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CNVD-2017-37827

Vulnerability from cnvd - Published: 2017-12-22
VLAI
Title
npm/KyleRoss windows-cpu命令注入漏洞
Description
npm/KyleRoss windows-cpu是美国软件开发者KyleRoss开发的一套使用在Windows平台上的CPU监控程序。 npm/KyleRoss windows-cpu中存在命令注入漏洞。攻击者可利用该漏洞以Node.js用户身份执行代码。
Severity
Formal description

厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://www.npmjs.com/package/windows-cpu

Reference
https://nodesecurity.io/advisories/336
Impacted products
Name
['windows-cpu_project windows-cpu 0.1.1', 'windows-cpu_project windows-cpu 0.1.2']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-1000219"
    }
  },
  "description": "npm/KyleRoss windows-cpu\u662f\u7f8e\u56fd\u8f6f\u4ef6\u5f00\u53d1\u8005KyleRoss\u5f00\u53d1\u7684\u4e00\u5957\u4f7f\u7528\u5728Windows\u5e73\u53f0\u4e0a\u7684CPU\u76d1\u63a7\u7a0b\u5e8f\u3002\r\n\r\nnpm/KyleRoss windows-cpu\u4e2d\u5b58\u5728\u547d\u4ee4\u6ce8\u5165\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5Node.js\u7528\u6237\u8eab\u4efd\u6267\u884c\u4ee3\u7801\u3002",
  "discovererName": "Daniel Bond",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.npmjs.com/package/windows-cpu",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-37827",
  "openTime": "2017-12-22",
  "products": {
    "product": [
      "windows-cpu_project windows-cpu 0.1.1",
      "windows-cpu_project windows-cpu 0.1.2"
    ]
  },
  "referenceLink": "https://nodesecurity.io/advisories/336",
  "serverity": "\u9ad8",
  "submitTime": "2017-11-22",
  "title": "npm/KyleRoss windows-cpu\u547d\u4ee4\u6ce8\u5165\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.
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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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