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docs: Vulnerability Assessment Report for ixa Framework#1

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docs: Vulnerability Assessment Report for ixa Framework#1
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devin/1773410726-vulnerability-assessment

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docs: Add Vulnerability Assessment Report for ixa Framework

Summary

Adds a comprehensive vulnerability assessment report (VULNERABILITY_ASSESSMENT.md) to the repository root. The assessment was performed using cargo audit, Snyk SAST, and manual review of CI/CD pipelines, Dockerfile, and code patterns.

14 findings total: 0 critical, 1 high (transitive bytes crate integer overflow), 4 medium (unpinned GH Actions, unmaintained deps, unpinned Docker base image), 5 low, 4 informational. A prioritized remediation matrix and prevention recommendations are included.

No code changes—this is a documentation-only PR.

Review & Testing Checklist for Human

  • Verify FINDING-01 is still current: Run cargo audit locally to confirm the bytes v1.10.1 advisory (RUSTSEC-2026-0007) hasn't already been resolved by a recent Cargo.lock update
  • Assess severity ratings against your threat model: The report rates the bytes overflow as HIGH, but the web_api feature is optional and localhost-only—confirm this severity is appropriate for your deployment context
  • Note: Snyk SCA scan did not complete — the folder trust step hung, so Software Composition Analysis was not included. Consider running snyk test manually for full dependency coverage
  • Spot-check CI/CD findings (FINDING-04, FINDING-10): Verify the unpinned action references and the bench-compare.yaml script injection claim by reviewing the actual workflow files
  • Decide on report placement: Confirm VULNERABILITY_ASSESSMENT.md in the repo root is the desired location (vs. docs/ or a separate security tracking system)

Notes

  • The Snyk Code Scan (SAST) completed cleanly with 0 issues. The IaC scan found no IaC files, which is expected for a pure Rust project.
  • The report includes a remediation priority matrix (P0–P4) and 7 future prevention recommendations (e.g., integrating cargo audit into CI).

Requested by: @charityquinn-cognition
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Co-Authored-By: Charity Quinn <charity.quinn@cognition.ai>
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