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🐍 PyPI

GHSA-9fq2-x9r6-wfmf

CRITICALFix: numpy/numpy#12889

GHSA-9fq2-x9r6-wfmf is a critical-severity (CVSS 9.8) Deserialization of Untrusted Data vulnerability in numpy. 4 public exploit references exist, so weaponization risk is real. O3 Security confirms whether GHSA-9fq2-x9r6-wfmf is actually reachable in your code before you act, and blocks exploitation at runtime until you patch.

Numpy Deserialization of Untrusted Data

Also known asCVE-2019-6446PYSEC-2019-108
Published
May 24, 2022
Updated
Jul 6, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
4 known

Real-World Exposure

1 pkg affected
🐍numpy

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

** DISPUTED ** An issue was discovered in NumPy 1.16.2 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPInumpyall versions1.16.3
Exploits & PoCs
4

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for numpy. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update numpy to 1.16.3 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-9fq2-x9r6-wfmf is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-9fq2-x9r6-wfmf is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-9fq2-x9r6-wfmf. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

** DISPUTED ** An issue was discovered in NumPy 1.16.2 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.
O3 Security · Impact-Aware SCA

Is GHSA-9fq2-x9r6-wfmf in your dependencies?

O3 detects GHSA-9fq2-x9r6-wfmf across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.