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CNVD-2019-01297

Vulnerability from cnvd - Published: 2019-01-14
VLAI
Title
Imperva SecureSphere本地任意代码执行漏洞
Description
Imperva SecureSphere是美国Imperva公司的一套高性能、集中式数据安全防护管理产品。该产品提供对不同的SecureSphere产品进行统一审核、报告和记录、可视化的安全状态和实时监控事件、管理和分配策略等功能。 Imperva SecureSphere 12.0.0.50版本中存在安全漏洞。本地攻击者可利用该漏洞执行任意代码。
Severity
Formal description

厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://www.imperva.com/products/securesphere/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-5412
Impacted products
Name
Imperva SecureSphere 12.0.0.50
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-5412"
    }
  },
  "description": "Imperva SecureSphere\u662f\u7f8e\u56fdImperva\u516c\u53f8\u7684\u4e00\u5957\u9ad8\u6027\u80fd\u3001\u96c6\u4e2d\u5f0f\u6570\u636e\u5b89\u5168\u9632\u62a4\u7ba1\u7406\u4ea7\u54c1\u3002\u8be5\u4ea7\u54c1\u63d0\u4f9b\u5bf9\u4e0d\u540c\u7684SecureSphere\u4ea7\u54c1\u8fdb\u884c\u7edf\u4e00\u5ba1\u6838\u3001\u62a5\u544a\u548c\u8bb0\u5f55\u3001\u53ef\u89c6\u5316\u7684\u5b89\u5168\u72b6\u6001\u548c\u5b9e\u65f6\u76d1\u63a7\u4e8b\u4ef6\u3001\u7ba1\u7406\u548c\u5206\u914d\u7b56\u7565\u7b49\u529f\u80fd\u3002\n\nImperva SecureSphere 12.0.0.50\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\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\nhttps://www.imperva.com/products/securesphere/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-01297",
  "openTime": "2019-01-14",
  "products": {
    "product": "Imperva SecureSphere 12.0.0.50"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-5412",
  "serverity": "\u4e2d",
  "submitTime": "2019-01-11",
  "title": "Imperva SecureSphere\u672c\u5730\u4efb\u610f\u4ee3\u7801\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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Nomenclature

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