GHSA-XHF5-3R9V-MM67

Vulnerability from github – Published: 2025-08-19 15:31 – Updated: 2025-08-19 21:30
VLAI
Details

A deserialization vulnerability exists in Volcengine's verl 3.0.0, specifically in the scripts/model_merger.py script when using the "fsdp" backend. The script calls torch.load() with weights_only=False on user-supplied .pt files, allowing attackers to execute arbitrary code if a maliciously crafted model file is loaded. An attacker can exploit this by convincing a victim to download and place a malicious model file in a local directory with a specific filename pattern. This vulnerability may lead to arbitrary code execution with the privileges of the user running the script.

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{
  "affected": [],
  "aliases": [
    "CVE-2025-50461"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-77"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-08-19T14:15:39Z",
    "severity": "MODERATE"
  },
  "details": "A deserialization vulnerability exists in Volcengine\u0027s verl 3.0.0, specifically in the scripts/model_merger.py script when using the \"fsdp\" backend. The script calls torch.load() with weights_only=False on user-supplied .pt files, allowing attackers to execute arbitrary code if a maliciously crafted model file is loaded. An attacker can exploit this by convincing a victim to download and place a malicious model file in a local directory with a specific filename pattern. This vulnerability may lead to arbitrary code execution with the privileges of the user running the script.",
  "id": "GHSA-xhf5-3r9v-mm67",
  "modified": "2025-08-19T21:30:36Z",
  "published": "2025-08-19T15:31:29Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-50461"
    },
    {
      "type": "WEB",
      "url": "https://github.com/Anchor0221/CVE-2025-50461"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pytorch/pytorch/blob/main/SECURITY.md#loading-untrusted-data"
    },
    {
      "type": "WEB",
      "url": "https://github.com/volcengine/verl"
    },
    {
      "type": "WEB",
      "url": "https://github.com/volcengine/verl/blob/main/scripts/model_merger.py#L152"
    },
    {
      "type": "WEB",
      "url": "https://pytorch.org/docs/stable/generated/torch.load.html"
    }
  ],
  "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:N",
      "type": "CVSS_V3"
    }
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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