CNVD-2026-35048

Vulnerability from cnvd - Published: 2026-08-31
VLAI
Title
Student Attendance Management System SQL注入漏洞(CNVD-2026-35048)
Description
Student Attendance Management System是CodeAstro公司的学生考勤管理系统。 Student Attendance Management System存在SQL注入漏洞,该漏洞源于createClass.php文件中的参数ID未能正确验证用户输入,攻击者可利用该漏洞通过构造恶意SQL语句远程注入,导致数据库信息泄露或数据篡改。
Severity
中
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://codeastro.com/

Reference
https://vuldb.com/vuln/369181
Impacted products
Name
Student Attendance Management System Student Attendance Management System 1.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2026-11584",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-11584"
    }
  },
  "description": "Student Attendance Management System\u662fCodeAstro\u516c\u53f8\u7684\u5b66\u751f\u8003\u52e4\u7ba1\u7406\u7cfb\u7edf\u3002\n\nStudent Attendance Management System\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8ecreateClass.php\u6587\u4ef6\u4e2d\u7684\u53c2\u6570ID\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u7528\u6237\u8f93\u5165\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u6784\u9020\u6076\u610fSQL\u8bed\u53e5\u8fdc\u7a0b\u6ce8\u5165\uff0c\u5bfc\u81f4\u6570\u636e\u5e93\u4fe1\u606f\u6cc4\u9732\u6216\u6570\u636e\u7be1\u6539\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://codeastro.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-35048",
  "openTime": "2026-08-31",
  "products": {
    "product": "Student Attendance Management System Student Attendance Management System 1.0"
  },
  "referenceLink": "https://vuldb.com/vuln/369181",
  "serverity": "\u4e2d",
  "submitTime": "2026-06-09",
  "title": "Student Attendance Management System SQL\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2026-35048\uff09"
}



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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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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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