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CNVD-2021-70092

Vulnerability from cnvd - Published: 2021-09-11
VLAI
Title
Cacti跨站脚本漏洞(CNVD-2021-70092)
Description
Cacti是Cacti团队的一套开源的网络流量监测和分析工具。该工具通过snmpget来获取数据,使用RRDtool绘画图形进行分析,并提供数据和用户管理功能。 Cacti 存在代码注入漏洞,该漏洞源于Cacti 1.2.12中存在多个跨站点脚本(XSS)漏洞。目前没有详细的漏洞细节提供。
Severity
Patch Name
Cacti跨站脚本漏洞(CNVD-2021-70092)的补丁
Patch Description
Cacti是Cacti团队的一套开源的网络流量监测和分析工具。该工具通过snmpget来获取数据,使用RRDtool绘画图形进行分析,并提供数据和用户管理功能。 Cacti 存在代码注入漏洞,该漏洞源于Cacti 1.2.12中存在多个跨站点脚本(XSS)漏洞。目前没有详细的漏洞细节提供。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: https://github.com/Cacti/cacti/issues/3549

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-23226
Impacted products
Name
Cacti Cacti 1.2.12
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-23226"
    }
  },
  "description": "Cacti\u662fCacti\u56e2\u961f\u7684\u4e00\u5957\u5f00\u6e90\u7684\u7f51\u7edc\u6d41\u91cf\u76d1\u6d4b\u548c\u5206\u6790\u5de5\u5177\u3002\u8be5\u5de5\u5177\u901a\u8fc7snmpget\u6765\u83b7\u53d6\u6570\u636e\uff0c\u4f7f\u7528RRDtool\u7ed8\u753b\u56fe\u5f62\u8fdb\u884c\u5206\u6790\uff0c\u5e76\u63d0\u4f9b\u6570\u636e\u548c\u7528\u6237\u7ba1\u7406\u529f\u80fd\u3002\n\nCacti \u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eCacti 1.2.12\u4e2d\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u70b9\u811a\u672c\uff08XSS\uff09\u6f0f\u6d1e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "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\nhttps://github.com/Cacti/cacti/issues/3549",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-70092",
  "openTime": "2021-09-11",
  "patchDescription": "Cacti\u662fCacti\u56e2\u961f\u7684\u4e00\u5957\u5f00\u6e90\u7684\u7f51\u7edc\u6d41\u91cf\u76d1\u6d4b\u548c\u5206\u6790\u5de5\u5177\u3002\u8be5\u5de5\u5177\u901a\u8fc7snmpget\u6765\u83b7\u53d6\u6570\u636e\uff0c\u4f7f\u7528RRDtool\u7ed8\u753b\u56fe\u5f62\u8fdb\u884c\u5206\u6790\uff0c\u5e76\u63d0\u4f9b\u6570\u636e\u548c\u7528\u6237\u7ba1\u7406\u529f\u80fd\u3002\r\n\r\nCacti \u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eCacti 1.2.12\u4e2d\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u70b9\u811a\u672c\uff08XSS\uff09\u6f0f\u6d1e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "Cacti\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2021-70092\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Cacti Cacti 1.2.12"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-23226",
  "serverity": "\u4e2d",
  "submitTime": "2021-08-31",
  "title": "Cacti\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2021-70092\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.
  • 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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