dao-ailab/flash-attention · Security
flash-attention contains an insecure deserialization vulnerability in its checkpoint loading mechanism
- GHSA ID
- GHSA-7g5w-pq96-8c5w
- CVE ID
- CVE-2026-31253
- Severity
- high
- Published
- Updated
- CVSS
- 7.3 · CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
- CVSS v3
- 7.3 · CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
Description
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.
CWEs
- CWE-94 · Improper Control of Generation of Code ('Code Injection')
- CWE-502 · Deserialization of Untrusted Data