CNVD-2015-05795

Vulnerability from cnvd - Published: 2015-09-07
VLAI
Title
Fortinet FortiClient未授权操作漏洞
Description
Fortinet FortiClient是美国飞塔(Fortinet)公司一套终端安全解决方案,为终端用户提供防病毒、加密等服务。 Fortinet FortiClient 5.2.4之前的版本存在未授权操作漏洞,允许本地用户写通过0x226108 ioctl调用写任意的内存位置。
Severity
Patch Name
Fortinet FortiClient未授权操作漏洞的补丁
Patch Description
Fortinet FortiClient是美国飞塔(Fortinet)公司一套终端安全解决方案,为终端用户提供防病毒、加密等服务。 Fortinet FortiClient 5.2.4之前的版本存在未授权操作漏洞,允许本地用户写通过0x226108 ioctl调用写任意的内存位置。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

用户可参考如下厂商提供的安全公告获取补丁以修复该漏洞: http://www.coresecurity.com/advisories/forticlient-antivirus-multiple-vulnerabilities

Reference
http://www.coresecurity.com/advisories/forticlient-antivirus-multiple-vulnerabilities
Impacted products
Name
Fortinet FortiClient < 5.2.4
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-5735"
    }
  },
  "description": "Fortinet FortiClient\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u4e00\u5957\u7ec8\u7aef\u5b89\u5168\u89e3\u51b3\u65b9\u6848\uff0c\u4e3a\u7ec8\u7aef\u7528\u6237\u63d0\u4f9b\u9632\u75c5\u6bd2\u3001\u52a0\u5bc6\u7b49\u670d\u52a1\u3002\r\n\r\nFortinet FortiClient 5.2.4\u4e4b\u524d\u7684\u7248\u672c\u5b58\u5728\u672a\u6388\u6743\u64cd\u4f5c\u6f0f\u6d1e\uff0c\u5141\u8bb8\u672c\u5730\u7528\u6237\u5199\u901a\u8fc70x226108 ioctl\u8c03\u7528\u5199\u4efb\u610f\u7684\u5185\u5b58\u4f4d\u7f6e\u3002",
  "discovererName": "Enrique Nissim",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u53d6\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttp://www.coresecurity.com/advisories/forticlient-antivirus-multiple-vulnerabilities",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-05795",
  "openTime": "2015-09-07",
  "patchDescription": "Fortinet FortiClient\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u4e00\u5957\u7ec8\u7aef\u5b89\u5168\u89e3\u51b3\u65b9\u6848\uff0c\u4e3a\u7ec8\u7aef\u7528\u6237\u63d0\u4f9b\u9632\u75c5\u6bd2\u3001\u52a0\u5bc6\u7b49\u670d\u52a1\u3002\r\n\r\nFortinet FortiClient 5.2.4\u4e4b\u524d\u7684\u7248\u672c\u5b58\u5728\u672a\u6388\u6743\u64cd\u4f5c\u6f0f\u6d1e\uff0c\u5141\u8bb8\u672c\u5730\u7528\u6237\u5199\u901a\u8fc70x226108 ioctl\u8c03\u7528\u5199\u4efb\u610f\u7684\u5185\u5b58\u4f4d\u7f6e\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\u672a\u6388\u6743\u64cd\u4f5c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Fortinet FortiClient \u003c 5.2.4"
  },
  "referenceLink": "http://www.coresecurity.com/advisories/forticlient-antivirus-multiple-vulnerabilities",
  "serverity": "\u9ad8",
  "submitTime": "2015-09-06",
  "title": "Fortinet FortiClient\u672a\u6388\u6743\u64cd\u4f5c\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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