fkie_cve-2025-24357
Vulnerability from fkie_nvd
Published
2025-01-27 18:15
Modified
2025-06-27 19:30
Summary
vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0.
Impacted products
Vendor Product Version
vllm vllm *



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    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "78210BFE-5D31-4D84-BA73-75C1594A3A3C",
              "versionEndExcluding": "0.7.0",
              "vulnerable": true
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          "operator": "OR"
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  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "vLLM is a library for LLM inference and serving. vllm/model_executor/weight_utils.py implements hf_model_weights_iterator to load the model checkpoint, which is downloaded from huggingface. It uses the torch.load function and the weights_only parameter defaults to False. When torch.load loads malicious pickle data, it will execute arbitrary code during unpickling. This vulnerability is fixed in v0.7.0."
    },
    {
      "lang": "es",
      "value": "vLLM es una librer\u00eda para la inferencia y el servicio de LLM. vllm/model_executor/weight_utils.py implementa hf_model_weights_iterator para cargar el punto de control del modelo, que se descarga desde huggingface. Utiliza la funci\u00f3n Torch.load y el par\u00e1metro weights_only tiene el valor predeterminado Falso. Cuando Torch.load carga datos pickle maliciosos, ejecutar\u00e1 c\u00f3digo arbitrario durante el desensamblaje. Esta vulnerabilidad se corrigi\u00f3 en la versi\u00f3n v0.7.0."
    }
  ],
  "id": "CVE-2025-24357",
  "lastModified": "2025-06-27T19:30:59.223",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 1.6,
        "impactScore": 5.9,
        "source": "security-advisories@github.com",
        "type": "Secondary"
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          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.1"
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        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
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  "published": "2025-01-27T18:15:41.523",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Patch"
      ],
      "url": "https://github.com/vllm-project/vllm/commit/d3d6bb13fb62da3234addf6574922a4ec0513d04"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
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      "url": "https://github.com/vllm-project/vllm/pull/12366"
    },
    {
      "source": "security-advisories@github.com",
      "tags": [
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      "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-rh4j-5rhw-hr54"
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      "source": "security-advisories@github.com",
      "tags": [
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      "url": "https://pytorch.org/docs/stable/generated/torch.load.html"
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  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
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      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Primary"
    }
  ]
}


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  • Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
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