CNVD-2023-36305

Vulnerability from cnvd - Published: 2023-05-06
VLAI
Title
Emlog跨站脚本漏洞(CNVD-2023-36305)
Description
emlog是emlog个人开发者的一套基于PHP和MySQL的CMS建站系统。 Emlog Pro v2.0.3版本存在跨站脚本漏洞。该漏洞源于应用对用户提供的数据缺乏有效过滤与转义,攻击者利用该漏洞使用特制的有效载荷通过注入Article Title或Article Summary参数执行任意Web脚本或 HTML。
Severity
Patch Name
Emlog跨站脚本漏洞(CNVD-2023-36305)的补丁
Patch Description
emlog是emlog个人开发者的一套基于PHP和MySQL的CMS建站系统。 Emlog Pro v2.0.3版本存在跨站脚本漏洞。该漏洞源于应用对用户提供的数据缺乏有效过滤与转义,攻击者利用该漏洞使用特制的有效载荷通过注入Article Title或Article Summary参数执行任意Web脚本或 HTML。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://github.com/emlog/emlog/

Reference
https://github.com/emlog/emlog/issues/229
Impacted products
Name
emlog emlog pro v2.0.3
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-30338",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-30338"
    }
  },
  "description": "emlog\u662femlog\u4e2a\u4eba\u5f00\u53d1\u8005\u7684\u4e00\u5957\u57fa\u4e8ePHP\u548cMySQL\u7684CMS\u5efa\u7ad9\u7cfb\u7edf\u3002\n\nEmlog Pro v2.0.3\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u7f3a\u4e4f\u6709\u6548\u8fc7\u6ee4\u4e0e\u8f6c\u4e49\uff0c\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u4f7f\u7528\u7279\u5236\u7684\u6709\u6548\u8f7d\u8377\u901a\u8fc7\u6ce8\u5165Article Title\u6216Article Summary\u53c2\u6570\u6267\u884c\u4efb\u610fWeb\u811a\u672c\u6216 HTML\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://github.com/emlog/emlog/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-36305",
  "openTime": "2023-05-06",
  "patchDescription": "emlog\u662femlog\u4e2a\u4eba\u5f00\u53d1\u8005\u7684\u4e00\u5957\u57fa\u4e8ePHP\u548cMySQL\u7684CMS\u5efa\u7ad9\u7cfb\u7edf\u3002\r\n\r\nEmlog Pro v2.0.3\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u7f3a\u4e4f\u6709\u6548\u8fc7\u6ee4\u4e0e\u8f6c\u4e49\uff0c\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u4f7f\u7528\u7279\u5236\u7684\u6709\u6548\u8f7d\u8377\u901a\u8fc7\u6ce8\u5165Article Title\u6216Article Summary\u53c2\u6570\u6267\u884c\u4efb\u610fWeb\u811a\u672c\u6216 HTML\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": "Emlog\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2023-36305\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "emlog emlog pro v2.0.3"
  },
  "referenceLink": "https://github.com/emlog/emlog/issues/229",
  "serverity": "\u4e2d",
  "submitTime": "2023-05-05",
  "title": "Emlog\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2023-36305\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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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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