PT-2025-35524 · Pypi · Picklescan
Publicado
2025-08-22
·
Atualizado
2025-08-22
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Summary
Using torch.utils.bottleneck. main .run cprofile
function, which is a pytorch library function to execute remote pickle file.
Details
The attack payload executes in the following steps:
First, the attacker craft the payload by calling to torch.utils.bottleneck. main .run cprofile
function in reduce method
Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.
PoC
import torch.utils.bottleneck. main as bottleneck main
class EvilTorchUtilsBottleneckRunCprofile:
def reduce (self):
code = ' import ("os").system("whoami")'
globs = {}
return bottleneck main.run cprofile, (code, globs)Impact
Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models.
What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded.
Supply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.
Corresponding
Insufficient Verification of Data Authenticity
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Picklescan