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CNVD-2025-23288

Vulnerability from cnvd - Published: 2025-10-10
VLAI
Title
PyTorch torch.linalg.lu组件存在未明漏洞
Description
PyTorch是PyTorch开源的一个Python包。 PyTorch torch.linalg.lu组件存在未明漏洞,攻击者可利用该漏洞导致拒绝服务。
Severity
Patch Name
PyTorch torch.linalg.lu组件存在未明漏洞的补丁
Patch Description
PyTorch是PyTorch开源的一个Python包。 PyTorch torch.linalg.lu组件存在未明漏洞,攻击者可利用该漏洞导致拒绝服务。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc

Reference
https://github.com/pytorch/pytorch/issues/151401
Impacted products
Name
Pytorch Pytorch 2.8.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-55551",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-55551"
    }
  },
  "description": "PyTorch\u662fPyTorch\u5f00\u6e90\u7684\u4e00\u4e2aPython\u5305\u3002\n\nPyTorch torch.linalg.lu\u7ec4\u4ef6\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-23288",
  "openTime": "2025-10-10",
  "patchDescription": "PyTorch\u662fPyTorch\u5f00\u6e90\u7684\u4e00\u4e2aPython\u5305\u3002\r\n\r\nPyTorch torch.linalg.lu\u7ec4\u4ef6\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "PyTorch torch.linalg.lu\u7ec4\u4ef6\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Pytorch Pytorch 2.8.0"
  },
  "referenceLink": "https://github.com/pytorch/pytorch/issues/151401",
  "serverity": "\u9ad8",
  "submitTime": "2025-09-28",
  "title": "PyTorch torch.linalg.lu\u7ec4\u4ef6\u5b58\u5728\u672a\u660e\u6f0f\u6d1e"
}



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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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

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