Vulnerability-Lookup

CNVD-2015-05168

Vulnerability from cnvd - Published: 2015-08-10

Title

GE Healthcare Centricity PACS Server内置账户漏洞

Description

GE Healthcare Centricity PACS是公司的一套用于医疗行业的影像归档及传输系统。 GE Healthcare Centricity PACS Server存在内置账户，nasro 密码为nasro，nasrw密码为nasrw，允许远程攻击者可利用这些账户控制设备。

Severity

高

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 4.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2012-6693"
    }
  },
  "description": "GE Healthcare Centricity PACS\u662f\u516c\u53f8\u7684\u4e00\u5957\u7528\u4e8e\u533b\u7597\u884c\u4e1a\u7684\u5f71\u50cf\u5f52\u6863\u53ca\u4f20\u8f93\u7cfb\u7edf\u3002\r\n\r\nGE Healthcare Centricity PACS Server\u5b58\u5728\u5185\u7f6e\u8d26\u6237\uff0cnasro \u5bc6\u7801\u4e3anasro\uff0cnasrw\u5bc6\u7801\u4e3anasrw\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8fd9\u4e9b\u8d26\u6237\u63a7\u5236\u8bbe\u5907\u3002",
  "discovererName": "unknown",
  "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-2015-05168",
  "openTime": "2015-08-10",
  "products": {
    "product": "General Electric Company Centricity PACS 4.0"
  },
  "referenceLink": "http://www.forbes.com/sites/thomasbrewster/2015/07/10/vulnerable-breasts/",
  "serverity": "\u9ad8",
  "submitTime": "2015-08-08",
  "title": "GE Healthcare Centricity PACS Server\u5185\u7f6e\u8d26\u6237\u6f0f\u6d1e"
}

CVE-2012-6693 (GCVE-0-2012-6693)

Vulnerability from cvelistv5 – Published: 2015-08-04 10:00 – Updated: 2024-08-06 21:36

Summary

GE Healthcare Centricity PACS 4.0 Server has a default password of (1) nasro for the nasro (ReadOnly) user and (2) nasrw for the nasrw (Read/Write) user, which has unspecified impact and attack vectors.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

5 references

URL	Tags
http://apps.gehealthcare.com/servlet/ClientServle…	x_refsource_CONFIRM
http://www.forbes.com/sites/thomasbrewster/2015/0…	x_refsource_MISC
https://twitter.com/digitalbond/status/6192504297…	x_refsource_MISC
https://ics-cert.us-cert.gov/advisories/ICSMA-18-037-02	x_refsource_MISC
http://apps.gehealthcare.com/servlet/ClientServle…	x_refsource_CONFIRM

Date Public

2012-08-07 00:00

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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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CNVD-2015-05168

CVE-2012-6693 (GCVE-0-2012-6693)

Tags

Sightings

Nomenclature

Related by attack behaviour