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Scan timing: clone 12.06s · analysis 37.09s · 40.9 MB · GitHub API rate-limit (preflight)

tinygrad/tinygrad

https://github.com/tinygrad/tinygrad · scanned 2026-06-04 21:59 UTC (15 hours, 40 minutes ago) · 10 languages

1021 findings (255 legacy + 766 scanner) 11/13 scanners ran 48th percentile · Python · large (100-500K LoC) Scanner says 61 (higher by 13)

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

Complete repo analysis

Last scanned 15 hours, 37 minutes ago · v2 · 639 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
78
255 legacy
9-layer
61
100.0% cov · 384 gaps
Critical
10
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 60.0 0.15 9.00
security_score 100.0 0.25 25.00
testing_score 82.0 0.20 16.40
documentation_score 63.0 0.15 9.45
practices_score 75.0 0.15 11.25
code_quality 28.0 0.10 2.80
Overall 1.00 73.9
security_score may be inflated — optional security scanners were skipped on this fast scan
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 10 High 165 Medium 62 Low 333 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 255 9-layer 384 Crowd 0 Layer: Quality 422 Cicd 55 Software 110 Security 28 Frontend 7 Data 1 Network 4 Hardware 3 Api 9

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

#1
Insecure pattern 'eval_used' in extra/hook_cuda.py:216
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
extra/hook_cuda.py:216
#2
Insecure pattern 'eval_used' in extra/torch_hook/hook_torch.py:132
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
extra/torch_hook/hook_torch.py:132
#3
Insecure pattern 'exec_used' in tinygrad/uop/spec.py:266
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
tinygrad/uop/spec.py:266
#4
Insecure pattern 'exec_used' in tinygrad/uop/ops.py:1003
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
tinygrad/uop/ops.py:1003
#5
Insecure pattern 'exec_used' in tinygrad/uop/upat.py:167
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
tinygrad/uop/upat.py:167
#6
Insecure pattern 'exec_used' in tinygrad/runtime/support/autogen.py:281
GapSeverity.HIGH Layer.SECURITY score 0.413
Why: high severity · OWASP-class risk
tinygrad/runtime/support/autogen.py:281
#7
pull_request_target workflow appears to check out untrusted PR code
GapSeverity.HIGH Layer.CICD score 0.375
Why: high severity
.github/workflows/szdiff.yml
#8
Privileged port 8 in use
GapSeverity.MEDIUM Layer.NETWORK score 0.338
Why: medium severity · misconfigured network surface
Fix: If the number in .github/workflows/mlperf.yml is a real port, change the binding to ≥1024 or run behind a proxy.
.github/workflows/mlperf.yml
#9
Privileged port 5 in use
GapSeverity.MEDIUM Layer.NETWORK score 0.338
Why: medium severity · misconfigured network surface
Fix: If the number in .github/workflows/mlperf.yml is a real port, change the binding to ≥1024 or run behind a proxy.
.github/workflows/mlperf.yml
#10
Privileged port 12 in use
GapSeverity.MEDIUM Layer.NETWORK score 0.338
Why: medium severity · misconfigured network surface
Fix: If the number in .github/workflows/mlperf.yml is a real port, change the binding to ≥1024 or run behind a proxy.
.github/workflows/mlperf.yml

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