Vulnerability-Lookup

CNVD-2016-08224

Vulnerability from cnvd - Published: 2016-09-28

Title

Joomla! Huge-IT Video Gallery扩展SQL注入漏洞

Description

Joomla!是美国Open Source Matters团队开发的一套开源的内容管理系统(CMS)，该系统提供RSS馈送、网站搜索等功能。Huge-IT Image Gallery是其中的一个图像库扩展插件。 Joomla! Huge-IT Video Gallery扩展1.0.9版本中存在SQL注入漏洞，该漏洞源于程序在构造SQL查询语句之前未能充分过滤用户提交的输入。攻击者可利用该漏洞控制应用程序，访问或修改数据，或利用底层数据库中潜在的漏洞。

Severity

中

Patch Name

Joomla! Huge-IT Video Gallery扩展SQL注入漏洞的补丁

Patch Description

Formal description

目前厂商已经发布了升级补丁以修复这个安全问题，请到厂商的主页下载： http://huge-it.com/joomla-video-gallery/

Reference

http://www.securityfocus.com/bid/93107

Impacted products

Name
Joomla! Huge-IT Video Gallery 1.0.9

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "93107"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-1000123"
    }
  },
  "description": "Joomla!\u662f\u7f8e\u56fdOpen Source Matters\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u5957\u5f00\u6e90\u7684\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf(CMS)\uff0c\u8be5\u7cfb\u7edf\u63d0\u4f9bRSS\u9988\u9001\u3001\u7f51\u7ad9\u641c\u7d22\u7b49\u529f\u80fd\u3002Huge-IT Image Gallery\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u56fe\u50cf\u5e93\u6269\u5c55\u63d2\u4ef6\u3002\r\n\r\nJoomla! Huge-IT Video Gallery\u6269\u5c551.0.9\u7248\u672c\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5728\u6784\u9020SQL\u67e5\u8be2\u8bed\u53e5\u4e4b\u524d\u672a\u80fd\u5145\u5206\u8fc7\u6ee4\u7528\u6237\u63d0\u4ea4\u7684\u8f93\u5165\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63a7\u5236\u5e94\u7528\u7a0b\u5e8f\uff0c\u8bbf\u95ee\u6216\u4fee\u6539\u6570\u636e\uff0c\u6216\u5229\u7528\u5e95\u5c42\u6570\u636e\u5e93\u4e2d\u6f5c\u5728\u7684\u6f0f\u6d1e\u3002",
  "discovererName": "Larry W. Cashdollar, @_larry0.",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttp://huge-it.com/joomla-video-gallery/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-08224",
  "openTime": "2016-09-28",
  "patchDescription": "Joomla!\u662f\u7f8e\u56fdOpen Source Matters\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u5957\u5f00\u6e90\u7684\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf(CMS)\uff0c\u8be5\u7cfb\u7edf\u63d0\u4f9bRSS\u9988\u9001\u3001\u7f51\u7ad9\u641c\u7d22\u7b49\u529f\u80fd\u3002Huge-IT Image Gallery\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u56fe\u50cf\u5e93\u6269\u5c55\u63d2\u4ef6\u3002\r\n\r\nJoomla! Huge-IT Video Gallery\u6269\u5c551.0.9\u7248\u672c\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5728\u6784\u9020SQL\u67e5\u8be2\u8bed\u53e5\u4e4b\u524d\u672a\u80fd\u5145\u5206\u8fc7\u6ee4\u7528\u6237\u63d0\u4ea4\u7684\u8f93\u5165\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63a7\u5236\u5e94\u7528\u7a0b\u5e8f\uff0c\u8bbf\u95ee\u6216\u4fee\u6539\u6570\u636e\uff0c\u6216\u5229\u7528\u5e95\u5c42\u6570\u636e\u5e93\u4e2d\u6f5c\u5728\u7684\u6f0f\u6d1e\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": "Joomla! Huge-IT Video Gallery\u6269\u5c55SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Joomla! Huge-IT Video Gallery 1.0.9"
  },
  "referenceLink": "http://www.securityfocus.com/bid/93107",
  "serverity": "\u4e2d",
  "submitTime": "2016-09-27",
  "title": "Joomla! Huge-IT Video Gallery\u6269\u5c55SQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2016-1000123 (GCVE-0-2016-1000123)

Vulnerability from cvelistv5 – Published: 2016-10-06 14:00 – Updated: 2024-08-06 03:55

Summary

Unauthenticated SQL Injection in Huge-IT Video Gallery v1.0.9 for Joomla

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

4 references

URL	Tags
http://www.securityfocus.com/bid/93107	vdb-entryx_refsource_BID
https://www.exploit-db.com/exploits/42596/	exploitx_refsource_EXPLOIT-DB
http://www.vapidlabs.com/advisory.php?v=169	x_refsource_MISC
http://huge-it.com/joomla-video-gallery/	x_refsource_MISC

Date Public

2016-09-20 00:00

Show details on NVD website

JSON

To clipboard

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          }
        ],
        "title": "CVE Program Container"
      }
    ],
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      "descriptions": [
        {
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          "value": "Unauthenticated SQL Injection in Huge-IT Video Gallery v1.0.9 for Joomla"
        }
      ],
      "problemTypes": [
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      "providerMetadata": {
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      "x_legacyV4Record": {
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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.