Vulnerability-Lookup

CNVD-2018-07457

Vulnerability from cnvd - Published: 2018-04-11

Title

DocuTrac QuicDoc和Office Therapy DTISQLInstaller.exe信息泄露漏洞

Description

DocuTrac QuicDoc和Office Therapy都是美国DocuTrac公司的产品。DocuTrac QuicDoc是一套用于医疗团队的行为健康管理软件。Office Therapy是一套办公室诊疗管理系统。DTISQLInstaller.exe是其中的一个可执行程序。 DocuTrac QuicDoc和Office Therapy中的DTISQLInstaller.exe 1.6.4.0及之前版本存在安全漏洞，该漏洞源于该软件的三个凭证带有已知密码：QDMaster、OTMaster和sa。攻击者可利用该漏洞控制病人信息的数据库，并可能控制主机操作系统。

Severity

高

Formal description

目前没有详细的解决方案提供： http://www.docutracinc.com

Reference

http://www.docutracinc.com

Impacted products

Name
['DocuTrac QuicDoc <=1.6.4.0', 'DocuTrac Office Therapy <=1.6.4.0']

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-5551",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-5551"
    }
  },
  "description": "DocuTrac QuicDoc\u548cOffice Therapy\u90fd\u662f\u7f8e\u56fdDocuTrac\u516c\u53f8\u7684\u4ea7\u54c1\u3002DocuTrac QuicDoc\u662f\u4e00\u5957\u7528\u4e8e\u533b\u7597\u56e2\u961f\u7684\u884c\u4e3a\u5065\u5eb7\u7ba1\u7406\u8f6f\u4ef6\u3002Office Therapy\u662f\u4e00\u5957\u529e\u516c\u5ba4\u8bca\u7597\u7ba1\u7406\u7cfb\u7edf\u3002DTISQLInstaller.exe\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u53ef\u6267\u884c\u7a0b\u5e8f\u3002\r\n\r\nDocuTrac QuicDoc\u548cOffice Therapy\u4e2d\u7684DTISQLInstaller.exe 1.6.4.0\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8be5\u8f6f\u4ef6\u7684\u4e09\u4e2a\u51ed\u8bc1\u5e26\u6709\u5df2\u77e5\u5bc6\u7801\uff1aQDMaster\u3001OTMaster\u548csa\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63a7\u5236\u75c5\u4eba\u4fe1\u606f\u7684\u6570\u636e\u5e93\uff0c\u5e76\u53ef\u80fd\u63a7\u5236\u4e3b\u673a\u64cd\u4f5c\u7cfb\u7edf\u3002",
  "discovererName": "unknown",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttp://www.docutracinc.com",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-07457",
  "openTime": "2018-04-11",
  "products": {
    "product": [
      "DocuTrac QuicDoc \u003c=1.6.4.0",
      "DocuTrac Office Therapy \u003c=1.6.4.0"
    ]
  },
  "referenceLink": "http://www.docutracinc.com",
  "serverity": "\u9ad8",
  "submitTime": "2018-03-21",
  "title": "DocuTrac QuicDoc\u548cOffice Therapy DTISQLInstaller.exe\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2018-5551 (GCVE-0-2018-5551)

Vulnerability from cvelistv5 – Published: 2018-03-19 15:00 – Updated: 2024-08-05 05:40

Title

DocuTrac DTISQLInstaller.exe Hard-Coded Credentials

Summary

Versions of DocuTrac QuicDoc and Office Therapy that ship with DTISQLInstaller.exe version 1.6.4.0 and prior contain three credentials with known passwords: QDMaster, OTMaster, and sa.

Severity

9 (Critical)


                        
                          CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H

CWE

CWE-798 - Hard-Coded Credentials (CWE-798)

Assigner

rapid7 mitre root

References

1 reference

URL	Tags
https://blog.rapid7.com/2018/03/14/r7-2018-01-cve…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
DocuTrac	DTISQLInstaller.exe	Affected: unspecified , ≤ 1.6.4.0 (custom)

Date Public

2018-03-19 00:00

Show details on NVD website

JSON

To clipboard

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        "providerMetadata": {
          "dateUpdated": "2024-08-05T05:40:50.612Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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          {
            "tags": [
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              "x_transferred"
            ],
            "url": "https://blog.rapid7.com/2018/03/14/r7-2018-01-cve-2018-5551-cve-2018-5552-docutrac-office-therapy-installer-hard-coded-credentials-and-cryptographic-salt/"
          }
        ],
        "title": "CVE Program Container"
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    ],
    "cna": {
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          "platforms": [
            "Windows"
          ],
          "product": "DTISQLInstaller.exe",
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          "versions": [
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        }
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        {
          "cvssV3_0": {
            "attackComplexity": "HIGH",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "CHANGED",
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            "vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H",
            "version": "3.0"
          }
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        }
      ],
      "source": {
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      },
      "title": "DocuTrac DTISQLInstaller.exe Hard-Coded Credentials",
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        },
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                    {
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    "state": "PUBLISHED"
  },
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  "dataVersion": "5.1"
}

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.