CVE-2024-25514
CVE-2024-25514
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
- Low
Description
RuvarOA v6.01 and v12.01 were discovered to contain a SQL injection vulnerability via the template_id parameter at /SysManage/wf_template_child_field_list.aspx.
Comprehensive Technical Analysis of CVE-2024-25514
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-25514 CVSS Score: 9.4
The vulnerability in question is a SQL injection flaw in RuvarOA versions 6.01 and 12.01. The high CVSS score of 9.4 indicates a critical severity level. This score is likely due to the potential for unauthorized access to sensitive data, the ability to execute arbitrary SQL commands, and the ease of exploitation.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- SQL Injection: The primary attack vector is SQL injection via the
template_idparameter in the/SysManage/wf_template_child_field_list.aspxendpoint. - Web Application Exploitation: Attackers can manipulate the
template_idparameter to inject malicious SQL queries, potentially leading to data exfiltration, data corruption, or unauthorized administrative access.
Exploitation Methods:
- Manual Exploitation: Attackers can manually craft SQL injection payloads to exploit the vulnerability.
- Automated Tools: Use of automated SQL injection tools like SQLMap to identify and exploit the vulnerability.
- Phishing and Social Engineering: Tricking users into visiting a malicious link that exploits the vulnerability.
3. Affected Systems and Software Versions
Affected Software:
- RuvarOA v6.01
- RuvarOA v12.01
Affected Systems:
- Any system running the affected versions of RuvarOA, particularly those with the
/SysManage/wf_template_child_field_list.aspxendpoint exposed to the internet or internal networks.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Apply the latest patches or updates provided by the vendor to mitigate the vulnerability.
- Input Validation: Implement strict input validation and sanitization for the
template_idparameter. - Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection.
Long-Term Strategies:
- Web Application Firewall (WAF): Deploy a WAF to detect and block SQL injection attempts.
- Regular Audits: Conduct regular security audits and code reviews to identify and fix similar vulnerabilities.
- User Education: Educate users about the risks of phishing and social engineering attacks.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Data Breaches: Organizations using the affected versions of RuvarOA are at high risk of data breaches, including the exposure of sensitive information.
- Operational Disruption: Potential for operational disruptions due to data corruption or unauthorized access.
Long-Term Impact:
- Reputation Damage: Organizations may suffer reputational damage if a breach occurs.
- Compliance Issues: Potential non-compliance with data protection regulations, leading to legal and financial penalties.
6. Technical Details for Security Professionals
Vulnerability Details:
- Endpoint:
/SysManage/wf_template_child_field_list.aspx - Parameter:
template_id - Exploit Type: SQL Injection
Detection Methods:
- Log Analysis: Monitor web server logs for unusual SQL query patterns or error messages indicating SQL injection attempts.
- Intrusion Detection Systems (IDS): Use IDS to detect and alert on suspicious activities related to SQL injection.
Mitigation Steps:
- Patch Management: Ensure that all instances of RuvarOA are updated to the latest version that addresses this vulnerability.
- Code Review: Conduct a thorough code review to identify and fix other potential SQL injection points.
- Database Security: Implement least privilege access controls for database users and monitor database activity for anomalies.
References:
By addressing this vulnerability promptly and comprehensively, organizations can significantly reduce the risk of SQL injection attacks and protect their critical data and systems.