CNVD-2017-11806

Vulnerability from cnvd - Published: 2017-06-28
VLAI
Title
Fortinet FortiOS跨站脚本漏洞(CNVD-2017-11806)
Description
Fortinet FortiOS是美国飞塔(Fortinet)公司开发的一套专用于FortiGate网络安全平台上的安全操作系统。该系统为用户提供防火墙、防病毒、IPSec/SSL VPN、Web内容过滤和反垃圾邮件等多种安全功能。 Fortinet FortiOS中存在跨站脚本漏洞。远程攻击者可利用该漏洞执行任意的脚本代码,窃取基于cookie的身份验证证书。
Severity
Patch Name
Fortinet FortiOS跨站脚本漏洞(CNVD-2017-11806)的补丁
Patch Description
Fortinet FortiOS是美国飞塔(Fortinet)公司开发的一套专用于FortiGate网络安全平台上的安全操作系统。该系统为用户提供防火墙、防病毒、IPSec/SSL VPN、Web内容过滤和反垃圾邮件等多种安全功能。 Fortinet FortiOS中存在跨站脚本漏洞。远程攻击者可利用该漏洞执行任意的脚本代码,窃取基于cookie的身份验证证书。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://fortiguard.com/psirt/FG-IR-17-127

Reference
http://www.securityfocus.com/bid/99098
Impacted products
Name
Fortinet Inc. FortiOS
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "99098"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-7735",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-7735"
    }
  },
  "description": "Fortinet FortiOS\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u5f00\u53d1\u7684\u4e00\u5957\u4e13\u7528\u4e8eFortiGate\u7f51\u7edc\u5b89\u5168\u5e73\u53f0\u4e0a\u7684\u5b89\u5168\u64cd\u4f5c\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u4e3a\u7528\u6237\u63d0\u4f9b\u9632\u706b\u5899\u3001\u9632\u75c5\u6bd2\u3001IPSec/SSL VPN\u3001Web\u5185\u5bb9\u8fc7\u6ee4\u548c\u53cd\u5783\u573e\u90ae\u4ef6\u7b49\u591a\u79cd\u5b89\u5168\u529f\u80fd\u3002\r\n\r\nFortinet FortiOS\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u7684\u811a\u672c\u4ee3\u7801\uff0c\u7a83\u53d6\u57fa\u4e8ecookie\u7684\u8eab\u4efd\u9a8c\u8bc1\u8bc1\u4e66\u3002",
  "discovererName": "Walmart\u0027s ISD Enterprise Security Testing (EST) Team",
  "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://fortiguard.com/psirt/FG-IR-17-127",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-11806",
  "openTime": "2017-06-28",
  "patchDescription": "Fortinet FortiOS\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u5f00\u53d1\u7684\u4e00\u5957\u4e13\u7528\u4e8eFortiGate\u7f51\u7edc\u5b89\u5168\u5e73\u53f0\u4e0a\u7684\u5b89\u5168\u64cd\u4f5c\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u4e3a\u7528\u6237\u63d0\u4f9b\u9632\u706b\u5899\u3001\u9632\u75c5\u6bd2\u3001IPSec/SSL VPN\u3001Web\u5185\u5bb9\u8fc7\u6ee4\u548c\u53cd\u5783\u573e\u90ae\u4ef6\u7b49\u591a\u79cd\u5b89\u5168\u529f\u80fd\u3002\r\n\r\nFortinet FortiOS\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u7684\u811a\u672c\u4ee3\u7801\uff0c\u7a83\u53d6\u57fa\u4e8ecookie\u7684\u8eab\u4efd\u9a8c\u8bc1\u8bc1\u4e66\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 FortiOS\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2017-11806\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Fortinet Inc. FortiOS"
  },
  "referenceLink": "http://www.securityfocus.com/bid/99098",
  "serverity": "\u4e2d",
  "submitTime": "2017-06-21",
  "title": "Fortinet FortiOS\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2017-11806\uff09"
}



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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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