CVE-2024-57401 Overview
CVE-2024-57401 is a critical SQL Injection vulnerability affecting Uniclare Student portal version 2 and earlier. The vulnerability exists within the Forgot Password function and allows remote attackers to execute arbitrary code against the affected system without requiring authentication.
SQL Injection vulnerabilities in authentication-related functions like password reset mechanisms are particularly dangerous as they often handle sensitive user data and may provide attackers with direct access to database credentials, personal information, and potential administrative access.
Critical Impact
Unauthenticated remote attackers can exploit the Forgot Password function to execute arbitrary SQL commands, potentially compromising the entire student portal database containing sensitive educational records and personal information.
Affected Products
- Uniclare Student portal v.2
- Uniclare Student portal versions prior to v.2
Discovery Timeline
- 2025-02-20 - CVE CVE-2024-57401 published to NVD
- 2025-02-21 - Last updated in NVD database
Technical Details for CVE-2024-57401
Vulnerability Analysis
This SQL Injection vulnerability (classified under CWE-94: Improper Control of Generation of Code) exists in the Forgot Password functionality of the Uniclare Student portal. The vulnerability allows unauthenticated remote attackers to inject malicious SQL statements through user-controlled input fields in the password reset mechanism.
The network-accessible nature of this vulnerability combined with no authentication requirements makes it particularly concerning for educational institutions running affected versions. An attacker can exploit this flaw without any privileges or user interaction, achieving complete compromise of data confidentiality, integrity, and availability.
Root Cause
The root cause of CVE-2024-57401 is insufficient input validation and improper sanitization of user-supplied data within the Forgot Password function. When users submit data to the password recovery mechanism, the application fails to properly sanitize or parameterize the input before incorporating it into SQL queries. This allows attackers to inject arbitrary SQL commands that are executed by the database with the application's privileges.
Attack Vector
The attack vector is network-based, targeting the web-accessible Forgot Password functionality. An attacker can craft malicious HTTP requests containing SQL injection payloads within the password reset form fields.
The exploitation flow typically involves:
- Identifying the vulnerable Forgot Password endpoint
- Crafting SQL injection payloads to probe database structure
- Extracting sensitive data including user credentials and personal information
- Potentially escalating to arbitrary code execution on the underlying server
Technical details and proof-of-concept information are available in the GitHub PoC Repository. The University Solutions Portal hosts the affected application.
Detection Methods for CVE-2024-57401
Indicators of Compromise
- Unusual or malformed requests to the Forgot Password endpoint containing SQL syntax characters (single quotes, semicolons, UNION statements, comment sequences)
- Database error messages in application logs indicating SQL syntax errors or unexpected query behavior
- Abnormal database query patterns from the web application, including time-based delays or excessive data retrieval
- Evidence of data exfiltration from student portal database tables
Detection Strategies
- Deploy Web Application Firewall (WAF) rules to detect and block common SQL injection patterns in HTTP requests
- Enable detailed logging on the web application to capture all requests to authentication and password reset endpoints
- Implement database activity monitoring to detect anomalous queries originating from the student portal application
- Use SentinelOne Singularity Platform to monitor for post-exploitation activities and lateral movement attempts
Monitoring Recommendations
- Monitor web server access logs for repeated requests to the Forgot Password endpoint with varying payloads
- Configure alerting on database audit logs for queries containing suspicious SQL keywords or unusual query structures
- Track failed password reset attempts and correlate with potential injection attempts
- Implement network monitoring for unusual outbound data transfers from the database server
How to Mitigate CVE-2024-57401
Immediate Actions Required
- Review and audit all user input handling in the Forgot Password function for proper parameterization
- Implement prepared statements or parameterized queries for all database operations
- Deploy web application firewall rules to filter SQL injection attempts as a temporary measure
- Consider temporarily disabling the Forgot Password function until a proper fix is implemented
- Conduct a security audit of the student portal database to identify any signs of compromise
Patch Information
No vendor patch information is currently available in the CVE data. Organizations using Uniclare Student portal v.2 or earlier should contact the vendor directly for remediation guidance. Monitor the University Solutions Portal for security updates and patches.
Workarounds
- Implement strict input validation using allowlists for the Forgot Password form fields
- Deploy a web application firewall (WAF) with SQL injection detection rules in blocking mode
- Restrict direct database access from the web application using stored procedures with minimal privileges
- Consider implementing rate limiting on the Forgot Password endpoint to slow down automated exploitation attempts
- Use database connection accounts with least-privilege access to limit the impact of successful exploitation
For technical implementation, ensure all database queries use parameterized statements. Example mitigation approach for PHP applications:
# Use prepared statements instead of string concatenation
# Replace: $query = "SELECT * FROM users WHERE email = '" . $email . "'";
# With parameterized queries using PDO or mysqli prepared statements
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


