https://github.com/PaddlePaddle/PaddleOCR
· scanned 2026-06-04 23:21 UTC (14 hours, 18 minutes ago)
· 10 languages
1202 findings (366 legacy + 836 scanner) 11/13 scanners ran 52nd percentile · Python · large (100-500K LoC) Scanner says 69 (higher by 6)
Last scanned 14 hours, 16 minutes ago · v4 · 575 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 |
60.0 | 0.15 | 9.00 |
security_score |
100.0 | 0.25 | 25.00 |
testing_score |
66.0 | 0.20 | 13.20 |
documentation_score |
70.0 | 0.15 | 10.50 |
practices_score |
74.0 | 0.15 | 11.10 |
code_quality |
63.0 | 0.10 | 6.30 |
| Overall | 1.00 | 75.1 |
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.
paddleocr/_doc2md/converters/pptx.py:412
paddleocr/_doc2md/converters/pptx.py:455
paddleocr/_doc2md/converters/pptx.py:349
paddleocr/_doc2md/converters/xlsx.py:71
paddleocr/_doc2md/math/__init__.py:25
paddleocr/_api_client/cli.py:314
paddleocr/_api_client/cli.py:221
paddleocr/_api_client/_async_http.py:179
ppocr/data/imaug/make_pse_gt.py:99
ppocr/data/imaug/ct_process.py:97
ppocr/data/imaug/operators.py:310
ppocr/data/imaug/rec_img_aug.py:928
.pre-commit-config.yaml:37
.pre-commit-config.yaml:30
.pre-commit-config.yaml:15
.pre-commit-config.yaml:3
tests/test_safe_yaml_config_loading.py:60
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