Public report — AspNetCore-DDD, published 27 Jun 2026.
Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version;
ask the repo owner for the full report.
29findings with an exact file:lineof 119 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
58/96dimensions across the health lenses3553 LoC · 10 projects — 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.
andox/AspNetCore-DDD carries serious risk (46%). Several issues below can materially affect reliability, security, or the cost of change and warrant near-term attention.
It is strongest in Event-Driven (100%) — its messaging keeps components properly decoupled. Architecture (82%) 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 Security (42%) — exposure to security and compliance incidents is elevated. Readiness (43%) is the next concern — operating, monitoring and recovering the system safely is harder.
How the score is built — each lens's share of the headlineWidth 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.
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.
This codebase represents roughly ~0.1 person-years of build effort (about ~€3,800 to rebuild). Its weakest lens is Security at 42% — the part of that asset most exposed by the findings below.
How we model this: boilerplate at a scaffolding rate + logic × domain High (×1.5) — service/app, CQRS, event-driven integration × a 0.7× quality factor, at €60–95/h; indicative, ±~30%. 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 No ADRs found finding(s) in ADR Quality.
Value concentrated against a weak lens · High · Value at risk
This is a Small asset (~0.1 person-years to rebuild), and its weakest lens is Security at 42%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
→ Direct remediation budget at Security first — highest risk-reduction per euro on an asset this size.
Root cause: tests don't protect the risk · High · Root cause
Coverage is low and what exists is mis-aimed (concentrated on the trivial layer and/or weak on assertions) — the test suite isn't protecting the code that actually carries risk. More of the same tests won't help; the gap is WHERE and HOW you test.
Evidence: D8 coverage: 2.7/10 · P9 domain-vs-controller: inverted to controllers
→ Shift testing onto the domain/decision logic; gate on domain coverage, not overall %.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Strengthen data-at-rest protection: vault your keys (Azure Key Vault / AWS KMS / IDataProtector key ring) and encrypt the most sensitive columns (EF HasConversion encryption or provider-native column encryption) — partial coverage still leaves gaps. The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Strengthen data-at-rest protection: vault your keys (Azure Key Vault / AWS KMS / IDataProtector key ring) and encrypt the most sensitive columns (EF HasConversion encryption or provider-native column encryption) — partial coverage still leaves gaps.
Improving trajectory · Info · Trajectory
The headline is improving steadily (+15.2 pts/run over 3 runs) — whatever you're doing is working; keep the gate.
Evidence: trajectory: +15.2 pts/run over 3 runs
Architecture — module dependency graph
Project dependencies, layered top-to-bottom; arrows show direction. Any dashed red edge points upward or sideways — a layering smell or cycle. A clean layered graph has none.
At a glance — Code Health · 49% · Weak · gated by X3, X5
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 category
Findings
Severity
A06:2021 — Vulnerable & Outdated Components
24
High / Critical
A02:2021 — Cryptographic Failures
5
High / Critical
A05:2021 — Security Misconfiguration
2
High / Critical
Roadmap
Top priorities: Strengthen data-at-rest protection: vault your keys (Azure Key Vault / AWS KMS / IDataProtector key ring) and encrypt the most sensitive columns (EF HasConversion encryption or provider-native column encryption) — partial coverage still leaves gaps; Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them; Make retry-prone mutations idempotent — guard each write with an exists/dedup check, an upsert, an idempotency-key/inbox, or a versioned write, so a re-run doesn't double-apply.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Resolve the 1 No ADRs found finding(s) in ADR Quality.
Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.
Make retry-prone mutations idempotent — guard each write with an exists/dedup check, an upsert, an idempotency-key/inbox, or a versioned write, so a re-run doesn't double-apply.
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. 58 of 58 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); none rely on LLM judgement. Overall confidence is 0.7 — 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 — 58 dimensions across the health lenses
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
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, 29 of 119 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.)
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.
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.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
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.
D32 Data Compliance (PII/GDPR) — 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.
D33 JS/npm 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.
D36 Supply-chain Provenance & Signing — 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.
D37 Vulnerability-disclosure Policy — 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.
D38 OSV 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 (EF migration scaffolds, *.Designer.cs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only; the generated footprint is reported separately under Solution Shape.
D5 Coupling: Coupling is measured between projects/assemblies — runtime coupling through DI, reflection, messaging or shared databases is invisible to a static reference graph.
D6 Cohesion (LCOM4): LCOM4 cohesion is syntactic — it infers connectivity from which methods touch which fields/methods by name, not from real runtime behaviour or intent.
D8 Code Coverage: Coverage is measured by building and running the suite (`dotnet test --collect`) inside Watchdog's isolated image — the target repo is never modified, and nothing on your systems runs. So coverage exists only when the suite builds and runs within the inline time budget; one that needs external services, can't build, or exceeds the budget yields no coverage (D8 then degrades to not-measured, not a low score). Line coverage also says nothing about assertion quality.
