CNVD-2020-13485

Vulnerability from cnvd - Published: 2020-02-25
VLAI
Title
WordPress Code Snippets跨站请求伪造漏洞
Description
WordPress是WordPress软件基金会的一套使用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插件Code Snippets存在跨站请求伪造漏洞。攻击者可利用漏洞在站点上创建新的管理帐户、过滤敏感信息、感染站点用户等。
Severity
高
Patch Name
WordPress Code Snippets跨站请求伪造漏洞的补丁
Patch Description
WordPress是WordPress软件基金会的一套使用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插件Code Snippets存在跨站请求伪造漏洞。攻击者可利用漏洞在站点上创建新的管理帐户、过滤敏感信息、感染站点用户等。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://wordpress.org/plugins/code-snippets/#developers

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-8417
Impacted products
Name
WordPress Code Snippets <2.14.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-8417"
    }
  },
  "description": "WordPress\u662fWordPress\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u4f7f\u7528PHP\u8bed\u8a00\u5f00\u53d1\u7684\u535a\u5ba2\u5e73\u53f0\uff0c\u8be5\u5e73\u53f0\u652f\u6301\u5728PHP\u548cMySQL\u7684\u670d\u52a1\u5668\u4e0a\u67b6\u8bbe\u4e2a\u4eba\u535a\u5ba2\u7f51\u7ad9\u3002\n\nWordPress\u63d2\u4ef6Code Snippets\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5728\u7ad9\u70b9\u4e0a\u521b\u5efa\u65b0\u7684\u7ba1\u7406\u5e10\u6237\u3001\u8fc7\u6ee4\u654f\u611f\u4fe1\u606f\u3001\u611f\u67d3\u7ad9\u70b9\u7528\u6237\u7b49\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://wordpress.org/plugins/code-snippets/#developers",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-13485",
  "openTime": "2020-02-25",
  "patchDescription": "WordPress\u662fWordPress\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u5957\u4f7f\u7528PHP\u8bed\u8a00\u5f00\u53d1\u7684\u535a\u5ba2\u5e73\u53f0\uff0c\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\u63d2\u4ef6Code Snippets\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5728\u7ad9\u70b9\u4e0a\u521b\u5efa\u65b0\u7684\u7ba1\u7406\u5e10\u6237\u3001\u8fc7\u6ee4\u654f\u611f\u4fe1\u606f\u3001\u611f\u67d3\u7ad9\u70b9\u7528\u6237\u7b49\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 Code Snippets\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "WordPress Code Snippets \u003c2.14.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-8417",
  "serverity": "\u9ad8",
  "submitTime": "2020-02-03",
  "title": "WordPress Code Snippets\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}



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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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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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