LowVulnerability

CVE-2025-3121: PyTorch memory corruption in torch.jit.jit_module_from_flatbuffer

Source: NVD(opens in a new tab)
Identifier: CVE-2025-3121
Published: April 2, 2025
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.3%

Summary

CVE-2025-3121 is a flaw in PyTorch 2.6.0, specifically in the function torch.jit.jit_module_from_flatbuffer, that leads to memory corruption. Exploitation requires local access, and the source notes the exploit has been publicly disclosed and may be used. VulDB rates it CVSS 4.0 4.8 (MEDIUM), while NIST has not yet provided an assessment.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 3.3(low)
EPSS: 0.3%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-119
Attack pattern (CAPEC): CAPEC-100

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Availability
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2025-3121

First tracked: February 15, 2026 at 08:37 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 90% (self-assessed)

Summary

Mitigation

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