CNVD-2021-13224

Vulnerability from cnvd - Published: 2021-02-27
VLAI
Title
Emoncms跨站脚本漏洞(CNVD-2021-13224)
Description
Emoncms是一款用于处理、记录和可视化能源、温度和其他环境数据的开源Web应用。 Emoncms 10.2.7及更早版本中的Modules/input/Views/schedule.php存在跨站脚本漏洞。攻击者可通过node参数利用该漏洞进行跨站脚本攻击。
Severity
中
Patch Name
Emoncms跨站脚本漏洞(CNVD-2021-13224)的补丁
Patch Description
Emoncms是一款用于处理、记录和可视化能源、温度和其他环境数据的开源Web应用。 Emoncms 10.2.7及更早版本中的Modules/input/Views/schedule.php存在跨站脚本漏洞。攻击者可通过node参数利用该漏洞进行跨站脚本攻击。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/medialize/URI.js/commit/a1ad8bcbc39a4d136d7e252e76e957f3ece70839

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-26716
Impacted products
Name
Emoncms Emoncms <=10.2.7
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-26716",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-26716"
    }
  },
  "description": "Emoncms\u662f\u4e00\u6b3e\u7528\u4e8e\u5904\u7406\u3001\u8bb0\u5f55\u548c\u53ef\u89c6\u5316\u80fd\u6e90\u3001\u6e29\u5ea6\u548c\u5176\u4ed6\u73af\u5883\u6570\u636e\u7684\u5f00\u6e90Web\u5e94\u7528\u3002\n\nEmoncms 10.2.7\u53ca\u66f4\u65e9\u7248\u672c\u4e2d\u7684Modules/input/Views/schedule.php\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7node\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884c\u8de8\u7ad9\u811a\u672c\u653b\u51fb\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/medialize/URI.js/commit/a1ad8bcbc39a4d136d7e252e76e957f3ece70839",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-13224",
  "openTime": "2021-02-27",
  "patchDescription": "Emoncms\u662f\u4e00\u6b3e\u7528\u4e8e\u5904\u7406\u3001\u8bb0\u5f55\u548c\u53ef\u89c6\u5316\u80fd\u6e90\u3001\u6e29\u5ea6\u548c\u5176\u4ed6\u73af\u5883\u6570\u636e\u7684\u5f00\u6e90Web\u5e94\u7528\u3002\r\n\r\nEmoncms 10.2.7\u53ca\u66f4\u65e9\u7248\u672c\u4e2d\u7684Modules/input/Views/schedule.php\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7node\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884c\u8de8\u7ad9\u811a\u672c\u653b\u51fb\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": "Emoncms\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2021-13224\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Emoncms Emoncms \u003c=10.2.7"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-26716",
  "serverity": "\u4e2d",
  "submitTime": "2021-02-22",
  "title": "Emoncms\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2021-13224\uff09"
}



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…

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…