CNVD-2018-03430
Vulnerability from cnvd - Published: 2018-02-24
VLAI
Title
Joomla! Component CW Tags 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),它提供RSS馈送、网站搜索等功能。
Joomla! Component CW Tags 2.0.6版本存在SQL注入漏洞,攻击者可利用该漏洞危及应用程序,访问或修改数据,或利用底层数据库中潜在的漏洞。
Severity
高
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页及时更新: https://extensions.joomla.org/extensions/extension/search-a-indexing/tags-a-clouds/cw-tags/
Reference
http://www.exploitalert.com/view-details.html?id=28980
Impacted products
| Name | Joomla! Component CW Tags 2.0.6 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2018-7313"
}
},
"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\u5b83\u63d0\u4f9bRSS\u9988\u9001\u3001\u7f51\u7ad9\u641c\u7d22\u7b49\u529f\u80fd\u3002\r\n\r\nJoomla! Component CW Tags 2.0.6\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5371\u53ca\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": "Ihsan Sencan",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u53ca\u65f6\u66f4\u65b0\uff1a\r\nhttps://extensions.joomla.org/extensions/extension/search-a-indexing/tags-a-clouds/cw-tags/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2018-03430",
"openTime": "2018-02-24",
"products": {
"product": "Joomla! Component CW Tags 2.0.6"
},
"referenceLink": "http://www.exploitalert.com/view-details.html?id=28980",
"serverity": "\u9ad8",
"submitTime": "2018-02-23",
"title": "Joomla! Component CW Tags SQL\u6ce8\u5165\u6f0f\u6d1e"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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.
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