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CNVD-2022-19070

Vulnerability from cnvd - Published: 2022-03-14
VLAI
Title
Fortinet FortiAuthenticator访问控制错误漏洞
Description
Fortinet FortiAuthenticator是美国飞塔(Fortinet)公司的一款集中式的用户身份管理解决方案。 Fortinet FortiAuthenticator存在访问控制错误漏洞,攻击者可利用该漏洞未经认证的直接连接到FAC的数据库。
Severity
Patch Name
Fortinet FortiAuthenticator访问控制错误漏洞的补丁
Patch Description
Fortinet FortiAuthenticator是美国飞塔(Fortinet)公司的一款集中式的用户身份管理解决方案。 Fortinet FortiAuthenticator存在访问控制错误漏洞,攻击者可利用该漏洞未经认证的直接连接到FAC的数据库。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

厂商已发布了漏洞修复程序,请及时关注更新: https://fortiguard.com/psirt/FG-IR-20-217

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-36177
Impacted products
Name
['Fortinet FortiAuthenticator <=6.3.2', 'Fortinet FortiAuthenticator 6.2.*', 'Fortinet FortiAuthenticator 6.1.*', 'Fortinet FortiAuthenticator 6.0.*']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-36177",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-36177"
    }
  },
  "description": "Fortinet FortiAuthenticator\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u96c6\u4e2d\u5f0f\u7684\u7528\u6237\u8eab\u4efd\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\n\nFortinet FortiAuthenticator\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u672a\u7ecf\u8ba4\u8bc1\u7684\u76f4\u63a5\u8fde\u63a5\u5230FAC\u7684\u6570\u636e\u5e93\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://fortiguard.com/psirt/FG-IR-20-217",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-19070",
  "openTime": "2022-03-14",
  "patchDescription": "Fortinet FortiAuthenticator\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u96c6\u4e2d\u5f0f\u7684\u7528\u6237\u8eab\u4efd\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nFortinet FortiAuthenticator\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u672a\u7ecf\u8ba4\u8bc1\u7684\u76f4\u63a5\u8fde\u63a5\u5230FAC\u7684\u6570\u636e\u5e93\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 FortiAuthenticator\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Fortinet FortiAuthenticator \u003c=6.3.2",
      "Fortinet FortiAuthenticator 6.2.*",
      "Fortinet FortiAuthenticator 6.1.*",
      "Fortinet FortiAuthenticator 6.0.*"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-36177",
  "serverity": "\u4f4e",
  "submitTime": "2022-02-08",
  "title": "Fortinet FortiAuthenticator\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\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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