Deserialization of Untrusted Data Affecting picklescan package, versions [,0.0.33)
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learning- Snyk IDSNYK-PYTHON-PICKLESCAN-14724493
- published30 Dec 2025
- disclosed29 Dec 2025
- creditPinji Chen
Introduced: 29 Dec 2025
CVE-2025-71365 (opens in a new tab)How to fix?
Upgrade picklescan to version 0.0.33 or higher.
Overview
picklescan is a Security scanner detecting Python Pickle files performing suspicious actions
Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to using the numpy.f2py.crackfortran.myeval function, which executes a remote pickle file. An attacker can execute arbitrary code by crafting a malicious pickle file that leverages this function during deserialization.
PoC
class RCE:
def __reduce__(self):
from numpy.f2py.crackfortran import myeval
return (myeval, ("os.system('ls')",))