Scanned merlvintan/damn-vulnerable-llm-agent: 2 findings (HIGH ×2), governance score 27/100, EU AI Act readiness PARTIAL. Both findings are SQL injection via LLM-generated query in transaction_db.py. Framework detected: LangChain.

Also adds data/scan-corpus-failures.json logging the skipped target szybnev/DVLA (API returned no_agent_code — no detectable LLM agent code).

Corpus grows from 2 → 3 scans; total findings observed 9 → 11; average governance score 16.0 → 19.67.

Generated by Claude Code

Summary by cubic

Refreshed the scan corpus by adding merlvintan/damn-vulnerable-llm-agent and logging a skipped target; updated aggregates. Found 2 HIGH SQL injection issues in transaction_db.py.

• Data Updates
  • New scan: merlvintan/damn-vulnerable-llm-agent — 2 HIGH (SQL injection), governance 27/100, EU AI Act readiness PARTIAL, langchain detected.
  • Failure logging: added data/scan-corpus-failures.json; recorded skipped szybnev/DVLA (400, reason no_agent_code).
  • Aggregates: total_scans 3, total_findings_observed 11, average_governance_score 19.67, last_refreshed 2026-06-07T19:34:31Z.

^{Written for commit 46c65df. Summary will update on new commits.}