9.8
CVE-2026-31214
- EPSS 0.49%
- Veröffentlicht 12.05.2026 00:00:00
- Zuletzt bearbeitet 13.05.2026 15:51:52
- Quelle cve@mitre.org
- CVE-Watchlists
- Unerledigt
The torch-checkpoint-shrink.py script in the ml-engineering project in commit 0099885db36a8f06556efe1faf552518852cb1e0 (2025-20-27) contains an insecure deserialization vulnerability (CWE-502). The script uses torch.load() to process PyTorch checkpoint files (.pt) without enabling the security-restrictive weights_only=True parameter. This oversight allows the deserialization of arbitrary Python objects via the pickle module. A remote attacker can exploit this by providing a maliciously crafted checkpoint file, leading to arbitrary code execution in the context of the user running the script.
Daten sind bereitgestellt durch das CVE Programm von einer CVE Numbering Authority (CNA) (Unstrukturiert).
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Login| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.49% | 0.38 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | 9.8 | 3.9 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
|
CWE-502 Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
https://github.com/stas00/ml-engineering/blob/master/training/checkpoints/torch-checkpoint-shrink.py#L57
https://www.notion.so/CVE-2026-31214-35d1e1393188813fa40eef73c174cee5