CNVD-2015-05174

Vulnerability from cnvd - Published: 2015-08-11
VLAI
Title
GE Healthcare Centricity PACS-IW内置账户漏洞(CNVD-2015-05174)
Description
GE Healthcare Centricity PACS-IW是一套用于医疗行业的影像归档及传输系统. GE Healthcare Centricity PACS-IW存在内置账户,sa用户使用‘A11enda1e’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 Centricity PACS-IW 3.7.3.7', 'General Electric Company Centricity PACS-IW 3.7.3.8']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2011-5323"
    }
  },
  "description": "GE Healthcare Centricity PACS-IW\u662f\u4e00\u5957\u7528\u4e8e\u533b\u7597\u884c\u4e1a\u7684\u5f71\u50cf\u5f52\u6863\u53ca\u4f20\u8f93\u7cfb\u7edf.\r\n\r\nGE Healthcare Centricity PACS-IW\u5b58\u5728\u5185\u7f6e\u8d26\u6237\uff0csa\u7528\u6237\u4f7f\u7528\u2018A11enda1e\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-2015-05174",
  "openTime": "2015-08-11",
  "products": {
    "product": [
      "General Electric Company Centricity PACS-IW 3.7.3.7",
      "General Electric Company Centricity PACS-IW 3.7.3.8"
    ]
  },
  "referenceLink": "http://www.forbes.com/sites/thomasbrewster/2015/07/10/vulnerable-breasts/",
  "serverity": "\u9ad8",
  "submitTime": "2015-08-08",
  "title": "GE Healthcare Centricity PACS-IW\u5185\u7f6e\u8d26\u6237\u6f0f\u6d1e\uff08CNVD-2015-05174\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.

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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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