CNVD-2017-00724

Vulnerability from cnvd - Published: 2017-01-24
VLAI
Title
HP Diagnostics存在点击劫持漏洞
Description
HP Diagnostics是美国惠普公司的一套端到端的应用管理、监测、诊断分析和故障修复的解决方案。 HP Diagnostics存在点击劫持漏洞。攻击者利用该漏洞可窃取基于cookie的身份验证证书,获取受影响设备的访问权限或敏感信息。
Severity
中
Patch Name
HP Diagnostics存在点击劫持漏洞的补丁
Patch Description
HP Diagnostics是美国惠普公司的一套端到端的应用管理、监测、诊断分析和故障修复的解决方案。 HP Diagnostics存在点击劫持漏洞。攻击者利用该漏洞可窃取基于cookie的身份验证证书,获取受影响设备的访问权限或敏感信息。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

目前厂商已经发布了升级补丁以修复此安全问题,补丁获取链接: https://h20564.www2.hpe.com/hpsc/doc/public/display?docId=emr_na-c05370100

Reference
http://www.securityfocus.com/bid/95427
Impacted products
Name
['HP Diagnostics 9.26IP1', 'HP Diagnostics 9.26', 'HP Diagnostics 9.24 IP1']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "95427"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-8521"
    }
  },
  "description": "HP Diagnostics\u662f\u7f8e\u56fd\u60e0\u666e\u516c\u53f8\u7684\u4e00\u5957\u7aef\u5230\u7aef\u7684\u5e94\u7528\u7ba1\u7406\u3001\u76d1\u6d4b\u3001\u8bca\u65ad\u5206\u6790\u548c\u6545\u969c\u4fee\u590d\u7684\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nHP Diagnostics\u5b58\u5728\u70b9\u51fb\u52ab\u6301\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u7a83\u53d6\u57fa\u4e8ecookie\u7684\u8eab\u4efd\u9a8c\u8bc1\u8bc1\u4e66\uff0c\u83b7\u53d6\u53d7\u5f71\u54cd\u8bbe\u5907\u7684\u8bbf\u95ee\u6743\u9650\u6216\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "HP",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://h20564.www2.hpe.com/hpsc/doc/public/display?docId=emr_na-c05370100",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-00724",
  "openTime": "2017-01-24",
  "patchDescription": "HP Diagnostics\u662f\u7f8e\u56fd\u60e0\u666e\u516c\u53f8\u7684\u4e00\u5957\u7aef\u5230\u7aef\u7684\u5e94\u7528\u7ba1\u7406\u3001\u76d1\u6d4b\u3001\u8bca\u65ad\u5206\u6790\u548c\u6545\u969c\u4fee\u590d\u7684\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nHP Diagnostics\u5b58\u5728\u70b9\u51fb\u52ab\u6301\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u7a83\u53d6\u57fa\u4e8ecookie\u7684\u8eab\u4efd\u9a8c\u8bc1\u8bc1\u4e66\uff0c\u83b7\u53d6\u53d7\u5f71\u54cd\u8bbe\u5907\u7684\u8bbf\u95ee\u6743\u9650\u6216\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": "HP Diagnostics\u5b58\u5728\u70b9\u51fb\u52ab\u6301\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "HP Diagnostics 9.26IP1",
      "HP Diagnostics  9.26",
      "HP Diagnostics  9.24 IP1"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/bid/95427",
  "serverity": "\u4e2d",
  "submitTime": "2017-01-17",
  "title": "HP Diagnostics\u5b58\u5728\u70b9\u51fb\u52ab\u6301\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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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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