Vulnerability-Lookup

CNVD-2016-02153

Vulnerability from cnvd - Published: 2016-04-13

Title

Red Hat CloudForms Management Engine信息泄露漏洞

Description

Red Hat CloudForms Management Engine（CFME）是美国红帽（Red Hat）公司的一个IaaS（基础设施即服务）云服务解决方案的管理引擎。 Red Hat CFME 5.4.4版本（CloudForms 3.2版本）和5.5.0版本（CloudForms 4.0版本）中存在安全漏洞，该漏洞源于程序未能正确加密后端PostgreSQL数据库中的数据。本地攻击者可通过访问数据库导出或日志文件利用该漏洞获取敏感信息和权限。

Severity

中

Patch Name

Red Hat CloudForms Management Engine信息泄露漏洞的补丁

Patch Description

Formal description

目前厂商已经发布了升级补丁以修复此安全问题，补丁获取链接： https://bugzilla.redhat.com/show_bug.cgi?id=1283019

Reference

http://rhn.redhat.com/errata/RHSA-2015-2620.html https://bugzilla.redhat.com/show_bug.cgi?id=1283019 https://access.redhat.com/errata/RHSA-2015:2551

Impacted products

Name
['Red Hat CloudForms 3.2 Management Engine (CFME) 5.4.4', 'Red Hat CloudForms 4.0 Management Engine (CFME) 5.5.0']

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2015-7502"
    }
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  "discovererName": "Kurt Seifried",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://bugzilla.redhat.com/show_bug.cgi?id=1283019",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-02153",
  "openTime": "2016-04-13",
  "patchDescription": "Red Hat CloudForms Management Engine\uff08CFME\uff09\u662f\u7f8e\u56fd\u7ea2\u5e3d\uff08Red Hat\uff09\u516c\u53f8\u7684\u4e00\u4e2aIaaS\uff08\u57fa\u7840\u8bbe\u65bd\u5373\u670d\u52a1\uff09\u4e91\u670d\u52a1\u89e3\u51b3\u65b9\u6848\u7684\u7ba1\u7406\u5f15\u64ce\u3002\r\n\r\nRed Hat CFME 5.4.4\u7248\u672c\uff08CloudForms 3.2\u7248\u672c\uff09\u548c5.5.0\u7248\u672c\uff08CloudForms 4.0\u7248\u672c\uff09\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u52a0\u5bc6\u540e\u7aefPostgreSQL\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u8bbf\u95ee\u6570\u636e\u5e93\u5bfc\u51fa\u6216\u65e5\u5fd7\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u548c\u6743\u9650\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": "Red Hat CloudForms Management Engine\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Red Hat CloudForms 3.2 Management Engine (CFME)  5.4.4",
      "Red Hat CloudForms 4.0 Management Engine (CFME)  5.5.0"
    ]
  },
  "referenceLink": "http://rhn.redhat.com/errata/RHSA-2015-2620.html\r\nhttps://bugzilla.redhat.com/show_bug.cgi?id=1283019\r\nhttps://access.redhat.com/errata/RHSA-2015:2551",
  "serverity": "\u4e2d",
  "submitTime": "2016-04-12",
  "title": "Red Hat CloudForms Management Engine\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2015-7502 (GCVE-0-2015-7502)

Vulnerability from cvelistv5 – Published: 2016-04-11 21:00 – Updated: 2024-08-06 07:51

Summary

Red Hat CloudForms 3.2 Management Engine (CFME) 5.4.4 and CloudForms 4.0 Management Engine (CFME) 5.5.0 do not properly encrypt data in the backend PostgreSQL database, which might allow local users to obtain sensitive data and consequently gain privileges by leveraging access to (1) database exports or (2) log files.

Severity

No CVSS data available.

CWE

Assigner

redhat redhat root

References

3 references

URL	Tags
https://access.redhat.com/errata/RHSA-2015:2551	vendor-advisoryx_refsource_REDHAT
http://rhn.redhat.com/errata/RHSA-2015-2620.html	vendor-advisoryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=1283019	x_refsource_CONFIRM

Date Public

2015-12-08 00:00

Show details on NVD website

JSON

To clipboard

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    "cna": {
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      ],
      "datePublic": "2015-12-08T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "Red Hat CloudForms 3.2 Management Engine (CFME) 5.4.4 and CloudForms 4.0 Management Engine (CFME) 5.5.0 do not properly encrypt data in the backend PostgreSQL database, which might allow local users to obtain sensitive data and consequently gain privileges by leveraging access to (1) database exports or (2) log files."
        }
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        "dateUpdated": "2016-04-11T20:57:01.000Z",
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    "datePublished": "2016-04-11T21:00:00.000Z",
    "dateReserved": "2015-09-29T00:00:00.000Z",
    "dateUpdated": "2024-08-06T07:51:28.180Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "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.