Scan timing: clone 5.23s · analysis 2.05s · 47.8 MB · GitHub API rate-limit (preflight)
https://github.com/stamparm/maltrail
· scanned 2026-05-31 01:25 UTC (5 days, 12 hours ago)
· 10 languages
173 findings (87 legacy + 86 scanner) 11/13 scanners ran 39th percentile · Python · small (2-20K LoC) Scanner says 89 (lower by 25)
Last scanned 5 days, 12 hours ago · v2 · 130 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.
| Component | Sub-score | Weight | Contribution |
|---|---|---|---|
structure_score |
55.0 | 0.15 | 8.25 |
security_score |
100.0 | 0.25 | 25.00 |
testing_score |
0.0 | 0.20 | 0.00 |
documentation_score |
97.0 | 0.15 | 14.55 |
practices_score |
67.0 | 0.15 | 10.05 |
code_quality |
61.0 | 0.10 | 6.10 |
| Overall | 1.00 | 63.9 |
Top 10 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.
thirdparty/six/__init__.py:740sensor.py:1072html/js/thirdparty.min.js:1840core/settings.py:192.github/workflows/docker-release.yml:17Click "Find this gap" on any action above to jump to it on the Findings tab. Adjust the chip bar to filter by impact (severity), layer, or source.
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