PT-2025-55495

تاريخ النشر

2025-12-29

تاريخ التحديث

2025-12-29

الوصف من

الدرجة

N/A

غير متوفر

لا تتوفر حاليًا تقييمات أو مقاييس للخطورة. سنحدّث المعلومات المقابلة في الصفحة فور توفرها.

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.