D9 Test Distribution: The test-pyramid shape is inferred from project/folder naming and references, with a single test host bucketed per-file by its path tier and content signals — a suite that names tiers unconventionally and gives no per-file signal can still be mis-bucketed.
D10 Test Quality: Assertion density is structural — it cannot tell a meaningful behavioural assertion from a trivial one, only that an assertion is present.
D11 Test Reliability: Flakiness is inferred from history/markers — Watchdog runs the suite once (for coverage), not the repeated runs under varied conditions that reveal nondeterminism, so a flaky test never recorded as failing is invisible here.
D12 Dependency Hygiene: Dependency health reads manifests and lockfiles — a vulnerability in a vendored/copied dependency, or risk from how a dependency is actually used, is outside this view.
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").
D14 License Compliance: License compatibility is checked against declared package metadata and a policy — mislabelled or missing license metadata, and obligations that depend on how you distribute, are not resolved here.
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.
D17 Explicit Debt: Acknowledged-debt signals (TODO/FIXME, suppressions, dead code) are textual — undocumented debt that nobody marked, and debt that lives in design rather than annotations, is invisible. Committed machine-written code (EF migrations, designer files, snapshots) is excluded — it is never the team's dead code to delete.
D18 Solution Shape: Build integrity reflects whether the solution compiled in this environment — a build that needs a private feed, a specific SDK, or a generated file absent from the repo can read as broken when it is merely unreproducible here.
D20 ADR Quality: ADR quality is an LLM read of the decision records present — it cannot know about decisions made and never recorded, and its verdict is sampled and advisory.
D26 Project Cohesion: Project focus is sized from members/namespaces per project — a project that is broad by deliberate design reads the same as one that has sprawled.
D27 Navigability: Indirection/navigability is structural — it measures hops to follow a call, not whether that indirection buys real flexibility or just ceremony.
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").
D30 Dependency Vulnerabilities: CVE matching depends on accurate package/version metadata and the advisory database — a vulnerability with no published advisory, or in code not declared as a dependency, is not seen.
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.
AX10 Code composition: Role is inferred from namespace/folder convention, not semantics — a domain concept living in a folder named "Services" reads as application, and the split is lines-of-code, not business value. The business-logic-share score is a SOFT, FLOORED signal: it contributes to the Architecture lens but is floored at the Critical gate, so an infrastructure-heavy design (a gateway, an ETL, a driver) is legitimately low without being nuked to zero.
ED5 Idempotency: Idempotency is judged from the handler body's visible writes and guards — a guard enforced by a database unique constraint, a broker's exactly-once delivery, or a domain method whose no-op-when-applied logic the scan can't follow may read as at-risk; the at-risk candidates are confirmed by a SAMPLED LLM verdict (advisory, not exhaustive) and degrade to heuristic-only when no model is configured. It flags the at-least-once double-apply SHAPE, not a runtime proof of a duplicate effect.
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".
The LLM boundary
LLM-set scores this run (2): D20, ED5. 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.
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.
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.
0 method(s) exceeded the cognitive complexity threshold of 15.
✓ On the Gold path — maintain.
Detailed fixes: d2_recommendation.md.
Do you agree with this assessment?
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.
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.
Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.
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D5 · Coupling9.2 / 10Exemplary✓ Tool-verified
What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.
Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.
Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type — the population is all types, not a name convention.
What it measures: Whether a class's methods are focused on a single responsibility.
Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.
Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.
Detailed fixes: d6_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D8 · Code Coverage2.7 / 10Weak✓ Tool-verified
What it measures: How much of the code is actually exercised by tests.
Method: Coverage from coverlet runs or committed reports (Cobertura/OpenCover/lcov), computed per-file with structured exclusions for generated, trivial, and glue code. When the suite can't be built/run in-image AND no report is committed, coverage is reported NOT-MEASURED (excluded from the score) with the precondition to make it measurable — never a LoC-ratio proxy folded in as if measured. Deterministic.
Enforce Code Coverage in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d8_recommendation.md.
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D9 · Test Distribution10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.
Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.
2 test methods: 1 unit, 1 integration, 0 BDD, 0 e2e.
Unit tests
Integration tests
BDD tests
E2E tests
✓ On the Gold path — maintain.
Detailed fixes: d9_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D10 · Test Quality10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether the tests truly assert behaviour rather than just running the code.
Method: Per-test assertions, skips, and mock references analyzed via Roslyn; structured skip-reason tags (BUG:/ENV:) separate documented deferrals from debt. Deterministic.
0 skipped, 0 zero-assertion, 2 mock references across 2 tests.
