CVE-2025-55552: n/a
PyTorch version 2.8.0 exhibits unexpected behavior when the functions torch.rot90 and torch.randn_like are used together. This issue does not impact confidentiality or integrity but may cause availability problems. The vulnerability is classified under CWE-682 (Incorrect Calculation). No official patch or remediation details are currently available.
AI Analysis
Technical Summary
CVE-2025-55552 identifies a vulnerability in PyTorch v2.8.0 where the combined use of torch.rot90 and torch.randn_like leads to unexpected behavior. The CVSS score is 5.3 with an impact limited to availability (denial of service or similar). There is no indication of exploitation in the wild or a vendor patch at this time.
Potential Impact
The vulnerability affects availability only, potentially causing denial of service or application instability when torch.rot90 and torch.randn_like are used together. There is no impact on confidentiality or integrity.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, avoid using torch.rot90 and torch.randn_like together in PyTorch v2.8.0 if possible.
CVE-2025-55552: n/a
Description
PyTorch version 2.8.0 exhibits unexpected behavior when the functions torch.rot90 and torch.randn_like are used together. This issue does not impact confidentiality or integrity but may cause availability problems. The vulnerability is classified under CWE-682 (Incorrect Calculation). No official patch or remediation details are currently available.
CVSS v3.1
Score 5.3medium
Affected software
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2025-55552 identifies a vulnerability in PyTorch v2.8.0 where the combined use of torch.rot90 and torch.randn_like leads to unexpected behavior. The CVSS score is 5.3 with an impact limited to availability (denial of service or similar). There is no indication of exploitation in the wild or a vendor patch at this time.
Potential Impact
The vulnerability affects availability only, potentially causing denial of service or application instability when torch.rot90 and torch.randn_like are used together. There is no impact on confidentiality or integrity.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, avoid using torch.rot90 and torch.randn_like together in PyTorch v2.8.0 if possible.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2025-08-13T00:00:00.000Z
- State
- PUBLISHED
Threat ID: 68d5da079e21be37e937d085
Added to database: 09/26/2025, 00:10:47 UTC
Last enriched: 09/08/2026, 13:22:22 UTC
Last updated: 09/10/2026, 19:24:57 UTC
Views: 210
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