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TI-2025-02613 Aliases CVE-2025-2998GHSA-f4hp-rmr7-r7v8

PyTorch torch.nn.utils.rnn.pad_packed_sequence 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
Low · Low · Low
Fix status
No fix listed

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

Summary

A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. 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 0.00202 10th 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
—torch (PyPI)up to 2.6.0—No fix listedGHSA-f4hp-rmr7-r7v8
  • PyTorch Vendor— Affected 2.6.0 Fixed in — No fix listed CNA
  • torch (PyPI) Vendor— Affected up to 2.6.0 Fixed in — No fix listed GHSA-f4hp-rmr7-r7v8

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.

Timeline

  1. 2026-10-02 Threatist record created from CVE-2025-2998
  2. 2026-10-03 Alias added: GHSA-f4hp-rmr7-r7v8

References

  • 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