CVE-2024-24018
CVE-2024-24018
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 vulnerability exists in Novel-Plus v4.3.0-RC1 and prior versions. An attacker can pass in crafted offset, limit, and sort parameters to perform SQL injection via /system/dataPerm/list
Comprehensive Technical Analysis of CVE-2024-24018
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-24018 CVSS Score: 9.8
The CVSS score of 9.8 indicates a critical vulnerability. This high score is due to the potential for complete system compromise, including unauthorized access to sensitive data, loss of data integrity, and potential denial of service. The vulnerability allows for SQL injection, which is a severe type of attack that can lead to significant data breaches and system manipulation.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- SQL Injection: An attacker can craft malicious input for the
offset,limit, andsortparameters in the/system/dataPerm/listendpoint. This input can manipulate the SQL queries executed by the application, allowing the attacker to extract, modify, or delete data. - Remote Code Execution: In some cases, SQL injection can be leveraged to execute arbitrary code on the server, further escalating the attack.
Exploitation Methods:
- Manual Exploitation: An attacker can manually craft SQL injection payloads and send them to the vulnerable endpoint.
- Automated Tools: Attackers may use automated tools to scan for and exploit SQL injection vulnerabilities.
3. Affected Systems and Software Versions
Affected Software:
- Novel-Plus v4.3.0-RC1 and prior versions.
Affected Systems:
- Any system running the affected versions of Novel-Plus, including web servers, application servers, and databases connected to these servers.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Upgrade to a patched version of Novel-Plus that addresses this vulnerability.
- Input Validation: Implement strict input validation and sanitization for all user inputs, especially for parameters like
offset,limit, andsort. - Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection.
- Web Application Firewall (WAF): Deploy a WAF to detect and block SQL injection attempts.
Long-Term Strategies:
- Regular Security Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
- Security Training: Provide training for developers on secure coding practices and common vulnerabilities.
- Monitoring and Logging: Implement robust monitoring and logging to detect and respond to suspicious activities.
5. Impact on Cybersecurity Landscape
The discovery of CVE-2024-24018 highlights the ongoing challenge of securing web applications against SQL injection attacks. This vulnerability underscores the importance of:
- Proactive Security Measures: Organizations must adopt proactive security measures, including regular updates, patches, and security audits.
- Developer Education: Ensuring that developers are well-versed in secure coding practices is crucial to preventing such vulnerabilities.
- Incident Response: Having a robust incident response plan in place can help mitigate the impact of successful exploitation.
6. Technical Details for Security Professionals
Vulnerability Details:
- Endpoint:
/system/dataPerm/list - Parameters:
offset,limit,sort - Exploitation: Crafted input for these parameters can manipulate the SQL queries executed by the application.
Example Exploit:
offset=1; DROP TABLE users; --
This payload could potentially drop the users table, leading to data loss.
Mitigation Code Example:
# Example using parameterized queries in Python with SQLite
import sqlite3
def get_data(offset, limit, sort):
conn = sqlite3.connect('database.db')
cursor = conn.cursor()
query = "SELECT * FROM dataPerm ORDER BY ? LIMIT ? OFFSET ?"
cursor.execute(query, (sort, limit, offset))
results = cursor.fetchall()
conn.close()
return results
Conclusion: CVE-2024-24018 is a critical SQL injection vulnerability that requires immediate attention. Organizations using Novel-Plus should prioritize patching and implementing robust security measures to protect against potential exploitation. Regular security audits and developer training are essential to prevent similar vulnerabilities in the future.