NVIDIA/warp

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https://github.com/NVIDIA/warp · scanned 2026-05-15 19:40 UTC (2 weeks, 6 days ago) · 10 languages

1043 findings (807 legacy + 236 scanner) 53rd percentile · Python · large (100-500K LoC) Scanner says 72 (higher by 3)

File as issue Image v2 schema

UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 2 weeks, 6 days ago · v1 · 801 findings from 1 source. 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 2026-05-17-v4 calibration-aware

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	90.4	0.25	22.60
`testing_score`	80.0	0.20	16.00
`documentation_score`	94.0	0.15	14.10
`practices_score`	65.0	0.15	9.75
`code_quality`	30.0	0.10	3.00
Overall		1.00	74.5

Calibrated penalty buckets (security_score): docker: 6.6 Â· threat: 3.0

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 0 High 761 Medium 11 Low 29 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 801 9-layer 0 Crowd 0 Layer: Quality 59 Software 686 Security 50 Cicd 6

Exclude dismissed / FP Exclude test files

Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Fragile runtime 59 findings

What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.

Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.

How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.

Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).

12 matching findings on this repo

medium Magic number used as default arg asv/benchmarks/atomics.py:61
medium Magic number used as default arg warp/_src/types.py:4903
medium Magic number used as default arg warp/__init__.pyi:6116
medium Magic number used as default arg warp/__init__.pyi:6115
medium Magic number used as default arg warp/__init__.pyi:6082
medium Magic number used as default arg warp/__init__.pyi:4317
medium Magic number used as default arg warp/__init__.pyi:4316
medium Magic number used as default arg warp/__init__.pyi:4297
medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … warp/_src/codegen.py:4213
medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … warp/_src/context.py:3410
medium [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides … warp/examples/browse.py:24
medium Duplicated implementation block across source files warp/native/cuBQL/builder/cuda/sah_builder.h:106

View all fragile runtime findings →

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