation (README)7.3 / 10Strong✓ Tool-verified

Maturity · Maturity — 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.

What to do

  • Add a 'Testing' section to the root README — how to run the test suite.
  • Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
  • Add a README to the 8 of 12 project(s) that lack one — worth up to 1.3 pts.
M2 · Architecture documentation0.0 / 10Critical✓ Tool-verified

Maturity · Maturity — 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 — 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 — the high-level shape isn't documented.

What to do

  • Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — 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 · Folder & project structure10.0 / 10Exemplary✓ Tool-verified

Maturity · Maturity — Whether the repo is organised deliberately — 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 · Documentation accuracy8.0 / 10Strong◐ Sampled · advisory

Maturity · Maturity — 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 microservices architecture, but the repo is a single project with no service manifests

What to do

  • Reconcile the README with reality: README advertises a microservices architecture, but the repo is a single project with no service manifests.
P1 · CI/CD gates0.0 / 10Critical✓ Tool-verified

Readiness · Readiness — 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.

  • No CI workflow found (.github/workflows, azure-pipelines.yml, .gitlab-ci.yml, …) — changes aren't gated by an automated build/test.

What to do

  • Add a CI workflow that builds and runs the test suite on every push/PR.
P3 · Security & performance tooling3.0 / 10Weak✓ Tool-verified

Readiness · Readiness — 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 — in this repository's own ecosystem. Exhaustive, deterministic.

What to do

  • Your ecosystem's static analyzer is declared as a dependency but is not wired into CI — run it as a required step on push/PR (e.g. `composer phpstan` / `mix sobelow` / `bundle exec brakeman` / the spotbugs Gradle task / `sbt scalafixAll --check` / `golangci-lint run` / `rebar3 lint`) so a regression fails the build instead of relying on someone running it locally.
  • Enable Dependabot/Renovate or a dependency-review gate.
  • Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
P4 · Deployment & Rollback8.0 / 10Strong✓ Tool-verified

Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — 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.

What to do

  • Add an approval/environment gate (required reviewers / protection rules) before production promotion.
P5 · DR & Backup4.0 / 10Weak✓ Tool-verified

Readiness · Readiness — Whether disaster recovery is planned and codified — backups, geo-recovery, RTO/RPO, persistence guarantees — 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.

What to do

  • Document RTO/RPO and a tested restore procedure (a backup config alone isn't disaster recovery).
  • Enable purge protection / soft-delete (and prevent_destroy on critical resources) so data stores can't be lost to an accidental or malicious delete.
P6 · Release Hygiene5.0 / 10Adequate✓ Tool-verified

Readiness · Readiness — Whether releases are traceable — 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 — 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.

