CNVD-2017-17221

Vulnerability from cnvd - Published: 2017-07-28
VLAI
Title
IBM Emptoris Services Procurement本地信息泄露漏洞
Description
IBM Emptoris Services Procurement是美国IBM公司的一套采购管理系统。该系统能够控制并管理第三方服务类别的采购生命周期。 IBM Emptoris Services Procurement存在安全漏洞,该漏洞源于未能正确的访问控制。本地攻击者可利用该漏洞查看敏感信息。
Severity
Patch Name
IBM Emptoris Services Procurement本地信息泄露漏洞的补丁
Patch Description
IBM Emptoris Services Procurement是美国IBM公司的一套采购管理系统。该系统能够控制并管理第三方服务类别的采购生命周期。 IBM Emptoris Services Procurement存在安全漏洞,该漏洞源于未能正确的访问控制。本地攻击者可利用该漏洞查看敏感信息。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

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=swg22005550

Reference
http://www.securityfocus.com/bid/99547
Impacted products
Name
['IBM Emptoris Services Procurement 10.0.0.5', 'IBM Emptoris Services Procurement 10.0']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-1441",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-1441"
    }
  },
  "description": "IBM Emptoris Services Procurement\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u91c7\u8d2d\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u80fd\u591f\u63a7\u5236\u5e76\u7ba1\u7406\u7b2c\u4e09\u65b9\u670d\u52a1\u7c7b\u522b\u7684\u91c7\u8d2d\u751f\u547d\u5468\u671f\u3002\r\n\r\nIBM Emptoris Services Procurement\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u80fd\u6b63\u786e\u7684\u8bbf\u95ee\u63a7\u5236\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u67e5\u770b\u654f\u611f\u4fe1\u606f\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=swg22005550",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-17221",
  "openTime": "2017-07-28",
  "patchDescription": "IBM Emptoris Services Procurement\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u91c7\u8d2d\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u80fd\u591f\u63a7\u5236\u5e76\u7ba1\u7406\u7b2c\u4e09\u65b9\u670d\u52a1\u7c7b\u522b\u7684\u91c7\u8d2d\u751f\u547d\u5468\u671f\u3002\r\n\r\nIBM Emptoris Services Procurement\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u80fd\u6b63\u786e\u7684\u8bbf\u95ee\u63a7\u5236\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u67e5\u770b\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 Emptoris Services Procurement\u672c\u5730\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM Emptoris Services Procurement 10.0.0.5",
      "IBM Emptoris Services Procurement  10.0"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/bid/99547",
  "serverity": "\u4f4e",
  "submitTime": "2017-07-24",
  "title": "IBM Emptoris Services Procurement\u672c\u5730\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.
  • 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.
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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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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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