CNVD-2019-08971

Vulnerability from cnvd - Published: 2019-04-03
VLAI
Title
kubectl路径遍历漏洞
Description
kubectl是一款用于运行针对Kubernetes集群的命令的命令行程序。 kubectl中存在路径遍历漏洞,该漏洞源于网络系统或产品未能正确地过滤资源或文件路径中的特殊元素,攻击者可利用该漏洞访问受限目录之外的位置。
Severity
Patch Name
kubectl路径遍历漏洞的补丁
Patch Description
kubectl是一款用于运行针对Kubernetes集群的命令的命令行程序。 kubectl中存在路径遍历漏洞,该漏洞源于网络系统或产品未能正确地过滤资源或文件路径中的特殊元素,攻击者可利用该漏洞访问受限目录之外的位置。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

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/kubernetes/kubernetes/commit/b1f85e2dfec6e64d8e1bc272251277df0058ab20

Reference
https://github.com/kubernetes/kubernetes/pull/75037 http://www.securityfocus.com/bid/107652 https://nvd.nist.gov/vuln/detail/CVE-2019-1002101
Impacted products
Name
['kubectl kubectl 1.11.9', 'kubectl kubectl 1.12.7', 'kubectl kubectl 1.13.5', 'kubectl kubectl 1.14.0']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "107652"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-1002101"
    }
  },
  "description": "kubectl\u662f\u4e00\u6b3e\u7528\u4e8e\u8fd0\u884c\u9488\u5bf9Kubernetes\u96c6\u7fa4\u7684\u547d\u4ee4\u7684\u547d\u4ee4\u884c\u7a0b\u5e8f\u3002\n\nkubectl\u4e2d\u5b58\u5728\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u80fd\u6b63\u786e\u5730\u8fc7\u6ee4\u8d44\u6e90\u6216\u6587\u4ef6\u8def\u5f84\u4e2d\u7684\u7279\u6b8a\u5143\u7d20\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u53d7\u9650\u76ee\u5f55\u4e4b\u5916\u7684\u4f4d\u7f6e\u3002",
  "discovererName": "Ariel Zelivansky",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/kubernetes/kubernetes/commit/b1f85e2dfec6e64d8e1bc272251277df0058ab20",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-08971",
  "openTime": "2019-04-03",
  "patchDescription": "kubectl\u662f\u4e00\u6b3e\u7528\u4e8e\u8fd0\u884c\u9488\u5bf9Kubernetes\u96c6\u7fa4\u7684\u547d\u4ee4\u7684\u547d\u4ee4\u884c\u7a0b\u5e8f\u3002\r\n\r\nkubectl\u4e2d\u5b58\u5728\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u80fd\u6b63\u786e\u5730\u8fc7\u6ee4\u8d44\u6e90\u6216\u6587\u4ef6\u8def\u5f84\u4e2d\u7684\u7279\u6b8a\u5143\u7d20\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u53d7\u9650\u76ee\u5f55\u4e4b\u5916\u7684\u4f4d\u7f6e\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": "kubectl\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "kubectl kubectl 1.11.9",
      "kubectl kubectl 1.12.7",
      "kubectl kubectl 1.13.5",
      "kubectl kubectl 1.14.0"
    ]
  },
  "referenceLink": "https://github.com/kubernetes/kubernetes/pull/75037\r\nhttp://www.securityfocus.com/bid/107652\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2019-1002101",
  "serverity": "\u4e2d",
  "submitTime": "2019-04-03",
  "title": "kubectl\u8def\u5f84\u904d\u5386\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 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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Related by attack behaviour

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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