CNVD-2026-26531
Vulnerability from cnvd - Published: 2026-07-06
VLAI
Title
J-BusinessDirectory SQL注入漏洞
Description
J-BusinessDirectory是一款Joomla组件,用于扩展Joomla站点的内容和业务功能。
J-BusinessDirectory存在SQL注入漏洞。该漏洞产生的原因是categories.getCategories任务未对type参数中的SQL语句片段进行充分过滤。攻击者可利用该漏洞执行任意SQL查询,从数据库中提取schema名称和敏感数据。
Severity
高
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://www.vulncheck.com/advisories/joomla-component-j-businessdirectory-sql-injection
Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-25752
Impacted products
| Name | j-businessdirectory j-businessdirectory 4.9.7 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2019-25752",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-25752"
}
},
"description": "J-BusinessDirectory\u662f\u4e00\u6b3eJoomla\u7ec4\u4ef6\uff0c\u7528\u4e8e\u6269\u5c55Joomla\u7ad9\u70b9\u7684\u5185\u5bb9\u548c\u4e1a\u52a1\u529f\u80fd\u3002\n\nJ-BusinessDirectory\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u4ea7\u751f\u7684\u539f\u56e0\u662fcategories.getCategories\u4efb\u52a1\u672a\u5bf9type\u53c2\u6570\u4e2d\u7684SQL\u8bed\u53e5\u7247\u6bb5\u8fdb\u884c\u5145\u5206\u8fc7\u6ee4\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610fSQL\u67e5\u8be2\uff0c\u4ece\u6570\u636e\u5e93\u4e2d\u63d0\u53d6schema\u540d\u79f0\u548c\u654f\u611f\u6570\u636e\u3002",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.vulncheck.com/advisories/joomla-component-j-businessdirectory-sql-injection",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2026-26531",
"openTime": "2026-07-06",
"products": {
"product": "j-businessdirectory j-businessdirectory 4.9.7"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-25752",
"serverity": "\u9ad8",
"submitTime": "2026-06-24",
"title": "J-BusinessDirectory 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.
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