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CNVD-2019-00330

Vulnerability from cnvd - Published: 2019-01-04
VLAI
Title
GetSimple CMS HTML文件执行漏洞
Description
Cagintranet GetSimple CMS是美国Cagintranet Networks公司的一套基于XML的内容管理系统(CMS)。该系统包含主题选择器和编辑器、组件编辑器、图像和文件管理器等。 Cagintranet GetSimple CMS 3.3.15版本中存在安全漏洞。攻击者可利用该漏洞执行HTML文件。
Severity
Formal description

厂商尚未提供漏洞修复方案,请关注厂商主页更新: http://get-simple.info/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-19421
Impacted products
Name
Cagintranet Networks Cagintranet GetSimple CMS 3.3.15
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-19421"
    }
  },
  "description": "Cagintranet GetSimple CMS\u662f\u7f8e\u56fdCagintranet Networks\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eXML\u7684\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff08CMS\uff09\u3002\u8be5\u7cfb\u7edf\u5305\u542b\u4e3b\u9898\u9009\u62e9\u5668\u548c\u7f16\u8f91\u5668\u3001\u7ec4\u4ef6\u7f16\u8f91\u5668\u3001\u56fe\u50cf\u548c\u6587\u4ef6\u7ba1\u7406\u5668\u7b49\u3002\n\nCagintranet GetSimple CMS 3.3.15\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884cHTML\u6587\u4ef6\u3002",
  "discovererName": "unKnow",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttp://get-simple.info/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-00330",
  "openTime": "2019-01-04",
  "products": {
    "product": "Cagintranet Networks Cagintranet GetSimple CMS 3.3.15"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-19421",
  "serverity": "\u4e2d",
  "submitTime": "2018-11-22",
  "title": "GetSimple CMS HTML\u6587\u4ef6\u6267\u884c\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

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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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