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Fencer Intel
high —

GHSA-vqmv-47xg-9wpr json

Picklescan missing detection when calling pty.spawn

published 10mo ago modified 10mo ago

cvss
—
not scored
cisa kev
Not listed
not in CISA's catalog
epss
—
no score, EPSS covers CVEs only
public exploits
0
none known

Summary

### Summary Using pty.spawn, which is a built-in python library function to execute arbitrary commands on the host system.

### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to `pty.spawn` function in the `__reduce__` method. Then the victim attempts to use picklescan to scan the pickle file for issues and sees this - ``` ----------- SCAN SUMMARY ----------- Scanned files: 1 Infected files: 0 Dangerous globals: 0 ``` The victim proceeds to load the pickle file and execute attacker-injected arbitrary code.

### PoC ``` class PtyExploit: def __reduce__(self): return (pty.spawn, (["/bin/sh", "-c", "id; exit"],)) ```

### 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.

### Collaborators https://github.com/ajohnston9 https://github.com/geo-lit

Patch / fix

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Affected packages

ecosystem package affected fixed in
pypi picklescan
<0.0.33
0.0.33

Classification

Weakness
  • CWE-502 Deserialization of Untrusted Data

References

Sources

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