CNVD-2021-14760

Vulnerability from cnvd - Published: 2021-03-05
VLAI
Title
Apache Ambari跨站脚本漏洞(CNVD-2021-14760)
Description
Apache Ambari是 (Apache)开源的一个应用软件。提供开发用于配置,管理和监视Apache Hadoop集群的软件来简化Hadoop管理。 Apache Ambari 2.7.4存在跨站脚本漏洞,该漏洞源于视图中的输入未对用户输入做有效过滤,攻击者可利用此漏洞注入JavaScript代码获取Cookie凭据。
Severity
中
Patch Name
Apache Ambari跨站脚本漏洞(CNVD-2021-14760)的补丁
Patch Description
Apache Ambari是 (Apache)开源的一个应用软件。提供开发用于配置,管理和监视Apache Hadoop集群的软件来简化Hadoop管理。 Apache Ambari 2.7.4存在跨站脚本漏洞,该漏洞源于视图中的输入未对用户输入做有效过滤,攻击者可利用此漏洞注入JavaScript代码获取Cookie凭据。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://lists.apache.org/thread.html/946a9d72e664ad8bc592168d9a2fed88100c6e9f1bdfea08e91a3184%40%3Cuser.ambari.apache.org%3E

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-1936
Impacted products
Name
Apache Ambari 2.7.4
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-1936",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-1936"
    }
  },
  "description": "Apache Ambari\u662f  \uff08Apache\uff09\u5f00\u6e90\u7684\u4e00\u4e2a\u5e94\u7528\u8f6f\u4ef6\u3002\u63d0\u4f9b\u5f00\u53d1\u7528\u4e8e\u914d\u7f6e\uff0c\u7ba1\u7406\u548c\u76d1\u89c6Apache Hadoop\u96c6\u7fa4\u7684\u8f6f\u4ef6\u6765\u7b80\u5316Hadoop\u7ba1\u7406\u3002\n\nApache Ambari 2.7.4\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u89c6\u56fe\u4e2d\u7684\u8f93\u5165\u672a\u5bf9\u7528\u6237\u8f93\u5165\u505a\u6709\u6548\u8fc7\u6ee4\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u6ce8\u5165JavaScript\u4ee3\u7801\u83b7\u53d6Cookie\u51ed\u636e\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://lists.apache.org/thread.html/946a9d72e664ad8bc592168d9a2fed88100c6e9f1bdfea08e91a3184%40%3Cuser.ambari.apache.org%3E",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-14760",
  "openTime": "2021-03-05",
  "patchDescription": "Apache Ambari\u662f  \uff08Apache\uff09\u5f00\u6e90\u7684\u4e00\u4e2a\u5e94\u7528\u8f6f\u4ef6\u3002\u63d0\u4f9b\u5f00\u53d1\u7528\u4e8e\u914d\u7f6e\uff0c\u7ba1\u7406\u548c\u76d1\u89c6Apache Hadoop\u96c6\u7fa4\u7684\u8f6f\u4ef6\u6765\u7b80\u5316Hadoop\u7ba1\u7406\u3002\r\n\r\nApache Ambari 2.7.4\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u89c6\u56fe\u4e2d\u7684\u8f93\u5165\u672a\u5bf9\u7528\u6237\u8f93\u5165\u505a\u6709\u6548\u8fc7\u6ee4\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u6ce8\u5165JavaScript\u4ee3\u7801\u83b7\u53d6Cookie\u51ed\u636e\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": "Apache Ambari\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2021-14760\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Ambari 2.7.4"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-1936",
  "serverity": "\u4e2d",
  "submitTime": "2021-03-04",
  "title": "Apache Ambari\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2021-14760\uff09"
}



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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.
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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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