PyTorch torch.jit.jit_module_from_flatbuffer memory corruption (CVE-2025-3121)
A memory corruption vulnerability exists in PyTorch version 2.6.0 in the function torch.jit.jit_module_from_flatbuffer. Exploitation requires local access. The vulnerability has been publicly disclosed and a patch is available. The severity is assessed as medium.
AI Analysis
Technical Summary
CVE-2025-3121 is a memory corruption vulnerability affecting the torch.jit.jit_module_from_flatbuffer function in PyTorch 2.6.0. The vulnerability requires local access to exploit and has been publicly disclosed. The issue is classified as medium severity and a patch is available to remediate the flaw. No CVSS score is provided.
Potential Impact
Successful exploitation of this vulnerability can lead to memory corruption on the affected system. Local access is required to trigger the vulnerability, limiting the attack surface. There are no known exploits in the wild at this time.
Mitigation Recommendations
A patch is available for this vulnerability. Users should update PyTorch to a fixed version beyond 2.6.0 to remediate the issue. No additional mitigation guidance is provided or required.
PyTorch torch.jit.jit_module_from_flatbuffer memory corruption (CVE-2025-3121)
Description
A memory corruption vulnerability exists in PyTorch version 2.6.0 in the function torch.jit.jit_module_from_flatbuffer. Exploitation requires local access. The vulnerability has been publicly disclosed and a patch is available. The severity is assessed as medium.
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-3121 is a memory corruption vulnerability affecting the torch.jit.jit_module_from_flatbuffer function in PyTorch 2.6.0. The vulnerability requires local access to exploit and has been publicly disclosed. The issue is classified as medium severity and a patch is available to remediate the flaw. No CVSS score is provided.
Potential Impact
Successful exploitation of this vulnerability can lead to memory corruption on the affected system. Local access is required to trigger the vulnerability, limiting the attack surface. There are no known exploits in the wild at this time.
Mitigation Recommendations
A patch is available for this vulnerability. Users should update PyTorch to a fixed version beyond 2.6.0 to remediate the issue. No additional mitigation guidance is provided or required.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- BIT-pytorch-2025-3121
- Osv Schema Version
- 1.6.2
- Aliases
- ["CVE-2025-3121"]
- Ecosystems
- ["Bitnami"]
- Database Specific Severity
- Medium
Threat ID: 6aa005ceacd9273b49ab5e12
Added to database: 09/08/2026, 12:55:42 UTC
Last enriched: 09/08/2026, 13:23:39 UTC
Last updated: 09/10/2026, 19:36:50 UTC
Views: 4
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