CNVD-2022-56699
Vulnerability from cnvd - Published: 2022-08-11
VLAI
Title
Clinics Patient Management System SQL注入漏洞
Description
Clinics Patient Management System是一个诊所病人管理系统。
Clinics Patient Management System 2.0版本存在SQL注入漏洞,该漏洞源于参数user_name会导致SQL注入,攻击者可利用该漏洞执行非法SQL命令。
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.sourcecodester.com/php-clinics-patient-management-system-source-code
Reference
https://github.com/CyberThoth/CVE/blob/63e283e7d7dad3783237f15cdae2bb649bc1e198/CVE/Clinic's%20Patient%20Management%20System/SQLi/POC.md
Impacted products
| Name | Clinics Patient Management System Clinics Patient Management System 2.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2022-2298",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-2298"
}
},
"description": "Clinics Patient Management System\u662f\u4e00\u4e2a\u8bca\u6240\u75c5\u4eba\u7ba1\u7406\u7cfb\u7edf\u3002\n\nClinics Patient Management System 2.0\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u53c2\u6570user_name\u4f1a\u5bfc\u81f4SQL\u6ce8\u5165\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\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.sourcecodester.com/php-clinics-patient-management-system-source-code",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2022-56699",
"openTime": "2022-08-11",
"products": {
"product": "Clinics Patient Management System Clinics Patient Management System 2.0"
},
"referenceLink": "https://github.com/CyberThoth/CVE/blob/63e283e7d7dad3783237f15cdae2bb649bc1e198/CVE/Clinic\u0027s%20Patient%20Management%20System/SQLi/POC.md",
"serverity": "\u9ad8",
"submitTime": "2022-07-15",
"title": "Clinics Patient 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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