numpy/numpy
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Unsafe Deserialization
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## Code-quality scan: `numpy/numpy` **Score: 90/100 (A-)** · 20 findings · scanned 2026-05-16 12:55 UTC · 616,078 LOC | Severity | Count | |---|---| | CRITICAL | 0 | | HIGH | 2 | | MEDIUM | 10 | | LOW | 0 | 📊 [Full filterable report](https://repobility.com/scan/42d62344-be26-4abd-ae9b-1edcf3c5f360/) ·  ### Top findings 1. **HIGH** `SEC032` — Unrestricted File Upload — no extension/MIME validation `numpy/linalg/lapack_lite/make_lite.py:258` · CWE-434 2. **HIGH** `SEC013` — Path Traversal — User Input in File Path `numpy/linalg/lapack_lite/clapack_scrub.py:307` · A01:2021 Broken Access Control (path traversal) 3. **MEDIUM** `SEC031` — Catastrophic Backtracking Regex (ReDoS) `tools/c_coverage/c_coverage_report.py:119` · CWE-1333 4. **MEDIUM** `SEC007` — Unsafe Deserialization `numpy/_core/src/multiarray/methods.c:2110` · A08:2021 Software & Data Integrity Failures 5. **MEDIUM** `SEC007` — Unsafe Deserialization `numpy/_core/src/multiarray/multiarraymodule.c:2207` · A08:2021 Software & Data Integrity Failures --- **Security note**: this issue is public. If any flagged finding is a real, exploitable vulnerability, please redirect to your `SECURITY.md` policy or open a [private security advisory](https://docs.github.com/en/code-security/security-advisories/guidance-on-reporting-and-writing-information-about-vulnerabilities/privately-reporting-a-security-vulnerability) instead. We're happy to close this and re-submit privately. --- _Filed automatically. Close this issue if not useful — we won't refile. Full report: https://repobility.com/scan/42d62344-be26-4abd-ae9b-1edcf3c5f360/_
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