Mock framework: Moq · ×2
✓ On the Gold path — maintain.
Detailed fixes: d10_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D11 · Test Reliability10.0 / 10Exemplary✓ Tool-verified
What it measures: Whether the tests pass reliably, with no flakiness.
Method: Suite re-run N times within tiered wall-clock budgets (unit to e2e); tests failing non-deterministically across runs flagged; guarded tests retried when #if guards detected.
What it measures: Whether dependencies are current, secure, and not bloated.
Method: Manifest scan via dotnet list package across all projects; worst-signal-per-package deduction (saturating for vulnerabilities, capped-linear for deprecation/outdated) per KLoC. Exhaustive, deterministic.
Resolve the 4 Deprecated finding(s) in Dependency Hygiene. — One of this dimension's main actionable groups (4 warning-level).
Resolve the 3 Vulnerable finding(s) in Dependency Hygiene. — One of this dimension's main actionable groups (3 issue-level).
Enforce Dependency Hygiene in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Verified — provenance only; does not change the score.
Detailed fixes: d12_recommendation.md · top locations in Appendix A, every location in findings.md.
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.
What it measures: Whether the licenses of third-party packages are compatible with your policy.
Method: Third-party package licenses resolved from declared package metadata and checked against the configured policy (allow/deny/copyleft). Deterministic; clean = no incompatible license found at metadata depth.
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.
What it measures: Acknowledged debt left in the code — TODOs, dead code, suppressed warnings.
Method: Roslyn syntactic debt markers (suppressions/TODO/FIXME/HACK/empty-catch/commented-code/Obsolete) plus SymbolFinder dead-code analysis; weighted-debt-per-KLoC density deducted 2.0x per unit. Deterministic, exhaustive.
What it measures: Whether the solution is laid out in a sensible, conventional structure.
Method: Solution structure: project count, decomposition, shell-project detection, build success (confirmed failures cap the score); traced to actual .sln files and binaries. Deterministic.
What it measures: Whether architecture decisions are recorded well (context, decision, consequences).
Method: Per-ADR judgment by language model at low temperature with two-pass stability; confidence is share of ADRs evaluated; enforcement-field presence detected deterministically. Advisory.
What it measures: How far you must trace to follow a call — low indirection and co-located slices read easier.
Method: Call indirection (interface hops, cross-namespace calls, slice-locality scaled) over a sampled set of method invocations, size-aware baseline. Sampled; confidence discounted by symbol-resolution gaps.
Coverage: Slice locality from the first namespace segments, SAMPLED (≤400 methods) — not exhaustive.
90 % of calls cross a namespace and 7 % go through an interface, but 100 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: small — navigation cost is tolerated.
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.
4 finding(s): 0 critical, 4 high, 0 medium, 0 low. Remediation for historically-committed secrets is credential rotation — they remain in history regardless of later deletion.
Secret: generic-api-key · ×4src/DDD.Services.Api/appsettings.Development.json:10detected by gitleaks finding
Rotate the exposed credentials — git history can't be un-committed
What to do
Resolve the 4 Secret finding(s) in Secrets (history) — start with appsettings.Development.json (3), Startup.cs. — One of this dimension's main actionable groups (4 issue-level).
Resolve the 1 Rotate the exposed credentials finding(s) in Secrets (history). — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d28_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.
Method: Polyglot static analysis via semgrep --config auto across the repo; severity rules (ERROR/WARNING/INFO) map to a 0-10 wide normalizer. 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).
What it measures: Whether any dependencies have known published vulnerabilities (CVEs), direct or transitive.
Method: NuGet CVE scan via dotnet list package --vulnerable including transitive; severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer. Exhaustive, deterministic; degrades when absent.
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.
1 of 1 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is Src/DDD.Services.Api/Startup.cs.
Orphaned knowledgeSrc/DDD.Services.Api/Startup.cs
What to do
Resolve the 1 Orphaned knowledge finding(s) in Knowledge Freshness — start with Startup.cs. — One of this dimension's main actionable groups (1 warning-level).
Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.
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.
No strong hidden change-coupling between production files.
✓ On the Gold path — maintain.
Detailed fixes: d35_recommendation.md.
Do you agree with this assessment?
D39 · IL Efficiency9.9 / 10Exemplary✓ Tool-verified
Method: IL instruction count per method, read from the BUILT first-party assemblies via Mono.Cecil (the target is compiled on a deep run); scored on the fraction of methods whose emitted IL body exceeds the size threshold. Sees compiler-generated bloat source can't; not-applicable when the target fails to build. Deterministic.
Other · Architecture — Whether any singleton service captures a scoped/transient dependency — a silent lifetime/threading bug.
Method: Roslyn scan: DI registrations parsed from AddSingleton/Scoped/Transient; each singleton checked for captured shorter-lifetime dependencies. Exhaustive, deterministic.
Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified.
Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.
Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.
Other · Architecture — Whether singleton services avoid mutable shared instance state that concurrent callers would race on.
Method: Roslyn scan: singleton field mutations unguarded by lock or Interlocked, per type; syntax-based guard detection. Deterministic, traceable per field.
Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).
Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.
Other · Architecture — 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.
Other · Architecture — Whether interfaces stay focused rather than fat — the Interface-Segregation principle (SOLID 'I').
Method: Roslyn scan: public interface member counts; fat-interface threshold (over 15 members) flagged per type. Deterministic, type-level.
`ISpecification` declares 18 members. A wide interface forces every implementer and caller to depend on methods they don't use (the Interface-Segregation 'I' in SOLID). Split it into focused role-interfaces. — ISpecification.cs:7
What to do
Split fat interfaces into focused role-interfaces so clients depend only on what they use.
Do you agree with this assessment?
AX8 · Test isolation10.0 / 10Exemplary✓ Tool-verified
Other · Architecture — Whether production projects stay free of references to test projects — tests may depend on production, never the reverse.
Method: Csproj graph: each production project checked for references to test projects (identified by test-framework presence, not name). Zero violations is clean. Deterministic.
Do you agree with this assessment?
C1 · Data Protection1.0 / 10Critical✓ Tool-verified
Other · Security — Whether sensitive data is encrypted at rest and in transit and keys are vaulted.
Method: Roslyn plus filesystem scan: encryption presence (EF ColumnEncryption, key-vault references, HTTPS enforcement) and key-derivation KDF detection. Deterministic.
What to do
Strengthen data-at-rest protection: vault your keys (Azure Key Vault / AWS KMS / IDataProtector key ring) and encrypt the most sensitive columns (EF HasConversion encryption or provider-native column encryption) — partial coverage still leaves gaps.
Enforce HTTPS (UseHttpsRedirection / RequireHttpsMetadata) so data in transit is always encrypted.
Do you agree with this assessment?
C2 · Access Controls8.0 / 10Strong✓ Tool-verified
Other · Security — Whether access is authorized by default — [Authorize]/policies or imperative guard methods (throw-on-violation) called from handlers.
Method: Roslyn scan: [Authorize] usage and authorization policies, plus imperative throw-on-violation guard methods detected via syntax. Deterministic.
[AllowAnonymous] (7) outweighs [Authorize] (5) — review whether the open surface is intended.
What to do
Review the [AllowAnonymous] surface — keep anonymous endpoints deliberate and documented so the open surface stays intentional.
Other · Event-Driven — Whether event handlers stay asynchronous (no blocking remote HTTP/gRPC calls awaited inside a handler).
Method: Roslyn semantic scan (event-driven gated): event-handler bodies scanned for HTTP/gRPC invocations by resolved symbol type, not substring. Deterministic, semantic-resolved.
Other · Event-Driven — Whether commands have a single handler (one owner of the decision) and fan-out is modelled with events.
Method: Roslyn scan (event-driven gated): command-shaped messages identified by convention; handler count per command checked for the exactly-one rule. Deterministic, hard fact.
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ED3 · Event naming8.0 / 10Strong✓ Tool-verified
Other · Event-Driven — Whether events are named in the past tense (a clarity nudge — low weight).
Method: Roslyn scan (event-driven gated): domain and integration events checked for past-tense naming (-ed/-en suffix or irregular set). Naming nudge, low-weight advisory.
`Event` reads as an instruction, not a fact that happened. Events describe something that already occurred — name them in the past tense (e.g. `OrderPlaced`, `PaymentCaptured`) so the ubiquitous language stays clear. — Event.cs:6
`DomainNotification` reads as an instruction, not a fact that happened. Events describe something that already occurred — name them in the past tense (e.g. `OrderPlaced`, `PaymentCaptured`) so the ubiquitous language stays clear. — DomainNotification.cs:6
What to do
Name events in the past tense — they record facts that already happened.
Other · Event-Driven — Whether state changes and message publishes are atomic (a transactional outbox) rather than a crash-unsafe dual write.
Method: Roslyn semantic scan (event-driven gated): event-handler methods scanned for DB-save plus bus-publish without a transactional outbox reference. Deterministic, semantic-resolved.
Do you agree with this assessment?
ED5 · Idempotency3.0 / 10Weak◐ Sampled · advisory
Other · Readiness — Whether retry-prone mutations (command handlers + message/event consumers) are idempotent so an at-least-once redelivery or client retry doesn't double-apply the effect — heuristic at-risk detection confirmed by language model, advisory.
