# CVE-2025-3121: PYSEC-2025-196 - A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function…

Source: https://junglewise.ai/threats/cve-2025-3121-pysec-2025-196-a-vulnerability-classified-as-problematic-has-been  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2025-04-02  
License: CC BY 4.0 with a link back

CVE-2025-3121 · Severity: low · CVSS 3.1 · Published 2025-04-02

A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.

Technologies: [torch (PyPI)](https://junglewise.ai/threats/technologies/torch). Vendors: [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2025-3121 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2025-3121 being exploited in the wild.

**How severe is CVE-2025-3121?** Low severity, with a CVSS score of 3.1, published 2 April 2025.

**Which products and versions are affected?** torch (PyPI) ECOSYSTEM:introduced=0,last_affected=2.6.0-NA.

**Is there a fix for CVE-2025-3121?** No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.

**Am I affected by CVE-2025-3121?** Check whether you run torch (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## Affected products

- torch (PyPI) ECOSYSTEM:introduced=0,last_affected=2.6.0-NA

## Identifiers

- CVE-2025-3121
- PYSEC-2025-196

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