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CNVD-2025-30880

Vulnerability from cnvd - Published: 2025-12-17
VLAI
Title
Teacher Subject Allocation Management System /search.php文件SQL注入漏洞
Description
Teacher Subject Allocation Management System一个教师学科分配管理系统。 Teacher Subject Allocation Management System存在SQL注入漏洞,该漏洞源于对文件/admin/search.php中参数searchdata的错误操作导致SQL注入。目前没有详细的漏洞细节提供。
Severity
Formal description

目前厂商尚未发布升级程序修复该安全问题,详情见厂商官网: https://phpgurukul.com/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-4241
Impacted products
Name
Teacher Subject Allocation Management System Teacher Subject Allocation Management System 1.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-4241",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-4241"
    }
  },
  "description": "Teacher Subject Allocation Management System\u4e00\u4e2a\u6559\u5e08\u5b66\u79d1\u5206\u914d\u7ba1\u7406\u7cfb\u7edf\u3002\n\nTeacher Subject Allocation Management System\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u6587\u4ef6/admin/search.php\u4e2d\u53c2\u6570searchdata\u7684\u9519\u8bef\u64cd\u4f5c\u5bfc\u81f4SQL\u6ce8\u5165\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51\uff1a\r\nhttps://phpgurukul.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-30880",
  "openTime": "2025-12-17",
  "products": {
    "product": "Teacher Subject Allocation Management System Teacher Subject Allocation Management System 1.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-4241",
  "serverity": "\u9ad8",
  "submitTime": "2025-05-13",
  "title": "Teacher Subject Allocation Management System /search.php\u6587\u4ef6SQL\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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Related by attack behaviour

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