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
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
Show details on source website

{
  "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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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

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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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.


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