Vulnerability 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.
CVSS Score
HIGH
Related Weaknesses (CWE)
References
- https://github.com/Dao-AILab/flash-attention
- https://www.notion.so/CVE-2026-31253-35d1e1393188813f9e77e2038104bc49
FAQ
What is CVE-2026-31253?
CVE-2026-31253 is a vulnerability with a CVSS score of 7.3 (HIGH). The flash-attention training framework thru commit e724e2588cbe754beb97cf7c011b5e7e34119e62 (2025-13-04) contains an insecure deserialization vulnerability (CWE-502) in its checkpoint loading mechanis...
How severe is CVE-2026-31253?
CVE-2026-31253 has been rated HIGH with a CVSS base score of 7.3/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-31253?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.