CNVD-2015-07350

Vulnerability from cnvd - Published: 2015-11-09
VLAI
Title
Apache Ambari开放重定向漏洞
Description
Apache Ambari是规定、管理、监控Apache Hadoop集群的工具。 Apache Ambari 2.1.2之前版本存在开放重定向安全漏洞。远程攻击者通过targetURI参数内的URL,利用此漏洞可将用户重定向到任意网站,并执行钓鱼攻击。
Severity
Patch Name
Apache Ambari开放重定向漏洞的补丁
Patch Description
Apache Ambari是规定、管理、监控Apache Hadoop集群的工具。 Apache Ambari 2.1.2之前版本存在开放重定向安全漏洞。远程攻击者通过targetURI参数内的URL,利用此漏洞可将用户重定向到任意网站,并执行钓鱼攻击。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

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://cwiki.apache.org/confluence/display/AMBARI/Ambari+Vulnerabilities

Reference
https://cwiki.apache.org/confluence/display/AMBARI/Ambari+Vulnerabilities
Impacted products
Name
Apache Ambari <2.1.2
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "77082"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-5210"
    }
  },
  "description": "Apache Ambari\u662f\u89c4\u5b9a\u3001\u7ba1\u7406\u3001\u76d1\u63a7Apache Hadoop\u96c6\u7fa4\u7684\u5de5\u5177\u3002\r\n\r\nApache Ambari 2.1.2\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5f00\u653e\u91cd\u5b9a\u5411\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u901a\u8fc7targetURI\u53c2\u6570\u5185\u7684URL\uff0c\u5229\u7528\u6b64\u6f0f\u6d1e\u53ef\u5c06\u7528\u6237\u91cd\u5b9a\u5411\u5230\u4efb\u610f\u7f51\u7ad9\uff0c\u5e76\u6267\u884c\u9493\u9c7c\u653b\u51fb\u3002",
  "discovererName": "Apache",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://cwiki.apache.org/confluence/display/AMBARI/Ambari+Vulnerabilities",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-07350",
  "openTime": "2015-11-09",
  "patchDescription": "Apache Ambari\u662f\u89c4\u5b9a\u3001\u7ba1\u7406\u3001\u76d1\u63a7Apache Hadoop\u96c6\u7fa4\u7684\u5de5\u5177\u3002\r\n\r\nApache Ambari 2.1.2\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5f00\u653e\u91cd\u5b9a\u5411\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u901a\u8fc7targetURI\u53c2\u6570\u5185\u7684URL\uff0c\u5229\u7528\u6b64\u6f0f\u6d1e\u53ef\u5c06\u7528\u6237\u91cd\u5b9a\u5411\u5230\u4efb\u610f\u7f51\u7ad9\uff0c\u5e76\u6267\u884c\u9493\u9c7c\u653b\u51fb\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\u5f00\u653e\u91cd\u5b9a\u5411\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Ambari \u003c2.1.2"
  },
  "referenceLink": "https://cwiki.apache.org/confluence/display/AMBARI/Ambari+Vulnerabilities",
  "serverity": "\u4e2d",
  "submitTime": "2015-11-05",
  "title": "Apache Ambari\u5f00\u653e\u91cd\u5b9a\u5411\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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Detection rules are retrieved from Rulezet.

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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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