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GenericAgent

https://github.com/lsdefine/GenericAgent.git · scanned 2026-05-17 02:55 UTC (17 hours, 31 minutes ago) · 10 languages

232 findings (24 legacy + 208 scanner) 60th percentile · Python · medium (20-100K LoC) Scanner says 82 (lower by 26)

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 17 hours, 31 minutes ago · v2 · 129 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
{# ── 2026-05-17 R27 #5: score breakdown panel ────────────────────── Surfaces the score_breakdown JSON that's been silently stored on Repository for months. Turns hidden math into a trust signal. #}
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 75.0 0.15 11.25
security_score 73.2 0.25 18.30
testing_score 12.0 0.20 2.40
documentation_score 84.0 0.15 12.60
practices_score 40.0 0.15 6.00
code_quality 61.2 0.10 6.12
Overall 1.00 56.7
Calibrated penalty buckets (security_score): agent: 4.3 · threat: 22.5
Severity distribution — click a segment to filter
Active filters: layer: security × excluding tests × Reset all
Severity: Critical 0 High 27 Medium 17 Low 80 Source: Legacy 24 9-layer 105 Crowd 0 Layer: Quality 54 Security 18 Software 33 Frontend 3 Data 1 Cicd 1 Api 19
Scan summary Repository scanned at 82.3/100 with 100.0% coverage. It contains 1452 nodes across 18 cross-layer flows, written primarily in mixed languages. Engine surfaced 105 findings — concentrated in quality (42), software (28), api (19). Risk profile is high: 0 critical, 13 high, 9 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

Showing 18 of 129 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

high Legacy security path_traversal conf 0.80 [SEC013] Path Traversal — User Input in File Path: User-controlled input used in file path without sanitization. Allows reading arbitrary files.
Use os.path.realpath() and verify the path starts with your expected base directory. Use secure_filename() for uploads.
agentmain.py:208 path_traversallegacy
high Legacy security path_traversal conf 0.80 [SEC013] Path Traversal — User Input in File Path: User-controlled input used in file path without sanitization. Allows reading arbitrary files.
Use os.path.realpath() and verify the path starts with your expected base directory. Use secure_filename() for uploads.
memory/vision_api.template.py:55 path_traversallegacy
high Legacy security path_traversal conf 0.80 [SEC013] Path Traversal — User Input in File Path: User-controlled input used in file path without sanitization. Allows reading arbitrary files.
Use os.path.realpath() and verify the path starts with your expected base directory. Use secure_filename() for uploads.
memory/ocr_utils.py:52 path_traversallegacy
high Legacy security credential_exposure conf 0.85 [SEC020] Secret Printed to Logs: Debug or diagnostic code appears to print a credential-bearing value. This is a frequent AI-assisted coding failure: the helper exposes the exact value needed for troubleshooting.
Log only redacted, hashed, or last-four-style metadata. Rotate any secret that may have reached logs.
assets/configure_mykey.py:939 credential_exposurelegacy
high Legacy security credential_exposure conf 0.85 [SEC020] Secret Printed to Logs: Debug or diagnostic code appears to print a credential-bearing value. This is a frequent AI-assisted coding failure: the helper exposes the exact value needed for troubleshooting.
Log only redacted, hashed, or last-four-style metadata. Rotate any secret that may have reached logs.
llmcore.py:168 credential_exposurelegacy
high Legacy security llm_injection conf 0.82 LLM memory extraction can be prompt-injected into storing fake facts
Strict-JSON memory extraction from raw user and assistant text can be manipulated by a user message unless extracted facts are schema-validated and filtered before persistence.
frontends/qtapp.py:448 llm_injectionlegacy
high 9-layer security auth conf 1.00 FastAPI POST `api_chat` without auth dependency — frontends/conductor.py:390
`@router.post` decorator with no `Depends(get_current_user)` or auth-shaped dependency in its signature. Mutating endpoints should require authentication unless explicitly public.
frontends/conductor.py:390 authowaspauth.fastapi.unauth_mutation
high 9-layer security auth conf 1.00 FastAPI POST `api_start_subagent` without auth dependency — frontends/conductor.py:346
`@router.post` decorator with no `Depends(get_current_user)` or auth-shaped dependency in its signature. Mutating endpoints should require authentication unless explicitly public.
frontends/conductor.py:346 authowaspauth.fastapi.unauth_mutation
high 9-layer security auth conf 1.00 FastAPI POST `api_subagent_action` without auth dependency — frontends/conductor.py:352
`@router.post` decorator with no `Depends(get_current_user)` or auth-shaped dependency in its signature. Mutating endpoints should require authentication unless explicitly public.
frontends/conductor.py:352 authowaspauth.fastapi.unauth_mutation
high 9-layer security auth conf 1.00 FastAPI POST `create_post` without auth dependency — assets/agent_bbs.py:157
`@router.post` decorator with no `Depends(get_current_user)` or auth-shaped dependency in its signature. Mutating endpoints should require authentication unless explicitly public.
assets/agent_bbs.py:157 authowaspauth.fastapi.unauth_mutation
high 9-layer security auth conf 1.00 FastAPI POST `startup` without auth dependency — assets/agent_bbs.py:145
`@router.post` decorator with no `Depends(get_current_user)` or auth-shaped dependency in its signature. Mutating endpoints should require authentication unless explicitly public.
assets/agent_bbs.py:145 authowaspauth.fastapi.unauth_mutation
high 9-layer security auth conf 1.00 FastAPI POST `upload_file` without auth dependency — assets/agent_bbs.py:195
`@router.post` decorator with no `Depends(get_current_user)` or auth-shaped dependency in its signature. Mutating endpoints should require authentication unless explicitly public.
assets/agent_bbs.py:195 authowaspauth.fastapi.unauth_mutation
high 9-layer security owasp conf 1.00 Insecure pattern 'eval_used' in assets/tmwd_cdp_bridge/background.js:177
Found a known-risky pattern (eval_used). Review and replace if possible.
assets/tmwd_cdp_bridge/background.js:177 owaspeval_used
high 9-layer security owasp conf 1.00 Insecure pattern 'eval_used' in frontends/desktop/src-tauri/src/lib.rs:282
Found a known-risky pattern (eval_used). Review and replace if possible.
frontends/desktop/src-tauri/src/lib.rs:282 owaspeval_used
high 9-layer security owasp conf 1.00 Insecure pattern 'eval_used' in ga.py:300
Found a known-risky pattern (eval_used). Review and replace if possible.
ga.py:300 owaspeval_used
high 9-layer security owasp conf 1.00 Insecure pattern 'exec_used' in ga.py:301
Found a known-risky pattern (exec_used). Review and replace if possible.
ga.py:301 owaspexec_used
medium Legacy security crypto conf 1.00 [SEC015] Insecure Randomness for Security: Weak PRNG used in security-sensitive context. Output is predictable.
Use secrets module (Python) or crypto.getRandomValues() (JS) for security-sensitive randomness.
frontends/desktop/static/app.js:804 cryptolegacy
medium 9-layer security coverage conf 1.00 No auth library detected
The scanner did not find any standard auth library (JWT, OAuth, NextAuth, Auth0, etc.). Either auth lives in custom code, in a separate service, or is missing.
coverageauth
{# ── 2026-05-17 Round 14: AI-agent bridge footer ────────────────────── Discoverability: the /agents/voting/ guide + MCP manifest exist but aren't linked from anywhere users actually land. Small, opt-in footer. #}
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
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