Reference — 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.
Maturity47%Weak — gated by D34, M2Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Readiness31%Weak — gated by P1, P3Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Security71%StrongSolid.
Not included — 69 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 — No web markup found — accessibility is not applicable to this repository.
  • AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
  • AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
  • AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
  • AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
  • AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
  • AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
  • AX1 Captive dependencies — no DI registrations detected
  • AX10 Code composition — not assessed — 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 — no singleton implementations detected
  • AX3 Project dependency cycles — not assessed — 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 — not assessed — 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
  • AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) 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 — not assessed — 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 — not applicable — not a vertical-slice architecture
  • AX8 Test isolation — not assessed — 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 — no CQRS query handlers detected — query purity is not applicable to this codebase
  • AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
  • C1 Data Protection — 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 — 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 — 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 — 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 — 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 — 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 — 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 — 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 — 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 — 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.
  • D10 Test Quality — ~45073 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 — this is a gap in the analyzer, not a finding about this repository.
  • D11 Test Reliability — Test reliability not included
  • D12 Dependency Hygiene — Dependency hygiene not measured — dependency manifest found but not parsed for hygiene
  • D14 License Compliance — Not scored — 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 — so this dimension asserts nothing about this repository's licensing in either direction.
  • D16 Bus Factor — dormant codebase — no living knowledge left to concentrate
  • D17 Explicit Debt — explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language — this asserts nothing about how many markers the code carries. Not scored — this is a gap in the analyzer, not a finding about this repository
  • D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
  • D19 Documentation Quality — LLM evaluation failed
  • D20 ADR Quality — N/A — ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
  • D22 Internal API Consistency — No exposed public API
  • D23 Boundary Type-Coupling — 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 — this is a gap in the analyzer, not a verdict about this repository. Declaring the codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed — 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 — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
  • D24 Comment Value — No inline comments to assess — comment value is not applicable here.
  • D25 ADR Conformance — no ADRs to check
  • D26 Project Cohesion — 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 — this is a gap in the analyzer's reach, not a verdict about this repository.
  • D27 Navigability — No calls could be sampled, so navigability was not assessed — tracing effort is measured over resolved call sites and this target exposed none. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
  • D30 Dependency Vulnerabilities — Not scored — 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 — not scanned yet) — where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
  • D32 Data Compliance (PII/GDPR) — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
  • D33 JS/npm Dependency Vulnerabilities — 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 — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, Jenkinsfile, .circleci); there is no build to attest provenance for.
  • D37 Vulnerability-disclosure Policy — 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.
  • D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
  • D5 Coupling — Inter-project coupling could not be assessed — 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) — Cohesion (LCOM4) is measured over a C#/VB class graph, and this repository's production source is .java, which this pass does not read — so no class could be assessed. Not scored — this is a gap in the analyzer, not a finding about this repository.
  • D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — 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 — Coverage not included — suite not readable by the collector
  • D9 Test Distribution — 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 — this is a gap in the analyzer, not a finding about this repository.
  • DM1 Domain Modelling — not scored — this repository shows none of the 3 signals this check looks for
  • ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check looks for
  • ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
  • ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this check looks for
  • GD1 Unfinished & placeholder code — no source files
  • IC1 Incompleteness & stubs — not analysed — 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 — no CI workflow found
  • P2 Observability — Observability was not assessed: this check reads a source model that does not carry this repository's product — 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 — not measured — the application kind could not be determined for this repo
  • P8 Schema migrations — not assessed — 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 — no coverage report found on disk — produce a coverage report in a standard format (JaCoCo XML — `mvn jacoco:report`) into the repo working tree before the scan — 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 — 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 — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • PF2 Allocation hygiene — 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 — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • PF3 Async & latency hygiene — 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 — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
