CNVD-2015-07486

Vulnerability from cnvd - Published: 2015-11-12
VLAI
Title
IBM InfoSphere BigInsights使用Apache Ambari信息泄露漏洞
Description
IBM InfoSphere BigInsights是美国IBM公司一套用于储存和分析 “大数据” 的软件平台。该平台为管理和分析海量的结构化和非结构化数据提供了解决方案。Apache Ambari是美国阿帕奇(Apache)软件基金会的一套配置、管理和监控Apache Hadoop集群的工具。该工具支持作业与任务执行的可视化和分析、支持系统报警等。 IBM Infosphere BigInsights 4.1之前4.x版本中使用的Apache Ambari 2.1版本存在安全漏洞。由于Configs界面中包含明文密码。物理位置临近的攻击者可通过读取密码字段利用该漏洞获取敏感信息。
Severity
Patch Name
IBM InfoSphere BigInsights使用Apache Ambari信息泄露漏洞的补丁
Patch Description
IBM InfoSphere BigInsights是美国IBM公司一套用于储存和分析 “大数据” 的软件平台。该平台为管理和分析海量的结构化和非结构化数据提供了解决方案。Apache Ambari是美国阿帕奇(Apache)软件基金会的一套配置、管理和监控Apache Hadoop集群的工具。该工具支持作业与任务执行的可视化和分析、支持系统报警等。 IBM Infosphere BigInsights 4.1之前4.x版本中使用的Apache Ambari 2.1版本存在安全漏洞。由于Configs界面中包含明文密码。物理位置临近的攻击者可通过读取密码字段利用该漏洞获取敏感信息。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

用户可参考如下供应商提供的安全公告获得补丁信息: http://www-01.ibm.com/support/docview.wss?uid=swg21969202

Reference
http://www-01.ibm.com/support/docview.wss?uid=swg21969202
Impacted products
Name
['Apache Ambari <2.1', 'IBM InfoSphere BigInsights 4.x(<4.1)']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-4928"
    }
  },
  "description": "IBM InfoSphere BigInsights\u662f\u7f8e\u56fdIBM\u516c\u53f8\u4e00\u5957\u7528\u4e8e\u50a8\u5b58\u548c\u5206\u6790 \u201c\u5927\u6570\u636e\u201d \u7684\u8f6f\u4ef6\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u4e3a\u7ba1\u7406\u548c\u5206\u6790\u6d77\u91cf\u7684\u7ed3\u6784\u5316\u548c\u975e\u7ed3\u6784\u5316\u6570\u636e\u63d0\u4f9b\u4e86\u89e3\u51b3\u65b9\u6848\u3002Apache Ambari\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u914d\u7f6e\u3001\u7ba1\u7406\u548c\u76d1\u63a7Apache Hadoop\u96c6\u7fa4\u7684\u5de5\u5177\u3002\u8be5\u5de5\u5177\u652f\u6301\u4f5c\u4e1a\u4e0e\u4efb\u52a1\u6267\u884c\u7684\u53ef\u89c6\u5316\u548c\u5206\u6790\u3001\u652f\u6301\u7cfb\u7edf\u62a5\u8b66\u7b49\u3002\r\n\r\nIBM Infosphere BigInsights 4.1\u4e4b\u524d4.x\u7248\u672c\u4e2d\u4f7f\u7528\u7684Apache Ambari 2.1\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u7531\u4e8eConfigs\u754c\u9762\u4e2d\u5305\u542b\u660e\u6587\u5bc6\u7801\u3002\u7269\u7406\u4f4d\u7f6e\u4e34\u8fd1\u7684\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u8bfb\u53d6\u5bc6\u7801\u5b57\u6bb5\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "IBM",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttp://www-01.ibm.com/support/docview.wss?uid=swg21969202",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-07486",
  "openTime": "2015-11-12",
  "patchDescription": "IBM InfoSphere BigInsights\u662f\u7f8e\u56fdIBM\u516c\u53f8\u4e00\u5957\u7528\u4e8e\u50a8\u5b58\u548c\u5206\u6790 \u201c\u5927\u6570\u636e\u201d \u7684\u8f6f\u4ef6\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u4e3a\u7ba1\u7406\u548c\u5206\u6790\u6d77\u91cf\u7684\u7ed3\u6784\u5316\u548c\u975e\u7ed3\u6784\u5316\u6570\u636e\u63d0\u4f9b\u4e86\u89e3\u51b3\u65b9\u6848\u3002Apache Ambari\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u914d\u7f6e\u3001\u7ba1\u7406\u548c\u76d1\u63a7Apache Hadoop\u96c6\u7fa4\u7684\u5de5\u5177\u3002\u8be5\u5de5\u5177\u652f\u6301\u4f5c\u4e1a\u4e0e\u4efb\u52a1\u6267\u884c\u7684\u53ef\u89c6\u5316\u548c\u5206\u6790\u3001\u652f\u6301\u7cfb\u7edf\u62a5\u8b66\u7b49\u3002\r\nIBM Infosphere BigInsights 4.1\u4e4b\u524d4.x\u7248\u672c\u4e2d\u4f7f\u7528\u7684Apache Ambari 2.1\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u7531\u4e8eConfigs\u754c\u9762\u4e2d\u5305\u542b\u660e\u6587\u5bc6\u7801\u3002\u7269\u7406\u4f4d\u7f6e\u4e34\u8fd1\u7684\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u8bfb\u53d6\u5bc6\u7801\u5b57\u6bb5\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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": "IBM InfoSphere BigInsights\u4f7f\u7528Apache Ambari\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apache Ambari \u003c2.1",
      "IBM InfoSphere BigInsights 4.x\uff08\u003c4.1)"
    ]
  },
  "referenceLink": "http://www-01.ibm.com/support/docview.wss?uid=swg21969202",
  "serverity": "\u4f4e",
  "submitTime": "2015-11-10",
  "title": "IBM InfoSphere BigInsights\u4f7f\u7528Apache Ambari\u4fe1\u606f\u6cc4\u9732\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

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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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