GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2022-05531

Vulnerability from cnvd - Published: 2022-01-20
VLAI
Title
Nagios服务端请求伪造漏洞
Description
Nagios是美国Nagios公司的一套开源的免费网络监视工具。 NagiosXI在5.8.4版本存在服务端请求伪造漏洞,该漏洞源于产品未能正确验证用户输入,经过身份验证的攻击者可以利用该漏洞访问内部资源或公开本地系统文件。
Severity
Patch Name
Nagios服务端请求伪造漏洞的补丁
Patch Description
Nagios是美国Nagios公司的一套开源的免费网络监视工具。 NagiosXI在5.8.4版本存在服务端请求伪造漏洞,该漏洞源于产品未能正确验证用户输入,经过身份验证的攻击者可以利用该漏洞访问内部资源或公开本地系统文件。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.nagios.com/downloads/nagios-xi/change-log/

Reference
http://nagios.com
Impacted products
Name
Nagios Nagios XI 5.8.4
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-37223",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-37223"
    }
  },
  "description": "Nagios\u662f\u7f8e\u56fdNagios\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u514d\u8d39\u7f51\u7edc\u76d1\u89c6\u5de5\u5177\u3002\n\nNagiosXI\u57285.8.4\u7248\u672c\u5b58\u5728\u670d\u52a1\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4ea7\u54c1\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u7528\u6237\u8f93\u5165\uff0c\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u5185\u90e8\u8d44\u6e90\u6216\u516c\u5f00\u672c\u5730\u7cfb\u7edf\u6587\u4ef6\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.nagios.com/downloads/nagios-xi/change-log/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-05531",
  "openTime": "2022-01-20",
  "patchDescription": "Nagios\u662f\u7f8e\u56fdNagios\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u514d\u8d39\u7f51\u7edc\u76d1\u89c6\u5de5\u5177\u3002\r\n\r\nNagiosXI\u57285.8.4\u7248\u672c\u5b58\u5728\u670d\u52a1\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4ea7\u54c1\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u7528\u6237\u8f93\u5165\uff0c\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u5185\u90e8\u8d44\u6e90\u6216\u516c\u5f00\u672c\u5730\u7cfb\u7edf\u6587\u4ef6\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": "Nagios\u670d\u52a1\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Nagios Nagios XI 5.8.4"
  },
  "referenceLink": "http://nagios.com",
  "serverity": "\u4e2d",
  "submitTime": "2021-10-10",
  "title": "Nagios\u670d\u52a1\u7aef\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…