CNVD-2017-35521

Vulnerability from cnvd - Published: 2017-11-30
VLAI
Title
LetoDMS存在多个跨站脚本漏洞(CNVD-2017-35521)
Description
LetoDMS(前称MyDMS)是一套使用PHP和MySQL开发的基于Web的开源文档管理系统。 LetoDMS 3.3.8之前的版本中存在多个跨站脚本漏洞。远程攻击者可借助inc/inc.ClassUI.php或out/out.DocumentNotify.php文件中的参数利用该漏洞注入任意的Web脚本或HTML。
Severity
中
Patch Name
LetoDMS存在多个跨站脚本漏洞(CNVD-2017-35521)的补丁
Patch Description
LetoDMS(前称MyDMS)是一套使用PHP和MySQL开发的基于Web的开源文档管理系统。 LetoDMS 3.3.8之前的版本中存在多个跨站脚本漏洞。远程攻击者可借助inc/inc.ClassUI.php或out/out.DocumentNotify.php文件中的参数利用该漏洞注入任意的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

厂商已发布漏洞修复程序,请及时关注更新: https://sourceforge.net/p/mydms/code/HEAD/tree/trunk/CHANGELOG

Reference
https://nvd.nist.gov/vuln/detail/CVE-2012-4567
Impacted products
Name
LetoDMS LetoDMS <3.3.8
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "55822"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2012-4567"
    }
  },
  "description": "LetoDMS\uff08\u524d\u79f0MyDMS\uff09\u662f\u4e00\u5957\u4f7f\u7528PHP\u548cMySQL\u5f00\u53d1\u7684\u57fa\u4e8eWeb\u7684\u5f00\u6e90\u6587\u6863\u7ba1\u7406\u7cfb\u7edf\u3002\r\n\r\nLetoDMS 3.3.8\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9inc/inc.ClassUI.php\u6216out/out.DocumentNotify.php\u6587\u4ef6\u4e2d\u7684\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165\u4efb\u610f\u7684Web\u811a\u672c\u6216HTML\u3002",
  "discovererName": "Raphael Geissert",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://sourceforge.net/p/mydms/code/HEAD/tree/trunk/CHANGELOG",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-35521",
  "openTime": "2017-11-30",
  "patchDescription": "LetoDMS\uff08\u524d\u79f0MyDMS\uff09\u662f\u4e00\u5957\u4f7f\u7528PHP\u548cMySQL\u5f00\u53d1\u7684\u57fa\u4e8eWeb\u7684\u5f00\u6e90\u6587\u6863\u7ba1\u7406\u7cfb\u7edf\u3002\r\n\r\nLetoDMS 3.3.8\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9inc/inc.ClassUI.php\u6216out/out.DocumentNotify.php\u6587\u4ef6\u4e2d\u7684\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165\u4efb\u610f\u7684Web\u811a\u672c\u6216HTML\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": "LetoDMS\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2017-35521\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "LetoDMS LetoDMS \u003c3.3.8"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2012-4567",
  "serverity": "\u4e2d",
  "submitTime": "2017-10-24",
  "title": "LetoDMS\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2017-35521\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.
  • 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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