CNVD-2015-07911

Vulnerability from cnvd - Published: 2015-12-04
VLAI
Title
Epiphany Healthcare Cardio Server SQL和LDAP注入漏洞
Description
Epiphany Healthcare Cardio Server是英国Epiphany Healthcare公司的一套可扩展的心电图管理系统。 Epiphany Healthcare Cardio Server 4.0之前版本中存在安全漏洞。本地攻击者可通过在登陆页面的URL中插入LDAP查询利用该漏洞绕过身份验证,访问和修改明文信息。
Severity
高
Patch Name
Epiphany Healthcare Cardio Server SQL和LDAP注入漏洞的补丁
Patch Description
Epiphany Healthcare Cardio Server是英国Epiphany Healthcare公司的一套可扩展的心电图管理系统。 Epiphany Healthcare Cardio Server 4.0之前版本中存在安全漏洞。本地攻击者可通过在登陆页面的URL中插入LDAP查询利用该漏洞绕过身份验证,访问和修改明文信息。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

目前厂商已经发布了升级补丁以修复此安全问题,详情请关注厂商主页: http://www.epiphanyhealthdata.com/

Reference
http://www.kb.cert.org/vuls/id/630239
Impacted products
Name
Epiphany Healthcare Cardio Server <4.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-6538"
    }
  },
  "description": "Epiphany Healthcare Cardio Server\u662f\u82f1\u56fdEpiphany Healthcare\u516c\u53f8\u7684\u4e00\u5957\u53ef\u6269\u5c55\u7684\u5fc3\u7535\u56fe\u7ba1\u7406\u7cfb\u7edf\u3002\r\n\r\nEpiphany Healthcare Cardio Server 4.0\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5728\u767b\u9646\u9875\u9762\u7684URL\u4e2d\u63d2\u5165LDAP\u67e5\u8be2\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u8eab\u4efd\u9a8c\u8bc1\uff0c\u8bbf\u95ee\u548c\u4fee\u6539\u660e\u6587\u4fe1\u606f\u3002",
  "discovererName": "Alex Lauerman",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttp://www.epiphanyhealthdata.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-07911",
  "openTime": "2015-12-04",
  "patchDescription": "Epiphany Healthcare Cardio Server\u662f\u82f1\u56fdEpiphany Healthcare\u516c\u53f8\u7684\u4e00\u5957\u53ef\u6269\u5c55\u7684\u5fc3\u7535\u56fe\u7ba1\u7406\u7cfb\u7edf\u3002\r\n\r\nEpiphany Healthcare Cardio Server 4.0\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5728\u767b\u9646\u9875\u9762\u7684URL\u4e2d\u63d2\u5165LDAP\u67e5\u8be2\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u8eab\u4efd\u9a8c\u8bc1\uff0c\u8bbf\u95ee\u548c\u4fee\u6539\u660e\u6587\u4fe1\u606f\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": "Epiphany Healthcare Cardio Server SQL\u548cLDAP\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Epiphany Healthcare Cardio Server \u003c4.0"
  },
  "referenceLink": "http://www.kb.cert.org/vuls/id/630239",
  "serverity": "\u9ad8",
  "submitTime": "2015-12-03",
  "title": "Epiphany Healthcare Cardio Server SQL\u548cLDAP\u6ce8\u5165\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

  • 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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