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CNVD-2015-05171

Vulnerability from cnvd - Published: 2015-08-11
VLAI
Title
GE Healthcare CADStream Server内置账户漏洞
Description
GE Healthcare CADStream Server是一套用于医疗行业并为磁共振成像提供自动化分析和报告的应用程序。 GE Healthcare CADStream Server存在内置账户,admin使用‘confirma’密码,允许远程攻击者可利用这些账户控制设备。
Severity
Formal description

目前没有详细解决方案提供: http://www.gehealthcare.com/

Reference
http://www.forbes.com/sites/thomasbrewster/2015/07/10/vulnerable-breasts/
Impacted products
Name
General Electric Company CADStream Server
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2010-5309"
    }
  },
  "description": "GE Healthcare CADStream Server\u662f\u4e00\u5957\u7528\u4e8e\u533b\u7597\u884c\u4e1a\u5e76\u4e3a\u78c1\u5171\u632f\u6210\u50cf\u63d0\u4f9b\u81ea\u52a8\u5316\u5206\u6790\u548c\u62a5\u544a\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nGE Healthcare CADStream Server\u5b58\u5728\u5185\u7f6e\u8d26\u6237\uff0cadmin\u4f7f\u7528\u2018confirma\u2019\u5bc6\u7801\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8fd9\u4e9b\u8d26\u6237\u63a7\u5236\u8bbe\u5907\u3002",
  "discovererName": "General Electric Company",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttp://www.gehealthcare.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-05171",
  "openTime": "2015-08-11",
  "products": {
    "product": "General Electric Company CADStream Server"
  },
  "referenceLink": "http://www.forbes.com/sites/thomasbrewster/2015/07/10/vulnerable-breasts/",
  "serverity": "\u9ad8",
  "submitTime": "2015-08-08",
  "title": "GE Healthcare CADStream Server\u5185\u7f6e\u8d26\u6237\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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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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