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32 of your 92 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

huggingface/accelerate

https://github.com/huggingface/accelerate.git · scanned 2026-05-18 14:47 UTC (2 weeks, 3 days ago) · 10 languages

644 findings (92 legacy + 552 scanner) 63rd percentile · Python · medium (20-100K LoC) Scanner says 77 (lower by 10)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 3 days ago · v3 · 248 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
69.5
/100
Repobility
62
92 legacy
9-layer
77
88.9% cov · 156 gaps
Critical
3
click to filter
Agents
6
1 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 34.0 0.25 8.50
testing_score 90.0 0.20 18.00
documentation_score 90.0 0.15 13.50
practices_score 72.0 0.15 10.80
code_quality 36.0 0.10 3.60
Overall 1.00 67.1
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 3 High 44 Medium 35 Low 107 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 92 9-layer 156 Crowd 0 Layer: Quality 126 Cicd 36 Security 22 Software 46 Api 1 Network 1 Hardware 15 Frontend 1

Top 10 actions, ranked by impact × ease. Severity drives impact; tag-based fix-clarity drives ease.

#1
Insecure pattern 'eval_used' in benchmarks/fp8/torchao/fp8_utils.py:106
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
benchmarks/fp8/torchao/fp8_utils.py:106
#2
Insecure pattern 'eval_used' in benchmarks/fp8/torchao/fsdp.py:56
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
benchmarks/fp8/torchao/fsdp.py:56
#3
Insecure pattern 'eval_used' in benchmarks/fp8/torchao/ddp.py:39
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
benchmarks/fp8/torchao/ddp.py:39
#4
Insecure pattern 'eval_used' in benchmarks/fp8/torchao/non_distributed.py:38
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
benchmarks/fp8/torchao/non_distributed.py:38
#5
Insecure pattern 'eval_used' in benchmarks/fp8/transformer_engine/fp8_utils.py:106
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
benchmarks/fp8/transformer_engine/fp8_utils.py:106
#6
Insecure pattern 'eval_used' in benchmarks/fp8/ms_amp/fp8_utils.py:106
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
benchmarks/fp8/ms_amp/fp8_utils.py:106
#7
Insecure pattern 'eval_used' in benchmarks/torch.compile/regional_compilation.py:49
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
benchmarks/torch.compile/regional_compilation.py:49
#8
Privileged port 59 in use
GapSeverity.MEDIUM Layer.NETWORK score 0.338
Why: medium severity · misconfigured network surface
Fix: If the number in examples/slurm/submit_multigpu.sh is a real port, change the binding to ≥1024 or run behind a proxy.
examples/slurm/submit_multigpu.sh
#9
No auth library detected
GapSeverity.MEDIUM Layer.SECURITY score 0.338
Why: medium severity
#10
Docker base image uses a mutable or implicit tag: continuumio/miniconda3:latest
GapSeverity.MEDIUM Layer.HARDWARE score 0.225
Why: medium severity
docker/accelerate-gpu-deepspeed/Dockerfile:5

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