GitHub Advisoryadvisory · PyPI

GHSA-vqmv-47xg-9wpr Picklescan missing detection when calling pty.spawn

HIGH Published 2025-12-29 Modified 2025-12-29 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