  • S1 Web-Security Posture — 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 — 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 — not analysed — 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 — not analysed — 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 — not analysed — 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 — not analysed — 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 — not analysed — 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 — 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 — 6 finding(s)
D31 · IaC & Container Security · Critical IaC · ×2
  • Critical IaC: KSV-0045 modules/kubenetes/00-prereqs.yaml — No wildcard verb roles
  • Critical IaC: KSV-0112 modules/kubenetes/00-prereqs.yaml — Manage all resources at the namespace
D31 · IaC & Container Security · High IaC · ×2
  • High IaC: KSV-0056 modules/kubenetes/00-prereqs.yaml — Manage Kubernetes networking
  • High IaC: KSV-0014 modules/kubenetes/01-siddhi-operator.yaml — Root file system is not read-only
D13 · Secret Scanning · Leaked secret · ×1
  • Leaked secret: hardcoded-credential modules/distribution/carbon-home/conf/server/deployment.yaml:355 — hardcoded-credential detected. Treat the value as compromised: it is readable by everyone who has ever had the repository, and deleting the line does not un-publish it. In order — (1) REVOKE it at whatever issued it and issue a replacement, which is the only step that actually closes the exposure; (2) load the replacement at run time from your platform's secret store or the process environment instead of from the tree, so no future value is committable; (3) remove the file or line and add its path to the repository's ignore rules, so it cannot come back; (4) if the value was ever live, purge it from the history as well, since a clone taken before the deletion still carries it. If this is instead a FIXTURE — key material generated for tests and valid nowhere — then the exposure is nil and the fix is to make that legible: generate it in test setup, or keep it under a test-data path, so a reader (and this scan) can tell it from the real thing.
D34 · Knowledge Freshness · Orphaned knowledge · ×1
  • Orphaned knowledge modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java — No living knowledge remains for this large file — its last meaningful change has decayed away; if it breaks, no one currently understands it. Schedule a read-through / add characterisation tests before it bites.
Warning — 29 finding(s)
D31 · IaC & Container Security · Medium IaC · ×16
  • Medium IaC: DS-0001 modules/distribution/carbon-home/resources/dockerfiles/Dockerfile — ':latest' tag used A `:latest` base pins nothing: the stage rebuilds against whatever that tag points at on the day, so the same commit produces different images and a change you did not make arrives without a diff. The step: pin the base to a concrete release and, where the registry offers one, its digest — `FROM alpine:3.21@sha256:…` — then bump it deliberately, which is a review a bot can raise. A build stage that only compiles is worth pinning for the same reason: it decides what ends up in the layers you ship.
  • Medium IaC: KSV-0048 modules/kubenetes/00-prereqs.yaml — Manage Kubernetes workloads and pods
  • Medium IaC: KSV-0049 modules/kubenetes/00-prereqs.yaml — Manage configmaps
  • Medium IaC: KSV-0113 modules/kubenetes/00-prereqs.yaml — Manage namespace secrets
  • Medium IaC: KSV-0001 modules/kubenetes/01-siddhi-operator.yaml — Can elevate its own privileges
  • Medium IaC: KSV-0012 modules/kubenetes/01-siddhi-operator.yaml — 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 modules/kubenetes/01-siddhi-operator.yaml — Seccomp policies disabled One securityContext edit clears this facet's near-duplicate rules together: KSV-0030, KSV-0104.
  • Medium IaC: KSV-0125 modules/kubenetes/01-siddhi-operator.yaml — Restrict container images to trusted registries
  • Medium IaC: CKV_K8S_21 modules/kubenetes/01-siddhi-operator.yaml:3 — The default namespace should not be used
  • Medium IaC: CKV_K8S_37 modules/kubenetes/01-siddhi-operator.yaml:16 — Minimize the admission of containers with capabilities assigned
  • Medium IaC: CKV_K8S_21 modules/kubenetes/00-prereqs.yaml:57 — The default namespace should not be used
  • Medium IaC: CKV_K8S_21 modules/kubenetes/00-prereqs.yaml:64 — The default namespace should not be used
  • Medium IaC: CKV_K8S_21 modules/kubenetes/00-prereqs.yaml:139 — The default namespace should not be used
  • Medium IaC: CKV_DOCKER_2 modules/distribution/src/docker-distribution/filtered/Dockerfile:1 — Ensure that HEALTHCHECK instructions have been added to container images
  • Medium IaC: CKV_DOCKER_7 modules/distribution/carbon-home/resources/dockerfiles/Dockerfile:21 — Ensure the base image uses a non latest version tag
  • Medium IaC: CKV_DOCKER_3 modules/distribution/carbon-home/resources/dockerfiles/Dockerfile:1 — Ensure that a user for the container has been created
D29 · Static Analysis (SAST) · Medium · ×3
  • Medium: allow-privilege-escalation-no-securitycontext modules/kubenetes/01-siddhi-operator.yaml:32 — 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: detected-username-and-password-in-uri modules/samples/artifacts/PublishEventsToGooglCloudStorage/GCSSinkSample.siddhi:26 — Username and password in URI detected
  • Medium: weak-ssl-context modules/samples/sample-clients/http-server/src/main/java/org/wso2/si/http/server/HttpsServerListnerHandler.java:67 — An insecure SSL context was detected. TLS versions 1.0, 1.1, and all SSL versions are considered weak encryption and are deprecated. Use SSLContext.getInstance("TLSv1.2") for the best security. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
D4 · Code Duplication · Duplicated block (10 lines × 2) · ×2
  • Duplicated block (10 lines × 2) modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/BothFileWriting.java:72 — modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/BothFileWriting.java:72-81 | modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/LatencyFileWriting.java:63-72 — 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. Read the line range as the matched WINDOW rather than a finished unit: at `modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/BothFileWriting.java:72` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
  • Duplicated block (10 lines × 2) modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:150 — modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:150-159 | modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:215-225 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
D1 · Cyclomatic Complexity · KafkaClient.main (cyclomatic 25) · ×1
  • KafkaClient.main (cyclomatic 25) modules/samples/sample-clients/kafka-producer/src/main/java/org/wso2/si/sample/kafka/client/KafkaClient.java:45 — KafkaClient.main has cyclomatic complexity 25 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
D16 · Bus Factor · dormant codebase · ×1
