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Vulnerability Database/CVE-2025-10813

CVE-2025-10813: Hostel Management System SQLi Vulnerability

CVE-2025-10813 is a SQL injection vulnerability in Hostel Management System 1.0 affecting the mod_reports module. Attackers can exploit this remotely to manipulate database queries. This article covers technical details, impact, and mitigation.

Published:

CVE-2025-10813 Overview

A SQL injection vulnerability has been identified in code-projects Hostel Management System version 1.0. The vulnerability exists in an unknown function of the file /justines/admin/mod_reports/index.php. By manipulating the Home argument, an attacker can inject malicious SQL queries into the application's database operations. This vulnerability is remotely exploitable, and exploit details have been publicly disclosed.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability to manipulate database queries, potentially leading to unauthorized data access, data modification, or extraction of sensitive information from the hostel management system's database.

Affected Products

  • Angeljudesuarez Hostel Management System 1.0

Discovery Timeline

  • 2025-09-22 - CVE-2025-10813 published to NVD
  • 2025-09-23 - Last updated in NVD database

Technical Details for CVE-2025-10813

Vulnerability Analysis

This SQL injection vulnerability (classified under CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) exists in the Hostel Management System's administrative reporting module. The vulnerable endpoint /justines/admin/mod_reports/index.php fails to properly sanitize user-supplied input through the Home parameter before incorporating it into SQL queries.

The vulnerability allows attackers to inject arbitrary SQL commands through the network without requiring authentication or user interaction. When exploited, attackers can potentially read, modify, or delete database contents, bypass authentication mechanisms, or enumerate database structure and contents.

Root Cause

The root cause of this vulnerability is insufficient input validation and lack of parameterized queries in the /justines/admin/mod_reports/index.php file. The Home parameter is directly concatenated into SQL statements without proper sanitization or the use of prepared statements, allowing attackers to break out of the intended query structure and inject malicious SQL code.

Attack Vector

The attack is network-based and can be executed remotely. An attacker crafts a malicious HTTP request to the vulnerable endpoint, injecting SQL syntax through the Home parameter. The attack requires no authentication and no user interaction, making it particularly dangerous for internet-facing deployments.

The vulnerability allows attackers to manipulate the SQL query logic by injecting special characters and SQL commands through the Home parameter. Typical exploitation techniques include using single quotes to terminate string literals, UNION-based injection to extract data from other tables, or boolean-based blind injection to enumerate database contents. Technical details and proof-of-concept information are available through the GitHub CVE Issue Discussion and VulDB #325171.

Detection Methods for CVE-2025-10813

Indicators of Compromise

  • Unusual SQL error messages appearing in web server logs or application responses
  • HTTP requests to /justines/admin/mod_reports/index.php containing SQL syntax characters in the Home parameter (e.g., single quotes, UNION, SELECT, OR 1=1)
  • Database logs showing unexpected queries or query patterns indicating injection attempts
  • Abnormal data access patterns or bulk data extraction from the application database

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect SQL injection patterns in requests to the vulnerable endpoint
  • Configure intrusion detection systems to alert on HTTP requests containing common SQL injection payloads targeting the Home parameter
  • Enable detailed logging on the web server and database to capture suspicious query patterns
  • Monitor for unauthorized access attempts to the administrative reporting module

Monitoring Recommendations

  • Review web server access logs for requests to /justines/admin/mod_reports/index.php with suspicious parameter values
  • Enable database query logging and audit for anomalous query patterns
  • Set up alerting for failed SQL queries or syntax errors that may indicate injection attempts
  • Monitor network traffic for unusual data exfiltration patterns from the application server

How to Mitigate CVE-2025-10813

Immediate Actions Required

  • Restrict network access to the /justines/admin/mod_reports/index.php endpoint to trusted IP addresses only
  • Deploy a Web Application Firewall (WAF) with SQL injection protection rules in front of the application
  • Consider disabling the vulnerable reporting module until a patch is available
  • Review database permissions and apply the principle of least privilege to the application's database user

Patch Information

No official vendor patch has been released at this time. System administrators should monitor Code Projects Resource Hub for security updates. Given the public disclosure of this vulnerability, implementing workarounds and compensating controls is critical until a patch becomes available.

Workarounds

  • Implement input validation on the Home parameter to allow only expected alphanumeric values
  • Use a Web Application Firewall to filter malicious SQL injection payloads before they reach the application
  • Restrict access to the administrative module using IP whitelisting or VPN requirements
  • Consider implementing prepared statements or parameterized queries at the code level if source modification is possible
bash
# Example WAF rule to block SQL injection attempts on the vulnerable endpoint
# Apache ModSecurity configuration
SecRule ARGS:Home "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    msg:'SQL Injection attempt blocked on Home parameter',\
    log,\
    auditlog"

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

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