CNVD-2018-01074

Vulnerability from cnvd - Published: 2018-01-17
VLAI
Title
Fortinet FortiClient Windows权限提升漏洞
Description
Fortinet FortiClient Windows是美国飞塔(Fortinet)公司的一套基于Windows平台的移动终端安全解决方案。该方案与FortiGate防火墙设备连接时可提供IPsec和SSL加密、广域网优化、终端合规和双因子认证等功能。 Fortinet FortiClient Windows 5.4.3及之前的版本和5.6.0版本中存在提权漏洞。攻击者可利用该漏洞获取权限。
Severity
Patch Name
Fortinet FortiClient Windows权限提升漏洞的补丁
Patch Description
Fortinet FortiClient Windows是美国飞塔(Fortinet)公司的一套基于Windows平台的移动终端安全解决方案。该方案与FortiGate防火墙设备连接时可提供IPsec和SSL加密、广域网优化、终端合规和双因子认证等功能。 Fortinet FortiClient Windows 5.4.3及之前的版本和5.6.0版本中存在提权漏洞。攻击者可利用该漏洞获取权限。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: https://fortiguard.com/psirt/FG-IR-17-070

Reference
https://fortiguard.com/advisory/FG-IR-17-070 http://www.securityfocus.com/bid/102176
Impacted products
Name
['Fortinet FortiClient Windows <=5.4.3', 'Fortinet FortiClient Windows 5.6.0']
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "102176"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-7344",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-7344"
    }
  },
  "description": "Fortinet FortiClient Windows\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eWindows\u5e73\u53f0\u7684\u79fb\u52a8\u7ec8\u7aef\u5b89\u5168\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u4e0eFortiGate\u9632\u706b\u5899\u8bbe\u5907\u8fde\u63a5\u65f6\u53ef\u63d0\u4f9bIPsec\u548cSSL\u52a0\u5bc6\u3001\u5e7f\u57df\u7f51\u4f18\u5316\u3001\u7ec8\u7aef\u5408\u89c4\u548c\u53cc\u56e0\u5b50\u8ba4\u8bc1\u7b49\u529f\u80fd\u3002\r\n\r\nFortinet FortiClient Windows 5.4.3\u53ca\u4e4b\u524d\u7684\u7248\u672c\u548c5.6.0\u7248\u672c\u4e2d\u5b58\u5728\u63d0\u6743\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6743\u9650\u3002",
  "discovererName": "Clement NOTIN of INTRINSEC.",
  "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\nhttps://fortiguard.com/psirt/FG-IR-17-070",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-01074",
  "openTime": "2018-01-17",
  "patchDescription": "Fortinet FortiClient Windows\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eWindows\u5e73\u53f0\u7684\u79fb\u52a8\u7ec8\u7aef\u5b89\u5168\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u4e0eFortiGate\u9632\u706b\u5899\u8bbe\u5907\u8fde\u63a5\u65f6\u53ef\u63d0\u4f9bIPsec\u548cSSL\u52a0\u5bc6\u3001\u5e7f\u57df\u7f51\u4f18\u5316\u3001\u7ec8\u7aef\u5408\u89c4\u548c\u53cc\u56e0\u5b50\u8ba4\u8bc1\u7b49\u529f\u80fd\u3002\r\n\r\nFortinet FortiClient Windows 5.4.3\u53ca\u4e4b\u524d\u7684\u7248\u672c\u548c5.6.0\u7248\u672c\u4e2d\u5b58\u5728\u63d0\u6743\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6743\u9650\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": "Fortinet FortiClient Windows\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Fortinet FortiClient Windows \u003c=5.4.3",
      "Fortinet FortiClient Windows 5.6.0"
    ]
  },
  "referenceLink": "https://fortiguard.com/advisory/FG-IR-17-070\r\nhttp://www.securityfocus.com/bid/102176",
  "serverity": "\u9ad8",
  "submitTime": "2017-12-18",
  "title": "Fortinet FortiClient Windows\u6743\u9650\u63d0\u5347\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.
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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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