LowVulnerability

CVE-2025-3136: PyTorch memory corruption in caching_allocator_delete via local attack

Source: NVD(opens in a new tab)
Identifier: CVE-2025-3136
Published: April 3, 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-2025-3136 is a locally exploitable vulnerability in PyTorch 2.6.0, classified as problematic by VulDB. It affects the function torch.cuda.memory.caching_allocator_delete in c10/cuda/CUDACachingAllocator.cpp and leads to memory corruption. An attacker must have local access, and a public exploit has been disclosed and may be used.

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 3, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-119
CWE-787
Attack pattern (CAPEC): CAPEC-100

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Integrity
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-2025-3136

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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