GHSA-7G5W-PQ96-8C5W

Vulnerability from github – Published: 2026-05-11 18:31 – Updated: 2026-05-18 15:22
VLAI
Summary
flash-attention contains an insecure deserialization vulnerability in its checkpoint loading mechanism
Details

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.

Show details on source website

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "flash_attn"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "last_affected": "2.8.3"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-31253"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-94"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-05-18T15:22:20Z",
    "nvd_published_at": "2026-05-11T17:16:20Z",
    "severity": "HIGH"
  },
  "details": "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\u0027s system.",
  "id": "GHSA-7g5w-pq96-8c5w",
  "modified": "2026-05-18T15:22:20Z",
  "published": "2026-05-11T18:31:44Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-31253"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/Dao-AILab/flash-attention"
    },
    {
      "type": "WEB",
      "url": "https://www.notion.so/CVE-2026-31253-35d1e1393188813f9e77e2038104bc49"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ],
  "summary": "flash-attention contains an insecure deserialization vulnerability in its checkpoint loading mechanism"
}


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