PyTorch Tuple torch.ops.profiler._call_end_callbacks_on_jit_fut memory corruption (CVE-2025-2148)
A critical vulnerability exists in PyTorch versions 2.6.0 up to but not including 2.7.0 in the function torch.ops.profiler._call_end_callbacks_on_jit_fut. The vulnerability involves memory corruption triggered by manipulation of the argument None. Exploitation is possible remotely but is considered difficult due to high attack complexity. The vulnerability has a low severity rating according to the source database. A patch is available to address this issue.
AI Analysis
Technical Summary
The vulnerability CVE-2025-2148 affects PyTorch 2.6.0 through versions before 2.7.0 in the Tuple Handler component, specifically the function torch.ops.profiler._call_end_callbacks_on_jit_fut. Manipulating the argument None in this function can cause memory corruption. Although the attack can be launched remotely, it requires high complexity and is difficult to exploit. The vulnerability is classified as low severity by the source database, and a patch is available to remediate the issue.
Potential Impact
Successful exploitation of this vulnerability could lead to memory corruption in affected PyTorch versions. The impact severity is rated low, and there are no known exploits in the wild. The attack complexity is high, making exploitation difficult.
Mitigation Recommendations
A patch is available for this vulnerability. Users should upgrade PyTorch to version 2.7.0 or later to remediate the issue. No additional mitigation steps are indicated by the vendor advisory.
PyTorch Tuple torch.ops.profiler._call_end_callbacks_on_jit_fut memory corruption (CVE-2025-2148)
Description
A critical vulnerability exists in PyTorch versions 2.6.0 up to but not including 2.7.0 in the function torch.ops.profiler._call_end_callbacks_on_jit_fut. The vulnerability involves memory corruption triggered by manipulation of the argument None. Exploitation is possible remotely but is considered difficult due to high attack complexity. The vulnerability has a low severity rating according to the source database. A patch is available to address this issue.
Affected software
Run on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability CVE-2025-2148 affects PyTorch 2.6.0 through versions before 2.7.0 in the Tuple Handler component, specifically the function torch.ops.profiler._call_end_callbacks_on_jit_fut. Manipulating the argument None in this function can cause memory corruption. Although the attack can be launched remotely, it requires high complexity and is difficult to exploit. The vulnerability is classified as low severity by the source database, and a patch is available to remediate the issue.
Potential Impact
Successful exploitation of this vulnerability could lead to memory corruption in affected PyTorch versions. The impact severity is rated low, and there are no known exploits in the wild. The attack complexity is high, making exploitation difficult.
Mitigation Recommendations
A patch is available for this vulnerability. Users should upgrade PyTorch to version 2.7.0 or later to remediate the issue. No additional mitigation steps are indicated by the vendor advisory.
Technical Details
- Gcve Source
- db.gcve.eu
- Osv Id
- BIT-pytorch-2025-2148
- Osv Schema Version
- 1.6.2
- Aliases
- ["CVE-2025-2148"]
- Ecosystems
- ["Bitnami"]
- Database Specific Severity
- Low
Threat ID: 6aa005ceacd9273b49ab5e20
Added to database: 09/08/2026, 12:55:42 UTC
Last enriched: 09/08/2026, 13:24:34 UTC
Last updated: 09/10/2026, 19:36:49 UTC
Views: 4
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.