https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-03T14:26:18.852911+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/cve-2026-24747 CVE-2026-24747 — PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files 2026-10-03T14:26:18.885046+00:00

Affected: pytorch, Red Hat OpenShift AI 2.25, Red Hat OpenShift AI (RHOAI)

PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.

 https://cve.radiocsirt.org/vuln/ghsa-63cw-57p8-fm3p GHSA-63cw-57p8-fm3p — PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files 2026-10-03T14:26:18.885118+00:00

Affected: PyPI: pytorch

### Summary

A vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution.

### Vulnerability Details

The `weights_only=True` unpickler failed to properly validate pickle opcodes and storage metadata, allowing:

1. **Heap memory corruption** via `SETITEM`/`SETITEMS` opcodes applied to non-dictionary types 2. **Storage size mismatch** between declared element count and actual data in the archive

### Impact

An attacker who can convince a user to load a malicious checkpoint file may achieve arbitrary code execution in the context of the victim's process.

# Credit Ji'an Zhou