CVE-2024-24013
CVE-2024-24013
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 crafted offset, limit, and sort parameters to perform SQL injection via /novel/pay/list
Comprehensive Technical Analysis of CVE-2024-24013
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-24013
Description: A SQL injection vulnerability exists in Novel-Plus v4.3.0-RC1 and prior versions. An attacker can pass crafted offset, limit, and sort parameters to perform SQL injection via /novel/pay/list.
CVSS Score: 9.8
Severity Evaluation: 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, data manipulation, and potential denial of service. The vulnerability allows attackers to execute arbitrary SQL commands, which can lead to severe security breaches.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- SQL Injection: The primary attack vector is SQL injection, where an attacker can manipulate the
offset,limit, andsortparameters to inject malicious SQL code. - Unauthenticated Access: If the endpoint
/novel/pay/listdoes not require authentication, attackers can exploit the vulnerability without needing valid credentials. - Automated Scripts: Attackers can use automated scripts to scan for vulnerable endpoints and exploit them en masse.
Exploitation Methods:
- Manual Exploitation: Crafting specific SQL injection payloads to extract data, modify database entries, or execute administrative commands.
- Automated Tools: Using tools like SQLMap to automate the process of identifying and exploiting SQL injection vulnerabilities.
- Phishing and Social Engineering: Tricking users into visiting malicious links that exploit the vulnerability.
3. Affected Systems and Software Versions
Affected Software:
- Novel-Plus v4.3.0-RC1 and all prior versions.
Affected Systems:
- Any system running the vulnerable versions of Novel-Plus, particularly those with the
/novel/pay/listendpoint exposed to the internet.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Patching: Upgrade to a patched version of Novel-Plus that addresses the SQL injection vulnerability.
- Input Validation: Implement strict input validation and sanitization for all user-supplied parameters, especially
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 Mitigation:
- Regular Security Audits: Conduct regular security audits and code reviews to identify and fix vulnerabilities.
- Security Training: Provide security training for developers to understand and mitigate common vulnerabilities like SQL injection.
- Monitoring and Logging: Implement robust monitoring and logging to detect and respond to suspicious activities.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Data Breaches: Organizations using vulnerable versions of Novel-Plus are at high risk of data breaches, including exposure of sensitive information.
- Reputation Damage: Successful exploitation can lead to significant reputational damage and loss of customer trust.
Long-Term Impact:
- Increased Awareness: This vulnerability highlights the importance of secure coding practices and the need for continuous security assessments.
- Regulatory Compliance: Organizations may face regulatory penalties and legal consequences if they fail to address the vulnerability promptly.
6. Technical Details for Security Professionals
Vulnerability Details:
- Endpoint:
/novel/pay/list - Parameters:
offset,limit,sort - Exploit: Crafted SQL injection payloads can be inserted into these parameters to manipulate SQL queries.
Example Exploit:
/novel/pay/list?offset=1;DROP TABLE users;--
Detection:
- Log Analysis: Look for unusual SQL queries or error messages in application logs.
- Intrusion Detection Systems (IDS): Use IDS to detect anomalous traffic patterns indicative of SQL injection attempts.
Remediation:
- Code Review: Review the codebase for any instances where user input is directly included in SQL queries.
- Database Permissions: Limit database permissions to the minimum necessary for application functionality.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of exploitation and protect their systems and data from potential attacks.