Method: Roslyn heuristic (any mutation, ungated): command handlers and message/event consumers that mutate persistent state without a visible idempotency guard (exists/dedup check, upsert, idempotency-key/inbox, conditional/versioned write, fixed-value set) flagged as at-risk; each at-risk candidate then confirmed or cleared by a language model as genuinely non-idempotent versus naturally-idempotent. Advisory without a model (heuristic-only, degraded), per-candidate judged with one.
Coverage: Population: retry-prone mutations — command handlers (CQRS write side) + message/event consumers (IConsumer/I*EventHandler) — that mutate persistent state; runs on any repo with mutations, not only event-driven ones. The at-risk subset (no obvious guard) is a HEURISTIC candidate set, each then LLM-JUDGED non-idempotent vs safe; a handler outside those conventions, or a guard the LLM can't confirm, is bounded by the sample. Degrades to heuristic-only when no model is configured.
`CommandHandlers.CustomerCommandHandler.Handle` mutates persistent state (a repository write) with no visible idempotency guard. Under a client retry or at-least-once redelivery a re-run could double-apply it — confirm it's safe to re-run, or add an exists/dedup check, an upsert, an idempotency-key/inbox, or a versioned write. (Configure an LLM to auto-classify this.) (×2) — CustomerCommandHandler.cs:31, CustomerCommandHandler.cs:57
What to do
Make retry-prone mutations idempotent — guard each write with an exists/dedup check, an upsert, an idempotency-key/inbox, or a versioned write, so a re-run doesn't double-apply.
Other · Code Health — Unreviewed-generation residue: shipped members still throwing NotImplementedException, and placeholder string literals left in non-test, non-generated code. Scored as a quality signature, never as a claim about authorship.
Method: Roslyn syntax scan: NotImplementedException throws and placeholder string literals in non-test, non-generated shipped code. Deterministic, code-shape signature.
A shipped member still throws NotImplementedException — generated scaffolding that was never completed. Implement it or remove the dead surface. — MailService.cs:13
What to do
Finish or delete NotImplementedException stubs and replace placeholder literals before shipping.
Other · Code Health — Unfinished work detected by code SHAPE, not keywords: members that only throw a "not implemented" exception, methods that take inputs and return a constant, async methods that never await, dead `if (false)` / `#if false` branches, and skeleton types most of whose members are holes. A real, objective slice of technical debt.
`SendMail` is a shipped member whose whole body throws NotImplementedException — scaffolding that was never completed. Implement it or remove the dead surface. — MailService.cs:11
A line of code has been commented out rather than removed — dead weight that rots and confuses. Delete it (version control remembers). (×28) — AutoMapperConfig.cs:11, AutoMapperConfig.cs:12, ApplicationDbContext.cs:31, …
What to do
Finish or delete the unfinished stubs (NotImplementedException / empty / constant-returning bodies) — they are dead surface that looks live.
Clear the softer debt: remove commented-out code and dead branches, re-enable or delete skipped tests, and replace blanket warning suppressions with targeted ones.
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 README to the 10 of 10 project(s) that lack one — worth up to 2 pts.
Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem/Roslyn scan: CodeQL, Dependabot, secret-scanning, and BenchmarkDotNet presence in pipelines and projects. Exhaustive, deterministic.
What to do
Enable Dependabot/Renovate or a dependency-review gate.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
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.
Deployment automation exists but no readiness/liveness probes, rolling-update strategy, lifecycle hooks or migration job were evidenced — a bad release is harder to detect and reverse.
What to do
Add readiness/liveness probes and a rolling-update (or blue/green) strategy so a bad release is caught and rolled back automatically.
Add an approval/environment gate (required reviewers / protection rules) before production promotion.
Readiness · Readiness — Whether EF Core schema changes go through versioned migrations rather than the un-evolvable EnsureCreated().
Method: Roslyn scan: EF Core DbContext for a versioned migrations directory versus bare EnsureCreated usage. Exhaustive per project, deterministic.
Do you agree with this assessment?
P9 · Domain vs controller coverage1.0 / 10Critical✓ Tool-verified
Readiness · Readiness — Whether test coverage concentrates on the domain (business rules) rather than the trivial web/controller layer — a focus check a generic tool can't make.
Method: Roslyn plus test-execution analysis: domain-layer versus trivial web/controller coverage ratio. Computed metric, deterministic.
Domain coverage is 0% but the web/controller layer is at 45% — the trivial layer is better tested than the business rules. Coverage effort should concentrate where the invariants and decisions live (the domain), not on thin controllers/endpoints.
What to do
Shift coverage toward the domain: aim to cover aggregates/domain services above the web layer, since that's where the costly bugs are.
Other · Security — Transport security, security headers, secure cookies, input validation, middleware order and crypto hygiene (presence, not runtime).
No Content-Security-Policy / X-Frame-Options / X-Content-Type-Options configuration found — defense in depth, even when a reverse proxy could set them. (−2.0 on this card.)
