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CNVD-2023-18295

Vulnerability from cnvd - Published: 2023-03-20
VLAI
Title
Fortinet FortiWeb格式化字符串错误漏洞
Description
Fortinet FortiWeb是美国飞塔(Fortinet)公司的一款Web应用层防火墙,它能够阻断如跨站点脚本、SQL注入、Cookie中毒、schema中毒等攻击的威胁,保证Web应用程序的安全性并保护敏感的数据库内容。 Fortinet FortiWeb存在格式化字符串错误漏洞,攻击者可利用该漏洞通过特制的命令参数执行未经授权的代码或命令。
Severity
Patch Name
Fortinet FortiWeb格式化字符串错误漏洞的补丁
Patch Description
Fortinet FortiWeb是美国飞塔(Fortinet)公司的一款Web应用层防火墙,它能够阻断如跨站点脚本、SQL注入、Cookie中毒、schema中毒等攻击的威胁,保证Web应用程序的安全性并保护敏感的数据库内容。 Fortinet FortiWeb存在格式化字符串错误漏洞,攻击者可利用该漏洞通过特制的命令参数执行未经授权的代码或命令。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://www.fortinet.com/products/web-application-firewall/fortiweb

Reference
https://nvd.nist.gov/vuln/detail/CVE-2023-23783
Impacted products
Name
['Fortinet FortiWeb 6.4', 'Fortinet FortiWeb >=7.0.0,<=7.0.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-23783",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-23783"
    }
  },
  "description": "Fortinet FortiWeb\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u6b3eWeb\u5e94\u7528\u5c42\u9632\u706b\u5899\uff0c\u5b83\u80fd\u591f\u963b\u65ad\u5982\u8de8\u7ad9\u70b9\u811a\u672c\u3001SQL\u6ce8\u5165\u3001Cookie\u4e2d\u6bd2\u3001schema\u4e2d\u6bd2\u7b49\u653b\u51fb\u7684\u5a01\u80c1\uff0c\u4fdd\u8bc1Web\u5e94\u7528\u7a0b\u5e8f\u7684\u5b89\u5168\u6027\u5e76\u4fdd\u62a4\u654f\u611f\u7684\u6570\u636e\u5e93\u5185\u5bb9\u3002\n\nFortinet FortiWeb\u5b58\u5728\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7279\u5236\u7684\u547d\u4ee4\u53c2\u6570\u6267\u884c\u672a\u7ecf\u6388\u6743\u7684\u4ee3\u7801\u6216\u547d\u4ee4\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://www.fortinet.com/products/web-application-firewall/fortiweb",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-18295",
  "openTime": "2023-03-20",
  "patchDescription": "Fortinet FortiWeb\u662f\u7f8e\u56fd\u98de\u5854\uff08Fortinet\uff09\u516c\u53f8\u7684\u4e00\u6b3eWeb\u5e94\u7528\u5c42\u9632\u706b\u5899\uff0c\u5b83\u80fd\u591f\u963b\u65ad\u5982\u8de8\u7ad9\u70b9\u811a\u672c\u3001SQL\u6ce8\u5165\u3001Cookie\u4e2d\u6bd2\u3001schema\u4e2d\u6bd2\u7b49\u653b\u51fb\u7684\u5a01\u80c1\uff0c\u4fdd\u8bc1Web\u5e94\u7528\u7a0b\u5e8f\u7684\u5b89\u5168\u6027\u5e76\u4fdd\u62a4\u654f\u611f\u7684\u6570\u636e\u5e93\u5185\u5bb9\u3002\r\n\r\nFortinet FortiWeb\u5b58\u5728\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7279\u5236\u7684\u547d\u4ee4\u53c2\u6570\u6267\u884c\u672a\u7ecf\u6388\u6743\u7684\u4ee3\u7801\u6216\u547d\u4ee4\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 FortiWeb\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Fortinet FortiWeb 6.4",
      "Fortinet FortiWeb \u003e=7.0.0\uff0c\u003c=7.0.1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-23783",
  "serverity": "\u4e2d",
  "submitTime": "2023-03-01",
  "title": "Fortinet FortiWeb\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\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

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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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