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stamparm/maltrail

https://github.com/stamparm/maltrail · scanned 2026-05-31 01:25 UTC (5 days, 13 hours ago) · 10 languages

173 findings (87 legacy + 86 scanner) 11/13 scanners ran 41st percentile · Python · small (2-20K LoC) Scanner says 89 (lower by 25)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 13 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.

JSON
Combined
81.0
/100
Repobility
73
87 legacy
9-layer
89
100.0% cov · 43 gaps
Critical
2
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
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
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: layer: integrity × excluding tests × Reset all
Severity: Critical 2 High 65 Medium 14 Low 35 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 87 9-layer 43 Crowd 0 Layer: Software 8 Quality 98 Cicd 8 Security 9 Api 1 Frontend 3 Hardware 3
Scan summary Repository scanned at 89.1/100 with 100.0% coverage. It contains 1443 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 43 findings — concentrated in quality (27), security (5), frontend (3). Risk profile is high: 0 critical, 1 high, 8 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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