CNVD-2020-01200
Vulnerability from cnvd - Published: 2020-01-09
VLAI Severity ?
Title
Dairy Farm Shop Management System SQL注入漏洞
Description
Dairy Farm Shop Management System是一套基于PHP和MySQL的奶牛场管理系统。
Dairy Farm Shop Management System 1.0版本中存在SQL注入漏洞。该漏洞源于基于数据库的应用缺少对外部输入SQL语句的验证。攻击者可利用该漏洞执行非法SQL命令。
Severity
高
Formal description
目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法: https://phpgurukul.com/
Reference
https://cinzinga.github.io/CVE-2020-5307-5308/
https://www.exploit-db.com/exploits/47846
Impacted products
| Name | Phpgurukul Dairy Farm Shop Management System 1.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-5307"
}
},
"description": "Dairy Farm Shop Management System\u662f\u4e00\u5957\u57fa\u4e8ePHP\u548cMySQL\u7684\u5976\u725b\u573a\u7ba1\u7406\u7cfb\u7edf\u3002\n\nDairy Farm Shop Management System 1.0\u7248\u672c\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u57fa\u4e8e\u6570\u636e\u5e93\u7684\u5e94\u7528\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://phpgurukul.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2020-01200",
"openTime": "2020-01-09",
"products": {
"product": "Phpgurukul Dairy Farm Shop Management System 1.0"
},
"referenceLink": "https://cinzinga.github.io/CVE-2020-5307-5308/\r\nhttps://www.exploit-db.com/exploits/47846",
"serverity": "\u9ad8",
"submitTime": "2020-01-08",
"title": "Dairy Farm Shop Management System 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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