  • dormant codebase — no living knowledge left to concentrate — All 5 significant source file(s) were last meaningfully changed so long ago that no living knowledge remains — nothing since has been substantial enough to re-establish ownership (a broad, mechanical sweep that touches many files shallowly does not count, and neither does no activity at all). There is no concentration to measure, so the bus factor is not scored. This is not a clean bill: nobody currently holds working knowledge of this code (see D34 Knowledge Freshness).
D19 · Documentation Quality · LLM evaluation failed · ×1
  • LLM evaluation failed — JSON parse error: Expected end of string, but instead reached end of data. Path: $.findings[1].suggestion | LineNumber: 0 | BytePositionInLine: 1219.
D2 · Cognitive Complexity · CalculatePerformanceStreamProcessorExtension.init (cognitive 30) · ×1
  • CalculatePerformanceStreamProcessorExtension.init (cognitive 30) modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:245 — CalculatePerformanceStreamProcessorExtension.init has cognitive complexity 30 (threshold 15). Drivers by points: if/else 29, boolean chains 1 (nesting depth added 14). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D2 · Cognitive Complexity · KafkaClient.main (cognitive 30) · ×1
  • KafkaClient.main (cognitive 30) modules/samples/sample-clients/kafka-producer/src/main/java/org/wso2/si/sample/kafka/client/KafkaClient.java:45 — KafkaClient.main has cognitive complexity 30 (threshold 15). Drivers by points: if/else 21, ternaries 7, boolean chains 2 (nesting depth added 3). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.
D2 · Cognitive Complexity · EventSendingUtil.publishEvents (cognitive 27) · ×1
  • EventSendingUtil.publishEvents (cognitive 27) modules/samples/sample-clients/kafka-producer/src/main/java/org/wso2/si/sample/kafka/client/EventSendingUtil.java:37 — EventSendingUtil.publishEvents has cognitive complexity 27 (threshold 15). Drivers by points: if/else 20, loops 4, boolean chains 3 (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
D4 · Code Duplication · Duplicated block (14 lines × 2) · ×1
  • Duplicated block (14 lines × 2) modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:452 — modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:452-465 | modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:533-546 — both copies are in the same file, so extract the block into one function there and call it from each site — 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 `modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/CalculatePerformanceStreamProcessorExtension.java:452` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
D4 · Code Duplication · Duplicated block (7 lines × 2) · ×1
  • Duplicated block (7 lines × 2) modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/BothFileWriting.java:63 — modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/BothFileWriting.java:63-69 | modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/ThroughputFileWriting.java:53-59 — 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. Read the line range as the matched WINDOW rather than a finished unit: at `modules/performance/extension/siddhi-execution-performance/component/src/main/java/org/wso2/extension/siddhi/execution/throughput/util/filewriting/BothFileWriting.java:63` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Recommendation — 15 finding(s)
D31 · IaC & Container Security · Low IaC · ×7
  • Low IaC: DS-0026 modules/distribution/src/docker-distribution/filtered/Dockerfile — No HEALTHCHECK defined Without one the runtime only knows whether the process is alive, not whether it is serving, so a wedged container is restarted by nobody. The step: add a `HEALTHCHECK` to the image that probes the service the way a client would — this image already declares `EXPOSE 7443`, so a request to `localhost:7443` on the service's own health or root route, exiting non-zero when it does not answer, is the probe — and give it an `--interval`, a `--timeout` and a `--start-period` long enough to cover startup. If the image ships no HTTP client, probe with whatever the runtime already has, or declare the check in the orchestrator instead and say so here.
  • Low IaC: KSV-0003 modules/kubenetes/01-siddhi-operator.yaml — 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 modules/kubenetes/01-siddhi-operator.yaml — CPU not limited
  • Low IaC: KSV-0015 modules/kubenetes/01-siddhi-operator.yaml — CPU requests not specified
  • Low IaC: KSV-0016 modules/kubenetes/01-siddhi-operator.yaml — Memory requests not specified
  • Low IaC: KSV-0018 modules/kubenetes/01-siddhi-operator.yaml — Memory not limited
  • Low IaC: KSV-0110 modules/kubenetes/01-siddhi-operator.yaml — Workloads in the default namespace
D11 · Test Reliability · Test reliability not included · ×1
  • Test reliability not included — 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 — this is a gap in the analyzer's language coverage, not a finding about this repository.
D34 · Knowledge Freshness · Further orphaned files (smaller) · ×1
  • Further orphaned files (smaller) — 4 smaller file(s) also have no living knowledge — folded into the freshness score and metrics rather than listed individually (5 orphaned of 5 analysed files in total, counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first).
D40 · Network Egress Confinement · No network policy · ×1
  • No network policy — 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 · Kernel & Syscall Confinement · No seccomp profile · ×1
  • No seccomp profile — 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 · Kernel & Syscall Confinement · No AppArmor/SELinux confinement · ×1
  • No AppArmor/SELinux confinement — 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.
D42 · Runtime Threat Enforcement · No runtime threat detection · ×1
  • No runtime threat detection — No runtime threat-detection engine (Tetragon TracingPolicy / Falco) is committed. These observe process, file and network activity in-kernel and can alert or kill on malicious behaviour a static scan cannot catch.
D42 · Runtime Threat Enforcement · No admission-control policy · ×1
  • No admission-control policy — No policy-enforcement gate (Kyverno / OPA Gatekeeper / PodSecurity admission) is committed. Admission control keeps workloads that violate your security baseline from ever reaching the cluster.
D8 · Code Coverage · Coverage not included · ×1
  • Coverage not included — suite not readable by the collector — Coverage NOT MEASURED: test source is present (.java) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — 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 — `mvn jacoco:report`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored.
Info — 2 finding(s)
D12 · Dependency Hygiene · Dependency hygiene not measured · ×1
  • Dependency hygiene not measured — dependency manifest found but not parsed for hygiene — 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 — a gap in the analyzer, not a verdict about this repository. This row is about dependency HYGIENE — 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 · Internal API Consistency · No exposed public API · ×1
  • No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.

