Description (CNA)
The flash-attention training framework thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 (2025-13-04) contains an insecure deserialization vulnerability (CWE-502) in its checkpoint loading mechanism. The load_checkpoint() function in checkpoint.py and the checkpoint loading code in eval.py use torch.load() without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by providing a maliciously crafted checkpoint file. When a victim loads this checkpoint during model warmstarting or evaluation, arbitrary code is executed on the victim's system.
Affected (CNA)
| Vendor / product | Versions |
|---|---|
| n/a / n/a | affected n/a |
CWE
No CWE identifiers supplied.
References
- https://github.com/Dao-AILab/flash-attention
- https://www.notion.so/CVE-2026-31253-35d1e1393188813f9e77e2038104bc49
ADP enrichment
No English description supplied.
No references supplied.