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CNVD-2022-86554

Vulnerability from cnvd - Published: 2022-12-12
VLAI
Title
WordPress Appointment Hour Booking plugin跨站脚本漏洞(CNVD-2022-86554)
Description
WordPress是Wordpress基金会的一套使用PHP语言开发的博客平台。该平台支持在PHP和MySQL的服务器上架设个人博客网站。 WordPress Appointment Hour Booking plugin 1.3.17之前存在跨站脚本漏洞,该漏洞源于的创建新日历时使用的值缺少对用户输入数据的校验和对输处的数据的过滤。攻击者可利用该漏洞在客户端执行JavaScript代码。
Severity
Patch Name
WordPress Appointment Hour Booking plugin跨站脚本漏洞(CNVD-2022-86554)的补丁
Patch Description
WordPress是Wordpress基金会的一套使用PHP语言开发的博客平台。该平台支持在PHP和MySQL的服务器上架设个人博客网站。 WordPress Appointment Hour Booking plugin 1.3.17之前存在跨站脚本漏洞,该漏洞源于的创建新日历时使用的值缺少对用户输入数据的校验和对输处的数据的过滤。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: https://wpscan.com/vulnerability/e677e51b-0d3f-44a5-9fcd-c159786b9926

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-24712
Impacted products
Name
WordPress Appointment Hour Booking <1.3.17
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-24712",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-24712"
    }
  },
  "description": "WordPress\u662fWordpress\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u4f7f\u7528PHP\u8bed\u8a00\u5f00\u53d1\u7684\u535a\u5ba2\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u652f\u6301\u5728PHP\u548cMySQL\u7684\u670d\u52a1\u5668\u4e0a\u67b6\u8bbe\u4e2a\u4eba\u535a\u5ba2\u7f51\u7ad9\u3002\n\nWordPress Appointment Hour Booking plugin 1.3.17\u4e4b\u524d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7684\u521b\u5efa\u65b0\u65e5\u5386\u65f6\u4f7f\u7528\u7684\u503c\u7f3a\u5c11\u5bf9\u7528\u6237\u8f93\u5165\u6570\u636e\u7684\u6821\u9a8c\u548c\u5bf9\u8f93\u5904\u7684\u6570\u636e\u7684\u8fc7\u6ee4\u3002\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\nhttps://wpscan.com/vulnerability/e677e51b-0d3f-44a5-9fcd-c159786b9926",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-86554",
  "openTime": "2022-12-12",
  "patchDescription": "WordPress\u662fWordpress\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u4f7f\u7528PHP\u8bed\u8a00\u5f00\u53d1\u7684\u535a\u5ba2\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u652f\u6301\u5728PHP\u548cMySQL\u7684\u670d\u52a1\u5668\u4e0a\u67b6\u8bbe\u4e2a\u4eba\u535a\u5ba2\u7f51\u7ad9\u3002\r\n\r\nWordPress Appointment Hour Booking plugin 1.3.17\u4e4b\u524d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7684\u521b\u5efa\u65b0\u65e5\u5386\u65f6\u4f7f\u7528\u7684\u503c\u7f3a\u5c11\u5bf9\u7528\u6237\u8f93\u5165\u6570\u636e\u7684\u6821\u9a8c\u548c\u5bf9\u8f93\u5904\u7684\u6570\u636e\u7684\u8fc7\u6ee4\u3002\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": "WordPress Appointment Hour Booking plugin\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2022-86554\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "WordPress Appointment Hour Booking \u003c1.3.17"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-24712",
  "serverity": "\u4f4e",
  "submitTime": "2021-10-13",
  "title": "WordPress Appointment Hour Booking plugin\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2022-86554\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.
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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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