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szTheory/mailglass

https://github.com/szTheory/mailglass · scanned 2026-06-16 00:28 UTC (2 months, 2 weeks ago)

15 raw signals (0 security + 15 graph)

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Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 15 actionable findings from 1 signal source. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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88.9% cov · 15 findings

Severity distribution — click a segment to filter

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Severity: Critical 0 High 0 Medium 6 Low 5 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 0 System graph 15 Crowd 0 Layer: Hardware 3 Frontend 1 Security 2 Cicd 2 Quality 7

Exclude dismissed / FP Exclude test files

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Scan summary Repository scanned at 80.8/100 with 88.9% coverage. It contains 279 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 15 findings — concentrated in quality (7), hardware (3), security (2). Risk profile is low: 0 critical, 0 high, 6 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 10 of 15 actionable findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium System graph hardware Security conf 1.00 Dockerfile runs as root: reference/demo_app/Dockerfile

No non-root USER set. Containers running as root expand the blast radius of any vulnerability inside the image.

Container

medium System graph cicd CI/CD security conf 1.00 GitHub Actions workflow grants broad write permissions

CI tokens with write permissions increase blast radius when an action, dependency, or PR workflow is compromised. Prefer job-level least-privilege permissions.

.github/workflows/release-please.yml CI/CD securitySupply chainGithub actions

medium System graph security security conf 1.00 Insecure pattern 'direct_innerhtml_assignment' in brandbook-fable/index.html:1105

Found a known-risky pattern (direct_innerhtml_assignment). Review and replace if possible.

brandbook-fable/index.html:1105 Direct innerhtml assignment

medium System graph security Coverage conf 1.00 No auth library detected

The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). The repo has auth/admin/session surface indicators, so auth may live in custom code, in a separate service, or be missing.

auth

medium System graph quality Tests conf 1.00 Very low test-to-source ratio

0 test file(s) for 5 source file(s) (ratio 0.00). Consider adding integration or unit tests for critical paths.

Coverage

low System graph quality Integrity conf 1.00 5 env vars used in code but missing from .env.example

Drift between code and config docs. The first few: `BROWSER_SERVER_PORT`, `CI`, `DEMO_BASE_URL`, `OPERATOR_BASE_URL`, `PORT`. Add them (with a placeholder/comment) to .env.example so onboarding doesn't break.

config drift

low System graph hardware Coverage conf 1.00 Containers defined but no K8s/orchestration manifest found

Repo has Dockerfiles/compose but no Kubernetes/Nomad manifests. If the target deployment is K8s, the manifests may live in a separate ops repo.

Deployment

low System graph quality Debug conf 1.00 Debug logging residue appears in source files

Found 13 console/debugger/print-style debug statements in non-test source. This is a common fast-generation residue before production cleanup.

CleanupRepo hardeningGenerated repo pattern

low System graph hardware Supply chain conf 1.00 Docker base image is tag-pinned but not digest-pinned: hexpm/elixir:1.18.4-erlang-27.3.4-debian-bookworm-20250520-slim

Container tags can be retagged upstream. Pin production base images to a reviewed digest (`image@sha256:...`) when reproducibility and supply-chain integrity matter.

reference/demo_app/Dockerfile:1 containersPinned dependencies

low System graph quality Provenance conf 1.00 Shallow git history limits provenance confidence

The repository is a shallow clone. Origin/evolution analysis cannot distinguish fresh generation, imported legacy code, or long-lived human code with high confidence.

Git historyGenerated repo pattern

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