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TI-2025-02726 Aliases CVE-2025-3121GHSA-qcc7-ch57-rh8j

PyTorch torch.jit.jit_module_from_flatbuffer memory corruption

Priority MEDIUM 55CWE-119Published · Updated

Key facts

Attack vector
Local
Privileges required
Low
User interaction
None
Attack complexity
Low
Attack requirements
None
Impact type
—
Confidentiality · integrity · availability
None · None · Low
Fix status
No fix listed

Attack profile from CVSS 4.0 · CNA. Fix status from CNA.

Summary

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.

Why it matters now

Exploitation Proof of concept CISA SSVC · not in CISA KEV
EPSS 0.0028 20th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by the CNA
Fix No fix listed No fixed version in the sources yet

SSVC decision points

CISA ADP · SSVC 2.0.3

Exploitation
Poc
Automatable
No
Technical impact
Partial

The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.

Affected products

VendorProductAffected versionsFixed inStatusSource
—PyTorch2.6.0—No fix listedCNA
  • PyTorch Vendor— Affected 2.6.0 Fixed in — No fix listed CNA

CPE configurations NVD · 1

CPEVersionsRoleVendor
cpe:2.3:a:linuxfoundation:pytorch:2.6.0:-:*:*:*:python:*:*2.6.0Vulnerablebackstage
  • cpe:2.3:a:linuxfoundation:pytorch:2.6.0:-:*:*:*:python:*:* Versions 2.6.0 Vulnerable ·backstage

Remediation

No fixed version listed by the sources yet.

Vendor assessments

Red Hat

Red Hat's page for this CVE →

Not affected: 1 product
  • Red Hat

Timeline

  1. 2026-10-02 Threatist record created from CVE-2025-3121
  2. 2026-10-03 Alias added: GHSA-qcc7-ch57-rh8j

References

Exploit 1

Advisory 1

  • TI-2024-32257 In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. CVSS 3.1CRITICAL 9.8
  • TI-2025-35037 A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and… CVSS 3.1HIGH 7.5
  • TI-2025-35034 A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS). CVSS 3.1HIGH 7.5
  • TI-2025-35033 pytorch v2.8.0 was discovered to display unexpected behavior when the components… CVSS 3.1HIGH 7.5
  • TI-2025-35032 An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a… CVSS 3.1HIGH 7.5
  • TI-2025-35038 A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of… CVSS 3.1HIGH 7.5
See all 30 →

Sources

This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences