CNVD-2022-64104

Vulnerability from cnvd - Published: 2022-09-20
VLAI
Title
Joomla!跨站脚本漏洞(CNVD-2022-64104)
Description
Joomla!是一套使用在Joomla!内容管理系统中的论坛组件。 Joomla! 3.7.0至3.10.6版本存在跨站脚本漏洞,该漏洞源于com_fields类中未充分清理与转义对用户提供的数据,攻击者可利用该漏洞在客户端执行JavaScript代码。
Severity
Patch Name
Joomla!跨站脚本漏洞(CNVD-2022-64104)的补丁
Patch Description
Joomla!是一套使用在Joomla!内容管理系统中的论坛组件。 Joomla! 3.7.0至3.10.6版本存在跨站脚本漏洞,该漏洞源于com_fields类中未充分清理与转义对用户提供的数据,攻击者可利用该漏洞在客户端执行JavaScript代码。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: http://developer.joomla.org/security-centre/873-20220304-core-missing-input-validation-within-com-fields-class-inputs.html

Reference
https://www.cybersecurity-help.cz/vdb/SB2022032920
Impacted products
Name
Joomla Joomla! >=3.7.0,<=3.10.6
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-23796",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-23796"
    }
  },
  "description": "Joomla!\u662f\u4e00\u5957\u4f7f\u7528\u5728Joomla!\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\u4e2d\u7684\u8bba\u575b\u7ec4\u4ef6\u3002\n\nJoomla! 3.7.0\u81f33.10.6\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8ecom_fields\u7c7b\u4e2d\u672a\u5145\u5206\u6e05\u7406\u4e0e\u8f6c\u4e49\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5ba2\u6237\u7aef\u6267\u884cJavaScript\u4ee3\u7801\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttp://developer.joomla.org/security-centre/873-20220304-core-missing-input-validation-within-com-fields-class-inputs.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-64104",
  "openTime": "2022-09-20",
  "patchDescription": "Joomla!\u662f\u4e00\u5957\u4f7f\u7528\u5728Joomla!\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\u4e2d\u7684\u8bba\u575b\u7ec4\u4ef6\u3002\r\n\r\nJoomla! 3.7.0\u81f33.10.6\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8ecom_fields\u7c7b\u4e2d\u672a\u5145\u5206\u6e05\u7406\u4e0e\u8f6c\u4e49\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5ba2\u6237\u7aef\u6267\u884cJavaScript\u4ee3\u7801\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": "Joomla!\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2022-64104\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Joomla Joomla! \u003e=3.7.0\uff0c\u003c=3.10.6"
  },
  "referenceLink": "https://www.cybersecurity-help.cz/vdb/SB2022032920",
  "serverity": "\u4e2d",
  "submitTime": "2022-03-31",
  "title": "Joomla!\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2022-64104\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

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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Detection rules are retrieved from Rulezet.

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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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