PT-2025-55495 · Pypi · Picklescan
Published
2025-12-29
·
Updated
2025-12-29
None
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Summary
Picklescan uses numpy.f2py.crackfortran.param eval, which is a function in numpy to execute remote pickle files.
Details
The attack payload executes in the following steps:
- First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.param eval function via reduce method.
- Then, when the victim checks whether the pickle file is safe by using the Picklescan library and this library doesn't detect any dangerous functions, they decide to use pickle.load() on this malicious pickle file, thus leading to remote code execution.
PoC
class RCE:
def reduce (self):
from numpy.f2py.crackfortran import param eval
return (param eval,("os.system('ls')",None,None,None))Impact
Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models.
Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded.
Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.
Report by
Pinji Chen (cpj24@mails.tsinghua.edu.cn) from the NISL lab (https://netsec.ccert.edu.cn/about) at Tsinghua University, Guanheng Liu (coolwind326@gmail.com).
Deserialization of Untrusted Data
Code Injection
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Related Identifiers
Affected Products
Picklescan