Appendix B — Reproduction & audit trail

Every external tool invocation behind a deep-scan dimension — 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 — 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 — kept out of this table so the rendered report stays byte-identical across runs of the same commit.

DimensionToolVersionCommandFindingsRaw output
D28 · Secrets (history)gitleaksgitleaks detect --no-banner --report-format json --report-path /dev/stdout --exit-code 0 --source .2artifacts/raw/gitleaks-history.json
D29 · Static Analysis (SAST)semgrepsemgrep --config /opt/semgrep-rules/security-audit.yml --config /opt/semgrep-rules/owasp-top-ten.yml --json --quiet --timeout 0 --metrics off .3artifacts/raw/semgrep.json
D30 · Dependency Vulnerabilitiesnone (no readable dependency manifest)none (no readable dependency manifest): not present in this environment0
D31 · IaC & Container Securitytrivytrivy config --format json --quiet .30artifacts/raw/trivy-config.json
D32 · Data Compliance (PII/GDPR)semgrepsemgrep: not applicable — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.0
D33 · JS/npm Dependency Vulnerabilitiestrivytrivy: not applicable — 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.0
D36 · Supply-chain Provenance & Signingprovenanceprovenance: not applicable — No CI/build pipeline found (.github/.forgejo/.gitea workflows, .gitlab-ci.yml, azure-pipelines*.yml, .pipelines/, .vsts-ci/, Jenkinsfile, .circleci); there is no build to attest provenance for.0
D37 · Vulnerability-disclosure Policydisclosuredisclosure: not applicable — 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.0
D38 · OSV Dependency Vulnerabilitiesosv-scannerosv-scanner --format json --recursive .0artifacts/raw/osv-scanner.json

Run 019fcf38-9786-7f00-b36b-227f18a49118 · 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 — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.

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