CNVD-2021-19690

Vulnerability from cnvd - Published: 2021-03-20
VLAI
Title
Apache Ambari任意文件下载漏洞
Description
Apache Ambari是一种基于Web的工具,支持Apache Hadoop集群的供应、管理和监控。 Apache Ambari 2.6.2.2及更早版本存在任意文件下载漏洞。攻击者可通过构造文件名利用该漏洞遍历其他目录并下载文件。
Severity
Patch Name
Apache Ambari任意文件下载漏洞的补丁
Patch Description
Apache Ambari是一种基于Web的工具,支持Apache Hadoop集群的供应、管理和监控。 Apache Ambari 2.6.2.2及更早版本存在任意文件下载漏洞。攻击者可通过构造文件名利用该漏洞遍历其他目录并下载文件。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,补丁获取链接: https://mail-archives.apache.org/mod_mbox/ambari-user/202102.mbox/%3CCAEJYuxEQZ_aPwJdAaSxPu-Dva%3Dhc7zZUx3-pzBORbd23g%2BGH1A%40mail.gmail.com%3E

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-13924
Impacted products
Name
Apache Apache Ambari <=2.6.2.2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-13924",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-13924"
    }
  },
  "description": "Apache Ambari\u662f\u4e00\u79cd\u57fa\u4e8eWeb\u7684\u5de5\u5177\uff0c\u652f\u6301Apache Hadoop\u96c6\u7fa4\u7684\u4f9b\u5e94\u3001\u7ba1\u7406\u548c\u76d1\u63a7\u3002\n\nApache Ambari 2.6.2.2\u53ca\u66f4\u65e9\u7248\u672c\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u4e0b\u8f7d\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u6784\u9020\u6587\u4ef6\u540d\u5229\u7528\u8be5\u6f0f\u6d1e\u904d\u5386\u5176\u4ed6\u76ee\u5f55\u5e76\u4e0b\u8f7d\u6587\u4ef6\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://mail-archives.apache.org/mod_mbox/ambari-user/202102.mbox/%3CCAEJYuxEQZ_aPwJdAaSxPu-Dva%3Dhc7zZUx3-pzBORbd23g%2BGH1A%40mail.gmail.com%3E",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-19690",
  "openTime": "2021-03-20",
  "patchDescription": "Apache Ambari\u662f\u4e00\u79cd\u57fa\u4e8eWeb\u7684\u5de5\u5177\uff0c\u652f\u6301Apache Hadoop\u96c6\u7fa4\u7684\u4f9b\u5e94\u3001\u7ba1\u7406\u548c\u76d1\u63a7\u3002\r\n\r\nApache Ambari 2.6.2.2\u53ca\u66f4\u65e9\u7248\u672c\u5b58\u5728\u4efb\u610f\u6587\u4ef6\u4e0b\u8f7d\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u6784\u9020\u6587\u4ef6\u540d\u5229\u7528\u8be5\u6f0f\u6d1e\u904d\u5386\u5176\u4ed6\u76ee\u5f55\u5e76\u4e0b\u8f7d\u6587\u4ef6\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\u4efb\u610f\u6587\u4ef6\u4e0b\u8f7d\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Apache Ambari \u003c=2.6.2.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-13924",
  "serverity": "\u4f4e",
  "submitTime": "2021-03-18",
  "title": "Apache Ambari\u4efb\u610f\u6587\u4ef6\u4e0b\u8f7d\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…