https://github.com/microsoft/VibeVoice.git
· scanned 2026-05-24 01:24 UTC (1 week, 5 days ago)
· 10 languages
216 findings (80 legacy + 136 scanner) 11/13 scanners ran 35th percentile · Python · small (2-20K LoC) Scanner says 92 (lower by 28)
Last scanned 1 week, 5 days ago · v2 · 148 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.
| Component | Sub-score | Weight | Contribution |
|---|---|---|---|
structure_score |
75.0 | 0.15 | 11.25 |
security_score |
100.0 | 0.25 | 25.00 |
testing_score |
13.0 | 0.20 | 2.60 |
documentation_score |
95.0 | 0.15 | 14.25 |
practices_score |
40.0 | 0.15 | 6.00 |
code_quality |
45.0 | 0.10 | 4.50 |
| Overall | 1.00 | 63.6 |
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.
vibevoice/modular/modular_vibevoice_tokenizer.py:435
vibevoice/modular/modular_vibevoice_tokenizer.py:259
vibevoice/modular/modular_vibevoice_tokenizer.py:179
vibevoice/modular/modular_vibevoice_tokenizer.py:164
vibevoice/modular/configuration_vibevoice.py:97
vibevoice/modular/configuration_vibevoice.py:34
vllm_plugin/scripts/gradio_asr_demo_api_video.py:649
vllm_plugin/scripts/gradio_asr_demo_api_video.py:589
vllm_plugin/scripts/gradio_asr_demo_api_video.py:535
vllm_plugin/scripts/gradio_asr_demo_api_video.py:466
vllm_plugin/scripts/gradio_asr_demo_api_video.py:388
vllm_plugin/scripts/gradio_asr_demo_api_video.py:232
vllm_plugin/model.py:576
vllm_plugin/model.py:481
demo/vibevoice_asr_inference_from_file.py:147
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