rust-lang/rust

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136 of your 414 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Upstream (GitHub) caused delay on this scan — not Repobility.

GitHub API rate-limited (HTTP 403) — preflight skipped, fell back to direct git clone.
Clone from GitHub took 62.94s for a 216.5 MB repo slow.
Repobility's analysis ran in 366.7s after the clone landed.

https://github.com/rust-lang/rust · scanned 2026-06-05 05:29 UTC (9 hours, 13 minutes ago) · 10 languages

1398 findings (384 legacy + 1014 scanner) 11/13 scanners ran 83rd percentile · Rust · huge (>500K LoC) Scanner says 64 (higher by 22)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 9 hours, 13 minutes ago · v2 · 891 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	85.0	0.15	12.75
`security_score`	100.0	0.25	25.00
`testing_score`	85.0	0.20	17.00
`documentation_score`	87.0	0.15	13.05
`practices_score`	86.0	0.15	12.90
`code_quality`	50.0	0.10	5.00
Overall		1.00	85.7

security_score may be inflated — optional security scanners were skipped on this fast scan

Severity distribution — click a segment to filter

Active filters: layer: data × excluding tests × Reset all

Severity: Critical 9 High 270 Medium 96 Low 486 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 384 9-layer 507 Crowd 0 Layer: Quality 451 Cicd 214 Software 138 Security 20 Api 1 Hardware 66 Frontend 1

Exclude dismissed / FP Exclude test files

Scan summary Repository scanned at 63.6/100 with 88.9% coverage. It contains 36544 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 507 findings — concentrated in quality (308), software (74), hardware (66). Risk profile is high: 0 critical, 16 high, 62 medium. Recommended next step: open the quality layer findings first — that's where the highest-impact wins live.

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