No UseHttpsRedirection/UseHsts and no reverse-proxy signal — transport security is unverified at the app layer. (−2.0 on this card.)
No CookieSecurePolicy/HttpOnly/SameSite configuration found. (−1.5 on this card; skip if the app sets no cookies.)
What to do
Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.
Enforce HTTPS at the app layer (UseHttpsRedirection / UseHsts) — only skip this if a reverse proxy demonstrably terminates TLS.
Set secure cookie flags — CookieSecurePolicy.Always, HttpOnly, and SameSite (Strict/Lax) on auth/session cookies. Skip only if the app sets no cookies.
Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.
Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.
Other · Code Health — Whether async methods accept a CancellationToken so work can be cancelled (adoption curve).
Method: Roslyn scan: every async method (excluding framework-fixed overrides/Blazor handlers) checked for CancellationToken parameter presence. Deterministic, adoption percentage.
Only 0/11 async methods accept a CancellationToken, so requests can't be cancelled cleanly under load or on client disconnect. In Blazor Server circuits and other short-write hosts, omitting it can be an accepted convention — judge against your hosting model.
No CancellationToken parameter — work can't be cancelled cleanly on disconnect/shutdown. (×11) — HttpService.cs:12, HttpService.cs:30, HttpService.cs:43, …
What to do
Thread a CancellationToken through async methods so work stops promptly on cancellation.
Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.
Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.
`throw ex;` resets the exception's stack trace to this line, hiding where it really came from. Use a bare `throw;` to preserve the original stack. (×4) — HttpService.cs:26, HttpService.cs:39, HttpService.cs:57, …
Other · Code Health — Whether log calls use message templates (queryable) rather than interpolated strings.
Method: Roslyn syntax scan: every log call-site counted; interpolated-string first-argument violations flagged. Population is all log calls, not estimated. Deterministic.
Other · Code Health — Whether nullable reference types are enabled and not undermined by heavy `!` suppression.
Method: Roslyn compiler-options scan: NullableContextOptions per project; null-forgiving (!) suppression density per 1k syntax nodes. Deterministic, adoption plus suppression penalty.
0/8 projects enable <Nullable>enable</Nullable>. NRTs catch a whole class of null-deref bugs at compile time.
What to do
Enable <Nullable>enable</Nullable> across all projects and resolve warnings rather than suppressing with `!`.
Do you agree with this assessment?
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.
Not included — 39 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.
AX4 Dependency direction — not applicable to a CQRS architecture (the inward-dependency rule is for layered/clean styles)
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB2 Runtime readiness — no data
C3 Audit Trail — Repo shows no audit-logging mechanism (IAuditable, an immutable audit log, an EF SaveChanges interceptor) for sensitive changes — absence of evidence is not evidence of a working control. Record an audit trail in code (or document where it lives) so this dimension can be scored.
C4 Data Retention — Repo shows no data-retention / TTL / cleanup mechanism for personal data (event-sourced storage — lifecycle is stream archival / event TTL, not row CASCADE) — absence of evidence is not evidence of a working control. Define retention periods and a purge/cleanup job (or TTL) in code, or document where retention is enforced, so this dimension can be scored.
C5 Data-Subject Rights — Repo shows no corroborated data-subject-rights mechanism (erasure / export-portability / consent) tied to a subject id or GDPR vocabulary — absence of evidence is not evidence of a working control. Implement erasure, data export/portability and consent tracking over the subject's records.
D16 Bus Factor — single-maintainer — knowledge-concentration (bus factor) risk
D19 Documentation Quality — LLM dimension skipped
D21 Naming Consistency — LLM dimension skipped
D22 Internal API Consistency — LLM dimension skipped
D23 Boundary Type-Coupling — small single-context codebase (3,085 production LoC) — bounded contexts are not needed at this size
D24 Comment Value — LLM dimension skipped
D25 ADR Conformance — no ADRs to check
D32 Data Compliance (PII/GDPR) — Not applicable
D33 JS/npm Dependency Vulnerabilities — Not applicable
D36 Supply-chain Provenance & Signing — Not applicable
D37 Vulnerability-disclosure Policy — Not applicable
D38 OSV Dependency Vulnerabilities — Not applicable
D7 Architectural Integrity — No checkable ADRs to assess
DM1 Domain Modelling — applicable but skipped (2/3 markers — below the conservative bar): 3 domain event(s); a Domain/Aggregates/ValueObjects layer
ES1 Event Sourcing — not run — only 1/3 markers (an append-only event-store seam (IEventStore/Append-of-events))
M4 Documentation accuracy — LLM not available — accuracy is the Tier-2 layer and needs a reachable model.
