CNVD-2021-40156

Vulnerability from cnvd - Published: 2021-06-08
VLAI
Title
Redhat redhat-certification访问控制错误漏洞
Description
Red Hat Certification是美国Red Hat公司的一个软件包。 Redhat redhat-certification 7中存在访问控制错误漏洞,该漏洞源于不能适当地限制XML文档中实体的递归定义的数量。攻击者可利用该漏洞消耗服务器的所有内存并导致拒绝服务。
Severity
中
Patch Name
Redhat redhat-certification访问控制错误漏洞的补丁
Patch Description
Red Hat Certification是美国Red Hat公司的一个软件包。 Redhat redhat-certification 7中存在访问控制错误漏洞,该漏洞源于不能适当地限制XML文档中实体的递归定义的数量。攻击者可利用该漏洞消耗服务器的所有内存并导致拒绝服务。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

目前厂商已发布升级补丁以修复漏洞,详情请关注厂商主页: https://bugzilla.redhat.com/show_bug.cgi?id=1593776

Reference
https://bugzilla.redhat.com/show_bug.cgi?id=1593776
Impacted products
Name
Red Hat Redhat redhat-certification 7
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-10868",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2018-10868"
    }
  },
  "description": "Red Hat Certification\u662f\u7f8e\u56fdRed Hat\u516c\u53f8\u7684\u4e00\u4e2a\u8f6f\u4ef6\u5305\u3002\n\nRedhat redhat-certification 7\u4e2d\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4e0d\u80fd\u9002\u5f53\u5730\u9650\u5236XML\u6587\u6863\u4e2d\u5b9e\u4f53\u7684\u9012\u5f52\u5b9a\u4e49\u7684\u6570\u91cf\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6d88\u8017\u670d\u52a1\u5668\u7684\u6240\u6709\u5185\u5b58\u5e76\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://bugzilla.redhat.com/show_bug.cgi?id=1593776",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-40156",
  "openTime": "2021-06-08",
  "patchDescription": "Red Hat Certification\u662f\u7f8e\u56fdRed Hat\u516c\u53f8\u7684\u4e00\u4e2a\u8f6f\u4ef6\u5305\u3002\r\n\r\nRedhat redhat-certification 7\u4e2d\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4e0d\u80fd\u9002\u5f53\u5730\u9650\u5236XML\u6587\u6863\u4e2d\u5b9e\u4f53\u7684\u9012\u5f52\u5b9a\u4e49\u7684\u6570\u91cf\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6d88\u8017\u670d\u52a1\u5668\u7684\u6240\u6709\u5185\u5b58\u5e76\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": "Redhat redhat-certification\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Red Hat Redhat redhat-certification 7"
  },
  "referenceLink": "https://bugzilla.redhat.com/show_bug.cgi?id=1593776",
  "serverity": "\u4e2d",
  "submitTime": "2021-06-03",
  "title": "Redhat redhat-certification\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\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

Author Source Type Date Other

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