GitHub Advisoryadvisory · PyPI
GHSA-6556-fwc2-fg2p Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran._eval_length
MEDIUM
Official page ↗
- Aliases
- CVE-2025-71339
- Ecosystem
- PyPI
- Packages
- picklescan
- Severity
- Moderate
- CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N
- Weaknesses
- CWE-502, CWE-94
- Reviewed
- 2025-12-30
Affected packages
• PyPI picklescan: < 0.0.33 → fixed in 0.0.33
Description
Summary
Picklescan uses the `numpy.f2py.crackfortran._eval_length` function (a NumPy F2PY helper) to execute arbitrary Python code during unpickling.
Details
Picklescan fails to detect a malicious pickle that uses the gadget `numpy.f2py.crackfortran._eval_length` in `__reduce__`, allowing arbitrary command execution when the pickle is loaded. A crafted object returns this function plus attacker‑controlled arguments; the scan reports the file as safe, but pickle.load() triggers execution.
PoC
```python
class PoC:
def __reduce__(self):
from numpy.f2py.crackfortran import _eval_length
return _eval_length, ("__import__('os').system('whoami')", None)
```
Impact
• Arbitrary code execution on the victim machine once they load the “scanned as safe” pickle / model file.
• Affects any workflow relying on Picklescan to vet untrusted pickle / PyTorch artifacts.
• Enables supply‑chain poisoning of shared model files.
Credits
• ac0d3r
• Tong Liu, Institute of information engineering, CAS
Related
Alias · CVE (1)
- CVE-2025-71339 Picklescan before 0.0.33 fails to detect the numpy.f2py.crackfortran._eval_length gadget in pickle __reduce__ methods, allowing arbitrary… vulnerability
References
- https://github.com/mmaitre314/picklescan/security/advisories/GHSA-6556-fwc2-fg2p web
- https://nvd.nist.gov/vuln/detail/CVE-2025-71339 advisory
- https://github.com/mmaitre314/picklescan/pull/53 web
- https://github.com/mmaitre314/picklescan/commit/70c1c6c31beb6baaf52c8db1b6c3c0e84a6f9dab web
- https://github.com/advisories/GHSA-6556-fwc2-fg2p advisory
- https://github.com/mmaitre314/picklescan package
- https://github.com/mmaitre314/picklescan/releases/tag/v0.0.33 web
- https://github.com/pypa/advisory-database/tree/main/vulns/picklescan/PYSEC-2026-1783.yaml web
- https://pypi.org/project/picklescan web
- https://www.vulncheck.com/advisories/picklescan-arbitrary-code-execution-via-numpy-f2py-crackfortran-eval-length-gadget web