P12 CI test-gate honesty — no data
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P6 Release Hygiene — not evidenced — no changelog, version stamp or semver release tag in the repo
PF1 Benchmark discipline — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
PF2 Allocation hygiene — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
PF3 Async & latency hygiene — Performance is assessed only for perf-relevant repos — a packaged library, one that ships benchmarks, or one already using allocation-aware APIs. This repo isn't one, so the Performance lens is not applicable and is excluded from the score.
SC1 Supply-chain hygiene — no data
X6 Hand-rolled structured-format parsing — no data
X7 Silent fallback defaults — no data
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.
High CVE: AutoMapper 9.0.0 — AutoMapper 9.0.0 (direct) has a High advisory; affects 5 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Microsoft.AspNetCore.Http 2.1.0 — Microsoft.AspNetCore.Http 2.1.0 (transitive) has a High advisory; affects 5 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Microsoft.Data.SqlClient 1.0.19269.1 — Microsoft.Data.SqlClient 1.0.19269.1 (transitive) has a High advisory; affects 7 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Newtonsoft.Json 12.0.3 — Newtonsoft.Json 12.0.3 (transitive) has a High advisory; affects 8 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: System.Net.Http 4.3.0 — System.Net.Http 4.3.0 (transitive) has a High advisory; affects 8 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: System.Text.RegularExpressions 4.3.0 — System.Text.RegularExpressions 4.3.0 (transitive) has a High advisory; affects 10 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Newtonsoft.Json 11.0.2 — Newtonsoft.Json 11.0.2 (transitive) has a High advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Microsoft.AspNetCore.Http 2.0.0 — Microsoft.AspNetCore.Http 2.0.0 (transitive) has a High advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: Microsoft.AspNetCore.Mvc.Core 2.0.0 — Microsoft.AspNetCore.Mvc.Core 2.0.0 (transitive) has a High advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: SQLitePCLRaw.lib.e_sqlite3 2.0.0 — SQLitePCLRaw.lib.e_sqlite3 2.0.0 (transitive) has a High advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
High CVE: System.Data.SqlClient 4.7.0 — System.Data.SqlClient 4.7.0 (transitive) has a High advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: Microsoft.Data.SqlClient 1.0.19269.1 — Microsoft.Data.SqlClient 1.0.19269.1 (transitive) has a Medium advisory; affects 7 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: System.Security.Cryptography.Xml 4.5.0 — System.Security.Cryptography.Xml 4.5.0 (transitive) has a Medium advisory; affects 5 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: Microsoft.AspNetCore.Authentication.JwtBearer 3.1.0 — Microsoft.AspNetCore.Authentication.JwtBearer 3.1.0 (direct) has a Medium advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: System.IdentityModel.Tokens.Jwt 5.6.0 — System.IdentityModel.Tokens.Jwt 5.6.0 (direct) has a Medium advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: Microsoft.IdentityModel.JsonWebTokens 5.6.0 — Microsoft.IdentityModel.JsonWebTokens 5.6.0 (transitive) has a Medium advisory; affects 4 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: KubernetesClient 1.6.10 — KubernetesClient 1.6.10 (transitive) has a Medium advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: Microsoft.Rest.ClientRuntime 2.3.10 — Microsoft.Rest.ClientRuntime 2.3.10 (transitive) has a Medium advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: Swashbuckle.AspNetCore.SwaggerUI 5.0.0-rc4 — Swashbuckle.AspNetCore.SwaggerUI 5.0.0-rc4 (transitive) has a Medium advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
Medium CVE: System.Data.SqlClient 4.7.0 — System.Data.SqlClient 4.7.0 (transitive) has a Medium advisory; affects 2 projects — one upgrade fixes all. https://github.com/advisories/[GHSA redacted]
TodoComment Src/DDD.Domain/Services/HttpService.cs:34— // TODO: Handle queryParams, headers — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment Src/DDD.Domain/Services/HttpService.cs:82— // TODO: Handle queryParams — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment Src/DDD.Domain/Services/HttpService.cs:101— // TODO: Handle queryParams — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment Src/DDD.Domain/Services/HttpService.cs:118— // TODO: Handle queryParams — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
TodoComment Src/DDD.Infra.Data/Context/ApplicationDbContext.cs:91— // TODO: Get real current user id — source code is not a task system: move the work to your tracker and leave a reference instead (e.g. `// REF: PROJ-123`), so the task is planned where tasks live and the ticket links back to the code.
Orphaned knowledge Src/DDD.Services.Api/Startup.cs— No living knowledge remains for this 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.
Off the main sequence: DDD.Infra.CrossCutting.Bus — DDD.Infra.CrossCutting.Bus: abstractness 0.00, instability 0.11, distance 0.89 — zone of pain — concrete and heavily depended-on, so it's rigid to change.
