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Scan timing: clone 4.48s · analysis 15.66s · 30.6 MB · GitHub preflight 679ms

bytedance/deer-flow

https://github.com/bytedance/deer-flow.git · scanned 2026-06-23 23:06 UTC (2 months, 2 weeks ago) · 10 languages

854 raw signals (300 security + 554 graph) 11/13 scanners ran 4th percentile · Python · large (100-500K LoC)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 months, 2 weeks ago · v1 · 605 actionable findings from 2 signal sources. 232 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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100.0% cov · 479 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	40.0	0.15	6.00
`security_score`	100.0	0.25	25.00
`testing_score`	100.0	0.20	20.00
`documentation_score`	100.0	0.15	15.00
`practices_score`	70.0	0.15	10.50
`code_quality`	46.0	0.10	4.60
Overall		1.00	81.1

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 7 High 124 Medium 157 Low 155 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 126 System graph 479 Crowd 0 Layer: Cicd 8 Quality 263 Security 220 Software 29 Frontend 20 Hardware 5 Api 60

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Scan summary Repository scanned at 40.5/100 with 100.0% coverage. It contains 12642 nodes across 30 cross-layer flows, written primarily in mixed languages. Engine surfaced 554 findings — concentrated in security (228), quality (187), api (60). Risk profile is high: 12 critical, 94 high, 164 medium. Recommended next step: open the security layer findings first — that's where the highest-impact wins live.

Showing 0 of 605 actionable findings. 837 raw detector signals were grouped into reader-sized issues. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

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