CVE-2024-54921
CVE-2024-54921
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
A SQL Injection was found in /student_signup.php in kashipara E-learning Management System v1.0, which allows remote attackers to execute arbitrary SQL commands to get unauthorized database access via the username, firstname, lastname, and class_id parameters.
Comprehensive Technical Analysis of CVE-2024-54921
1. Vulnerability Assessment and Severity Evaluation
Vulnerability Description:
CVE-2024-54921 pertains to a SQL Injection vulnerability in the /student_signup.php script of the kashipara E-learning Management System v1.0. This vulnerability allows remote attackers to execute arbitrary SQL commands via the username, firstname, lastname, and class_id parameters, potentially leading to unauthorized database access.
Severity Evaluation: The CVSS (Common Vulnerability Scoring System) score for this vulnerability is 9.8, which is classified as "Critical." This high score indicates a significant risk to the confidentiality, integrity, and availability of the affected system. The critical nature of the vulnerability is due to the potential for complete database compromise, including data theft, modification, and deletion.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Remote Exploitation: Attackers can exploit this vulnerability remotely by crafting malicious input for the
username,firstname,lastname, andclass_idparameters in the/student_signup.phpscript. - Automated Scanning: Automated tools and bots can be used to scan for and exploit this vulnerability, increasing the risk of widespread attacks.
Exploitation Methods:
- SQL Injection: Attackers can inject SQL commands into the input fields to manipulate the database. Common techniques include:
- Union-based SQL Injection: Combining the results of two SELECT statements to extract data.
- Error-based SQL Injection: Inducing database errors to gather information about the database structure.
- Blind SQL Injection: Using true/false responses to infer information about the database.
3. Affected Systems and Software Versions
Affected Systems:
- kashipara E-learning Management System v1.0
Software Versions:
- Specifically, the vulnerability is present in version 1.0 of the kashipara E-learning Management System.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Apply the latest security patches provided by the vendor to mitigate the vulnerability.
- Input Validation: Implement strict input validation and sanitization for all user inputs, especially for the
username,firstname,lastname, andclass_idparameters. - Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection attacks.
- Web Application Firewall (WAF): Deploy a WAF to detect and block malicious SQL injection attempts.
Long-term Strategies:
- Regular Security Audits: Conduct regular security audits and code reviews to identify and fix vulnerabilities.
- Security Training: Provide security training for developers to ensure they are aware of common vulnerabilities and best practices for secure coding.
- Monitoring and Logging: Implement robust monitoring and logging mechanisms to detect and respond to suspicious activities.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Data Breach: Unauthorized access to sensitive data, including student information, can lead to data breaches and potential identity theft.
- System Compromise: Attackers can gain full control over the database, leading to further system compromises and potential lateral movement within the network.
Long-term Impact:
- Reputation Damage: Organizations using the affected software may suffer reputational damage due to data breaches.
- Regulatory Compliance: Failure to address this vulnerability can result in non-compliance with data protection regulations, leading to legal consequences and fines.
6. Technical Details for Security Professionals
Vulnerability Details:
- Vulnerable Component:
/student_signup.php - Affected Parameters:
username,firstname,lastname,class_id - Exploit Type: SQL Injection
Detection Methods:
- Static Analysis: Review the source code for improper handling of user inputs.
- Dynamic Analysis: Use automated tools to test for SQL injection vulnerabilities.
- Manual Testing: Perform manual penetration testing to identify and exploit the vulnerability.
Mitigation Techniques:
- Code Review: Ensure all SQL queries use parameterized statements.
- Database Permissions: Limit database permissions to the minimum required for application functionality.
- Error Handling: Implement proper error handling to avoid exposing database errors to attackers.
References:
By addressing this vulnerability promptly and effectively, organizations can significantly reduce the risk of data breaches and system compromises, ensuring the security and integrity of their e-learning management systems.