Low cohesion: BaseSpecification (LCOM4 6) Src/DDD.Domain/Specifications/BaseSpecification.cs:8— BaseSpecification's methods form 6 groups that share no state and don't call each other — a sign it may have several responsibilities. Review whether it splits into focused classes.
Oversized method: DDD.Application.EventSourcedNormalizers.CustomerHistory.CustomerHistoryDeserializer — DDD.Application.EventSourcedNormalizers.CustomerHistory.CustomerHistoryDeserializer compiles to 604 IL instructions — too large to inline; consider splitting the hot path.
Oversized method: DDD.Services.Api.Controllers.AccountController/<GenerateToken>d__12.MoveNext — DDD.Services.Api.Controllers.AccountController/<GenerateToken>d__12.MoveNext compiles to 443 IL instructions — too large to inline; consider splitting the hot path.
Oversized method: DDD.Services.Api.Controllers.AccountController/<Refresh>d__10.MoveNext — DDD.Services.Api.Controllers.AccountController/<Refresh>d__10.MoveNext compiles to 312 IL instructions — too large to inline; consider splitting the hot path.
Oversized method: DDD.Infra.CrossCutting.Identity.Data.Migrations.CreateIdentitySchema/<>c.<Up>b__0_4 — DDD.Infra.CrossCutting.Identity.Data.Migrations.CreateIdentitySchema/<>c.<Up>b__0_4 compiles to 291 IL instructions — too large to inline; consider splitting the hot path.
LLM dimension skipped — This dimension requires a reachable LLM provider; configure/start one to evaluate it.
D22 · Internal API Consistency· LLM dimension skipped · ×1
LLM dimension skipped — This dimension requires a reachable LLM provider; configure/start one to evaluate it.
D23 · Boundary Type-Coupling· small single-context codebase (3,085 production LoC) · ×1
small single-context codebase (3,085 production LoC) — bounded contexts are not needed at this size — small single-context codebase (3,085 production LoC) — bounded contexts are not needed at this size Declare architecture.contexts (≥2) in config to assess cross-boundary type coupling.
no ADRs to check — No ADRs found, so conformance can't be assessed.
D28 · Secrets (history)· Rotate the exposed credentials · ×1
Rotate the exposed credentials — git history can't be un-committed — Some of these secrets are in git HISTORY: deleting the file does not remove them (the commit persists on every clone, fork and backup). The remediation is to ROTATE each historically-exposed credential and treat it as compromised — not to delete the file. Rewriting history is disruptive and unreliable across existing forks. (Working-tree-only secrets — no commit — can instead be removed from the file and moved to a secret store.)
Low IaC: DS-0026 Dockerfile— No HEALTHCHECK defined
D32 · Data Compliance (PII/GDPR)· Not applicable · ×1
Not applicable — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
D33 · JS/npm Dependency Vulnerabilities· Not applicable · ×1
Not applicable — No JS/npm manifest or lockfile found outside bin/obj (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
D36 · Supply-chain Provenance & Signing· Not applicable · ×1
Not applicable — The CI pipeline builds and tests but publishes no released artifact — 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 NuGet package, a container image, a GitHub release).
D37 · Vulnerability-disclosure Policy· Not applicable · ×1
Not applicable — No vulnerability-disclosure policy file found (SECURITY.md, .github/SECURITY.md, docs/SECURITY.md, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D38 · OSV Dependency Vulnerabilities· Not applicable · ×1
Not applicable — No JS/npm lockfile found outside bin/obj (package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); nothing for OSV to scan.
D7 · Architectural Integrity· No checkable ADRs to assess · ×1
No checkable ADRs to assess — No architecture decision records were found and the project graph is acyclic, so architectural integrity could not be assessed. Add ADRs (with `enforcement: analyzer|test`) to make the architecture's rules checkable.
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.
trivy: not applicable — No JS/npm manifest or lockfile found outside bin/obj (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
provenance: not applicable — The CI pipeline builds and tests but publishes no released artifact — 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 NuGet package, a container image, a GitHub release).
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md, .github/SECURITY.md, docs/SECURITY.md, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
osv-scanner: not applicable — No JS/npm lockfile found outside bin/obj (package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); nothing for OSV to scan.
0
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Run 019f0835-abae-720c-a07d-16ea0e6d40bb · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Appendix C — Personal-data map
Every field, property and record parameter whose name is conventional personal data — 21 field(s) across 3 categories, each with an exact repo-relative file:line. This is the data inventory a compliance review starts from — right-to-erasure, retention, minimisation. Detected by name with a deliberately specific classifier (the same one the GDPR dimensions use, so CardDefinition or FileName don't trip); informational — it feeds no score.
Issues: 25 · Warnings: 28 · Recommendations: 19 · Info: 47 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 27-06-2026 @ 08:32 UTC.
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.