CVE-2025-55554: n/a
PyTorch version 2.8.0 contains an integer overflow vulnerability in the torch.nan_to_num-.long() component. This vulnerability has a medium severity CVSS score of 5.3 and could impact availability. There are no known exploits in the wild and no information about patches or fixes is currently available.
AI Analysis
Technical Summary
CVE-2025-55554 identifies an integer overflow vulnerability in the torch.nan_to_num-.long() function of PyTorch version 2.8.0. The flaw could cause an availability impact but does not affect confidentiality or integrity. The CVSS 3.1 vector indicates the vulnerability is remotely exploitable without privileges or user interaction. No exploits have been reported, and no patch or remediation details are currently provided.
Potential Impact
The vulnerability may lead to denial of service or other availability issues in PyTorch 2.8.0 when processing certain inputs through the torch.nan_to_num-.long() function. Confidentiality and integrity are not impacted. There are no known active exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should consider avoiding use of the affected function or version if feasible.
CVE-2025-55554: n/a
Description
PyTorch version 2.8.0 contains an integer overflow vulnerability in the torch.nan_to_num-.long() component. This vulnerability has a medium severity CVSS score of 5.3 and could impact availability. There are no known exploits in the wild and no information about patches or fixes is currently available.
CVSS v3.1
Score 5.3medium
Affected software
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-55554 identifies an integer overflow vulnerability in the torch.nan_to_num-.long() function of PyTorch version 2.8.0. The flaw could cause an availability impact but does not affect confidentiality or integrity. The CVSS 3.1 vector indicates the vulnerability is remotely exploitable without privileges or user interaction. No exploits have been reported, and no patch or remediation details are currently provided.
Potential Impact
The vulnerability may lead to denial of service or other availability issues in PyTorch 2.8.0 when processing certain inputs through the torch.nan_to_num-.long() function. Confidentiality and integrity are not impacted. There are no known active exploits in the wild at this time.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should consider avoiding use of the affected function or version if feasible.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2025-08-13T00:00:00.000Z
- State
- PUBLISHED
Threat ID: 68d5da079e21be37e937d08e
Added to database: 09/26/2025, 00:10:47 UTC
Last enriched: 09/08/2026, 13:22:01 UTC
Last updated: 09/10/2026, 19:36:51 UTC
Views: 169
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