Vulnerability-Lookup

CNVD-2017-01691

Vulnerability from cnvd - Published: 2017-02-20

Title

Moodle PoodLL Filter插件跨站脚本漏洞

Description

Moodle是澳大利亚马丁-多基马（Martin Dougiamas）博士开发的一套免费、开源的电子学习软件平台，也称课程管理系统、学习管理系统或虚拟学习环境。PoodLL是添加音频和视频的插件集。 Moodle 的PoodLL Filter插件存在跨站脚本攻击漏洞，该漏洞源于未能对用户输入进行充分的验证。攻击者利用该漏洞在受影响的网站的用户浏览器上执行任意代码，窃取基于cookie认证证书，发动进一步的攻击。

Severity

中

Formal description

目前没有详细的解决方案提供： https://moodle.org/

Reference

https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2017-5945

Impacted products

Name
Moodle PoodLL Filter 3.0.20

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "96212"
    }
  },
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    "cve": {
      "cveNumber": "CVE-2017-5945",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-5945"
    }
  },
  "description": "Moodle\u662f\u6fb3\u5927\u5229\u4e9a\u9a6c\u4e01-\u591a\u57fa\u9a6c\uff08Martin Dougiamas\uff09\u535a\u58eb\u5f00\u53d1\u7684\u4e00\u5957\u514d\u8d39\u3001\u5f00\u6e90\u7684\u7535\u5b50\u5b66\u4e60\u8f6f\u4ef6\u5e73\u53f0\uff0c\u4e5f\u79f0\u8bfe\u7a0b\u7ba1\u7406\u7cfb\u7edf\u3001\u5b66\u4e60\u7ba1\u7406\u7cfb\u7edf\u6216\u865a\u62df\u5b66\u4e60\u73af\u5883\u3002PoodLL\u662f\u6dfb\u52a0\u97f3\u9891\u548c\u89c6\u9891\u7684\u63d2\u4ef6\u96c6\u3002\r\n\r\nMoodle \u7684PoodLL Filter\u63d2\u4ef6\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u653b\u51fb\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u80fd\u5bf9\u7528\u6237\u8f93\u5165\u8fdb\u884c\u5145\u5206\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u53d7\u5f71\u54cd\u7684\u7f51\u7ad9\u7684\u7528\u6237\u6d4f\u89c8\u5668\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u7a83\u53d6\u57fa\u4e8ecookie\u8ba4\u8bc1\u8bc1\u4e66\uff0c\u53d1\u52a8\u8fdb\u4e00\u6b65\u7684\u653b\u51fb\u3002",
  "discovererName": "Haojun Hou in ADLab of Venustech.",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttps://moodle.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-01691",
  "openTime": "2017-02-20",
  "products": {
    "product": "Moodle PoodLL Filter 3.0.20"
  },
  "referenceLink": "https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2017-5945",
  "serverity": "\u4e2d",
  "submitTime": "2017-02-13",
  "title": "Moodle PoodLL Filter\u63d2\u4ef6\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}

CVE-2017-5945 (GCVE-0-2017-5945)

Vulnerability from cvelistv5 – Published: 2017-02-10 06:51 – Updated: 2024-08-05 15:18

Summary

An issue was discovered in the PoodLL Filter plugin through 3.0.20 for Moodle. The vulnerability exists due to insufficient filtration of user-supplied data in the "poodll_audio_url" HTTP GET parameter passed to the "filter_poodll_moodle32_2016112802/poodll/mp3recorderskins/brazil/index.php" URL. An attacker could execute arbitrary HTML and script code in a browser in the context of the vulnerable website.

Severity

No CVSS data available.

CWE

Assigner

mitre

References

2 references

URL	Tags
https://github.com/justinhunt/moodle-filter_poodl…	x_refsource_MISC
http://www.securityfocus.com/bid/96212	vdb-entryx_refsource_BID

Date Public

2017-02-09 00:00

Show details on NVD website

JSON

To clipboard

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        }
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        },
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          ],
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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.

Action not permitted

CNVD-2017-01691

CVE-2017-5945 (GCVE-0-2017-5945)

Tags

Sightings

Nomenclature