CNVD-2017-08545

Vulnerability from cnvd - Published: 2017-06-07
VLAI
Title
IBM Cognos Business Intelligence Server Cognos Analytics信息泄露漏洞
Description
IBM Cognos Business Intelligence Server是美国IBM公司的一套业务智能和绩效管理解决方案。该方案能够报告、分析、监控和评估业务数据。Cognos Analytics是其中的一个数据挖掘与分析组件。 IBM Cognos Business Intelligence Server中的Cognos Analytics存在信息泄露漏洞。本地攻击者可通过制作URL利用该漏洞确定文件是否存在,泄露文件内容。
Severity
低
Patch Name
IBM Cognos Business Intelligence Server Cognos Analytics信息泄露漏洞的补丁
Patch Description
IBM Cognos Business Intelligence Server是美国IBM公司的一套业务智能和绩效管理解决方案。该方案能够报告、分析、监控和评估业务数据。Cognos Analytics是其中的一个数据挖掘与分析组件。 IBM Cognos Business Intelligence Server中的Cognos Analytics存在信息泄露漏洞。本地攻击者可通过制作URL利用该漏洞确定文件是否存在,泄露文件内容。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: http://www-01.ibm.com/support/docview.wss?uid=swg22004036

Reference
http://www-01.ibm.com/support/docview.wss?uid=swg22004036
Impacted products
Name
['IBM Cognos Business Intelligence Server 10.2.1', 'IBM Cognos Business Intelligence Server 10.1.1', 'IBM Cognos Business Intelligence Server 10.2.1.1', 'IBM Cognos Business Intelligence Server 10.2.2', 'IBM Cognos Business Intelligence Server 10.2.0']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-1125"
    }
  },
  "description": "IBM Cognos Business Intelligence Server\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u4e1a\u52a1\u667a\u80fd\u548c\u7ee9\u6548\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u80fd\u591f\u62a5\u544a\u3001\u5206\u6790\u3001\u76d1\u63a7\u548c\u8bc4\u4f30\u4e1a\u52a1\u6570\u636e\u3002Cognos Analytics\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u6570\u636e\u6316\u6398\u4e0e\u5206\u6790\u7ec4\u4ef6\u3002\r\n\r\nIBM Cognos Business Intelligence Server\u4e2d\u7684Cognos Analytics\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5236\u4f5cURL\u5229\u7528\u8be5\u6f0f\u6d1e\u786e\u5b9a\u6587\u4ef6\u662f\u5426\u5b58\u5728\uff0c\u6cc4\u9732\u6587\u4ef6\u5185\u5bb9\u3002",
  "discovererName": "IBM",
  "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\nhttp://www-01.ibm.com/support/docview.wss?uid=swg22004036",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-08545",
  "openTime": "2017-06-07",
  "patchDescription": "IBM Cognos Business Intelligence Server\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u4e1a\u52a1\u667a\u80fd\u548c\u7ee9\u6548\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u80fd\u591f\u62a5\u544a\u3001\u5206\u6790\u3001\u76d1\u63a7\u548c\u8bc4\u4f30\u4e1a\u52a1\u6570\u636e\u3002Cognos Analytics\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u6570\u636e\u6316\u6398\u4e0e\u5206\u6790\u7ec4\u4ef6\u3002\r\n\r\nIBM Cognos Business Intelligence Server\u4e2d\u7684Cognos Analytics\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5236\u4f5cURL\u5229\u7528\u8be5\u6f0f\u6d1e\u786e\u5b9a\u6587\u4ef6\u662f\u5426\u5b58\u5728\uff0c\u6cc4\u9732\u6587\u4ef6\u5185\u5bb9\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 Cognos Business Intelligence Server Cognos Analytics\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM Cognos Business Intelligence Server 10.2.1",
      "IBM Cognos Business Intelligence Server  10.1.1",
      "IBM Cognos Business Intelligence Server 10.2.1.1",
      "IBM Cognos Business Intelligence Server 10.2.2",
      "IBM Cognos Business Intelligence Server 10.2.0"
    ]
  },
  "referenceLink": "http://www-01.ibm.com/support/docview.wss?uid=swg22004036",
  "serverity": "\u4f4e",
  "submitTime": "2017-06-06",
  "title": "IBM Cognos Business Intelligence Server Cognos Analytics\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

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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  • 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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