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CVE Vulnerability Database
Vulnerability Database/CVE-2025-11032

CVE-2025-11032: Kidaze Courseselectionsystem SQLi Flaw

CVE-2025-11032 is a SQL injection vulnerability in Kidaze Courseselectionsystem affecting the CPU parameter in PriProfile. Attackers can remotely exploit this flaw to manipulate databases. This article covers technical details.

Published: March 18, 2026

CVE-2025-11032 Overview

A SQL Injection vulnerability has been identified in kidaze CourseSelectionSystem, affecting versions up to commit 42cd892b40a18d50bd4ed1905fa89f939173a464. The vulnerability exists in the file /Profilers/PriProfile/COUNT3s6.php, where improper handling of the CPU parameter allows attackers to execute arbitrary SQL commands against the backend database. This flaw can be exploited remotely without authentication, potentially leading to unauthorized data access, modification, or deletion.

Critical Impact

Remote attackers can exploit this SQL Injection vulnerability to extract sensitive data, modify database contents, or potentially escalate their access within the application environment.

Affected Products

  • kidaze courseselectionsystem (up to commit 42cd892b40a18d50bd4ed1905fa89f939173a464)

Discovery Timeline

  • September 26, 2025 - CVE-2025-11032 published to NVD
  • October 8, 2025 - Last updated in NVD database

Technical Details for CVE-2025-11032

Vulnerability Analysis

This SQL Injection vulnerability stems from improper input validation in the CourseSelectionSystem application. The vulnerable endpoint /Profilers/PriProfile/COUNT3s6.php accepts user-controlled input through the CPU parameter without adequate sanitization or parameterized query usage. When this parameter is manipulated with malicious SQL syntax, the application directly incorporates the attacker-supplied input into database queries, allowing unauthorized SQL command execution.

The vulnerability is classified under CWE-89 (SQL Injection) and CWE-74 (Injection), both of which indicate improper neutralization of special elements used in queries. The product uses a rolling release model, meaning specific version numbers are not disclosed, making it challenging for administrators to determine if their deployment is affected.

Root Cause

The root cause of this vulnerability is the failure to properly sanitize or parameterize user-supplied input before incorporating it into SQL queries. The CPU parameter in the COUNT3s6.php file is directly concatenated into database queries without escaping special characters or using prepared statements, allowing attackers to break out of the intended query context and inject arbitrary SQL commands.

Attack Vector

The attack can be executed remotely over the network without requiring authentication or user interaction. An attacker can craft malicious HTTP requests targeting the vulnerable endpoint with specially crafted CPU parameter values containing SQL injection payloads. Upon successful exploitation, the attacker gains the ability to read, modify, or delete data from the database, potentially compromising the confidentiality, integrity, and availability of the application data.

The vulnerability has been publicly disclosed with exploit details available in the GitHub CVE Issue Discussion, increasing the risk of exploitation in the wild.

Detection Methods for CVE-2025-11032

Indicators of Compromise

  • Unusual database queries containing SQL metacharacters such as single quotes, double dashes, or UNION statements in web server logs
  • Unexpected access patterns to the /Profilers/PriProfile/COUNT3s6.php endpoint with suspicious CPU parameter values
  • Database error messages appearing in application logs that reveal SQL syntax errors
  • Abnormal data extraction or modifications in the database that do not correlate with legitimate user activity

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in HTTP requests targeting the vulnerable endpoint
  • Enable detailed logging for database queries and monitor for anomalous query patterns or excessive error rates
  • Deploy intrusion detection systems (IDS) with signatures specific to SQL injection attack patterns
  • Conduct regular security scans of the application to identify SQL injection vulnerabilities

Monitoring Recommendations

  • Monitor web server access logs for requests to /Profilers/PriProfile/COUNT3s6.php with suspicious parameter values
  • Set up alerts for database query failures or syntax errors that may indicate exploitation attempts
  • Track unusual data access patterns or bulk data extraction from the database
  • Implement real-time log analysis to correlate web requests with database activity

How to Mitigate CVE-2025-11032

Immediate Actions Required

  • Restrict network access to the vulnerable endpoint /Profilers/PriProfile/COUNT3s6.php until a patch is applied
  • Implement input validation and sanitization for the CPU parameter at the application or WAF level
  • Review database access logs for signs of prior exploitation
  • Consider taking the affected functionality offline if it is not business-critical

Patch Information

As of the last update, no official patch has been disclosed by the vendor. The CourseSelectionSystem uses a rolling release model for continuous delivery, and version information for affected or updated releases is not publicly available. Organizations should monitor the VulDB entry and the project repository for updates regarding security fixes.

Workarounds

  • Deploy a Web Application Firewall (WAF) with SQL injection detection rules to filter malicious requests before they reach the application
  • Implement network segmentation to limit access to the vulnerable application component
  • Apply principle of least privilege to database accounts used by the application to minimize potential impact
  • Manually modify the vulnerable code to use parameterized queries or prepared statements if source code access is available
bash
# Example WAF rule to block SQL injection attempts (ModSecurity format)
SecRule ARGS:CPU "@detectSQLi" "id:1001,phase:2,deny,status:403,msg:'SQL Injection Attempt Detected in CPU Parameter'"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechKidaze Courseselectionsystem

  • SeverityMEDIUM

  • CVSS Score6.9

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-74

  • CWE-89
  • Technical References
  • GitHub CVE Issue Discussion

  • VulDB CTIIID #325979

  • VulDB #325979

  • VulDB Submission #657950
  • Related CVEs
  • CVE-2025-14566: Kidaze CourseSelectionSystem SQLi Flaw

  • CVE-2025-10477: Kidaze CourseSelectionSystem SQLi Flaw

  • CVE-2025-11052: Kidaze Courseselectionsystem SQLi Flaw

  • CVE-2025-11033: Kidaze Courseselectionsystem SQLi Flaw
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