EUVD-2024-52702

Comprehensive Technical Analysis of EUVD-2024-52702

1. Vulnerability Assessment and Severity Evaluation

The vulnerability described in EUVD-2024-52702 is a SQL Injection flaw in the /search_class.php script of the kashipara E-learning Management System v1.0. This vulnerability allows remote attackers to execute arbitrary SQL commands via the school_year parameter, potentially leading to unauthorized database access.

Severity Evaluation:

• Base Score: 9.8 (Critical)
• Base Score Version: CVSS 3.1
• Base Score Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

The CVSS score of 9.8 indicates a critical vulnerability. The vector string breakdown is as follows:

• Attack Vector (AV): Network (N)
• Attack Complexity (AC): Low (L)
• Privileges Required (PR): None (N)
• User Interaction (UI): None (N)
• Scope (S): Unchanged (U)
• Confidentiality (C): High (H)
• Integrity (I): High (H)
• Availability (A): High (H)

This high score reflects the significant risk posed by this vulnerability, as it can be exploited remotely without any special privileges or user interaction, leading to severe impacts on confidentiality, integrity, and availability.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• Remote Exploitation: Attackers can exploit this vulnerability over the network, making it accessible to a wide range of potential attackers.
• SQL Injection: The primary attack vector is SQL Injection, where malicious SQL statements are inserted into the school_year parameter to manipulate the database.

Exploitation Methods:

• Direct SQL Injection: Attackers can craft SQL queries to extract sensitive data, modify database entries, or delete data.
• Union-Based SQL Injection: Attackers can use UNION SQL queries to combine the results of two SELECT statements, potentially exposing additional data.
• Error-Based SQL Injection: Attackers can induce errors to gather information about the database structure.
• Blind SQL Injection: Attackers can use time-based or boolean-based techniques to extract data without direct feedback from the database.

3. Affected Systems and Software Versions

Affected Systems:

• kashipara E-learning Management System v1.0

Software Versions:

• The vulnerability specifically affects version 1.0 of the kashipara E-learning Management System.

4. Recommended Mitigation Strategies

Immediate Mitigation:

• Patching: Apply the latest security patches provided by the vendor to fix the SQL Injection vulnerability.
• Input Validation: Implement strict input validation and sanitization for the school_year parameter to prevent malicious SQL commands.
• Parameterized Queries: Use parameterized queries or prepared statements to ensure that SQL commands are executed safely.
• Web Application Firewall (WAF): Deploy a WAF to detect and block SQL Injection attempts.

Long-Term Mitigation:

• Regular Security Audits: Conduct regular security audits and code reviews to identify and fix similar vulnerabilities.
• Security Training: Provide security training for developers to understand and mitigate SQL Injection risks.
• Database Monitoring: Implement database monitoring to detect and respond to suspicious activities.

5. Impact on European Cybersecurity Landscape

The presence of such a critical vulnerability in an e-learning management system underscores the importance of robust cybersecurity measures in educational institutions. Given the widespread use of e-learning platforms, this vulnerability could have significant implications for data privacy and security, particularly in the context of GDPR compliance. Educational institutions and organizations using the kashipara E-learning Management System should prioritize addressing this vulnerability to protect sensitive student and institutional data.

6. Technical Details for Security Professionals

Vulnerability Details:

• Vulnerable Component: /search_class.php
• Parameter: school_year
• Exploit Method: Inserting malicious SQL commands into the school_year parameter.

Example Exploit:

school_year=1' OR '1'='1

This example demonstrates a simple SQL Injection payload that could be used to bypass authentication or extract data.

Detection Methods:

• Log Analysis: Monitor database logs for unusual SQL queries or error messages.
• Intrusion Detection Systems (IDS): Use IDS to detect anomalous network traffic indicative of SQL Injection attempts.
• Code Review: Conduct a thorough code review of the /search_class.php script to identify and fix all instances of unsanitized input.

References:

• GitHub Writeup

Aliases:

• CVE-2024-54926

Assigner:

• MITRE

EPSS:

• Not Available

ENISA ID Product and Vendor:

• Not Available

By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of data breaches and ensure the integrity and confidentiality of their e-learning platforms.