Vulnerability-Lookup

CNVD-2017-36195

Vulnerability from cnvd - Published: 2017-12-05

Title

Catalyst Mahara用户登录漏洞

Description

Catalyst Mahara是新西兰Catalyst IT公司的一套社交网络系统。该系统包含博客、履历表生成器、文件管理器等。 Catalyst Mahara 15.04.8之前的15.04版本、15.10.4之前的15.10版本和16.04.2之前的16.04版本存在安全漏洞，该漏洞源于程序未能正确的执行MNet SSO API函数。攻击者可利用该漏洞造成用户无法注销Mahara。

Severity

中

Patch Name

Catalyst Mahara用户登录漏洞的补丁

Patch Description

Formal description

厂商已发布漏洞修复程序，请及时关注更新： https://bugs.launchpad.net/mahara/+bug/1084336

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-1000131

Impacted products

Name
['Catalyst IT Mahara 16.04 (<16.04.2)', 'Catalyst IT Mahara 15.10 (<15.10.4)', 'Catalyst IT Mahara 15.04 (<15.04.8)']

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-1000131"
    }
  },
  "description": "Catalyst Mahara\u662f\u65b0\u897f\u5170Catalyst IT\u516c\u53f8\u7684\u4e00\u5957\u793e\u4ea4\u7f51\u7edc\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u5305\u542b\u535a\u5ba2\u3001\u5c65\u5386\u8868\u751f\u6210\u5668\u3001\u6587\u4ef6\u7ba1\u7406\u5668\u7b49\u3002\r\n\r\nCatalyst Mahara 15.04.8\u4e4b\u524d\u768415.04\u7248\u672c\u300115.10.4\u4e4b\u524d\u768415.10\u7248\u672c\u548c16.04.2\u4e4b\u524d\u768416.04\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u7684\u6267\u884cMNet SSO API\u51fd\u6570\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u7528\u6237\u65e0\u6cd5\u6ce8\u9500Mahara\u3002",
  "discovererName": "Hugh Davenport",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://bugs.launchpad.net/mahara/+bug/1084336",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-36195",
  "openTime": "2017-12-05",
  "patchDescription": "Catalyst Mahara\u662f\u65b0\u897f\u5170Catalyst IT\u516c\u53f8\u7684\u4e00\u5957\u793e\u4ea4\u7f51\u7edc\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u5305\u542b\u535a\u5ba2\u3001\u5c65\u5386\u8868\u751f\u6210\u5668\u3001\u6587\u4ef6\u7ba1\u7406\u5668\u7b49\u3002\r\n\r\nCatalyst Mahara 15.04.8\u4e4b\u524d\u768415.04\u7248\u672c\u300115.10.4\u4e4b\u524d\u768415.10\u7248\u672c\u548c16.04.2\u4e4b\u524d\u768416.04\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u7684\u6267\u884cMNet SSO API\u51fd\u6570\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u7528\u6237\u65e0\u6cd5\u6ce8\u9500Mahara\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": "Catalyst Mahara\u7528\u6237\u767b\u5f55\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Catalyst IT Mahara 16.04 (\u003c16.04.2)",
      "Catalyst IT Mahara 15.10 (\u003c15.10.4)",
      "Catalyst IT Mahara 15.04 (\u003c15.04.8)"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-1000131",
  "serverity": "\u4e2d",
  "submitTime": "2017-11-06",
  "title": "Catalyst Mahara\u7528\u6237\u767b\u5f55\u6f0f\u6d1e"
}

CVE-2017-1000131 (GCVE-0-2017-1000131)

Vulnerability from cvelistv5 – Published: 2017-11-03 18:00 – Updated: 2024-08-05 21:53

Summary

Mahara 15.04 before 15.04.8 and 15.10 before 15.10.4 and 16.04 before 16.04.2 are vulnerable to users staying logged in to their Mahara account even when they have been logged out of Moodle (when using MNet) as Mahara did not properly implement one of the MNet SSO API functions.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://bugs.launchpad.net/mahara/+bug/1084336	x_refsource_MISC

Date Public

2017-11-03 00:00

Show details on NVD website

JSON

To clipboard

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            "url": "https://bugs.launchpad.net/mahara/+bug/1084336"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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      "datePublic": "2017-11-03T00:00:00.000Z",
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        }
      ],
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      "providerMetadata": {
        "dateUpdated": "2017-11-03T17:57:01.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://bugs.launchpad.net/mahara/+bug/1084336"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "DATE_ASSIGNED": "2017-08-22T17:29:33.344430",
          "ID": "CVE-2017-1000131",
          "REQUESTER": "info@mahara.org",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
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                "product": {
                  "product_data": [
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                      "version": {
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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.