Description
GetLateOrMissingIssues in C4/Serials.pm in Koha before 24.11.02 allows SQL Injection in /serials/lateissues-export.pl via the supplierid or serialid parameter.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2025-7619
1. Vulnerability Assessment and Severity Evaluation
Vulnerability Description:
The vulnerability EUVD-2025-7619 pertains to an SQL Injection flaw in the GetLateOrMissingIssues function within the C4/Serials.pm module of Koha versions prior to 24.11.02. This flaw allows an attacker to inject malicious SQL code via the supplierid or serialid parameters in the /serials/lateissues-export.pl script.
Severity Evaluation:
- Base Score: 10.0 (Critical)
- Base Score Version: CVSS 3.1
- Base Score Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
The CVSS score of 10.0 indicates a critical vulnerability. The vector string breaks down as follows:
- AV:N (Attack Vector: Network) - The vulnerability is exploitable over the network.
- AC:L (Attack Complexity: Low) - The attack requires low complexity to exploit.
- PR:N (Privileges Required: None) - No privileges are required to exploit the vulnerability.
- UI:N (User Interaction: None) - No user interaction is required.
- S:C (Scope: Changed) - The vulnerability affects a different security scope.
- C:H (Confidentiality: High) - There is a high impact on confidentiality.
- I:H (Integrity: High) - There is a high impact on integrity.
- A:H (Availability: High) - There is a high impact on availability.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attack: An attacker can exploit this vulnerability remotely over the network.
- SQL Injection: The attacker can inject malicious SQL code through the
supplieridorserialidparameters.
Exploitation Methods:
- Direct SQL Injection: By crafting a specially designed URL or form input, an attacker can inject SQL commands that manipulate the database.
- Automated Tools: Attackers may use automated tools to scan for and exploit SQL injection vulnerabilities.
3. Affected Systems and Software Versions
Affected Software:
- Koha versions prior to 24.11.02
Affected Systems:
- Any system running the vulnerable versions of Koha, particularly those with the
/serials/lateissues-export.plscript exposed to the network.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Upgrade: Upgrade to Koha version 24.11.02 or later, which includes the patch for this vulnerability.
- Input Validation: Implement strict input validation and sanitization for the
supplieridandserialidparameters. - Prepared Statements: Use prepared statements and parameterized queries to prevent SQL injection.
Long-Term Mitigation:
- Regular Patching: Ensure that all software, including Koha, is regularly updated and patched.
- Security Audits: Conduct regular security audits and vulnerability assessments.
- Web Application Firewalls (WAF): Deploy WAFs to detect and block SQL injection attempts.
5. Impact on European Cybersecurity Landscape
Impact Assessment:
- Widespread Use: Koha is widely used in libraries and educational institutions across Europe. This vulnerability could lead to significant data breaches and service disruptions.
- Data Integrity: Compromised systems could result in the loss of integrity of library records and user data.
- Compliance: Organizations may face compliance issues with data protection regulations such as GDPR if sensitive data is compromised.
Regulatory and Compliance Considerations:
- GDPR: Ensure that any data breach is reported to the relevant authorities within the required timeframe.
- Incident Response: Have a robust incident response plan in place to mitigate the impact of any potential breaches.
6. Technical Details for Security Professionals
Vulnerability Details:
- Module:
C4/Serials.pm - Function:
GetLateOrMissingIssues - Parameters:
supplierid,serialid - Script:
/serials/lateissues-export.pl
Exploitation Example: An attacker could craft a URL like:
http://vulnerable-koha-instance/serials/lateissues-export.pl?supplierid=1'; DROP TABLE users;--
This would execute the SQL command DROP TABLE users;, potentially deleting the users table from the database.
Detection and Monitoring:
- Log Analysis: Monitor logs for unusual SQL queries or error messages indicating SQL injection attempts.
- Intrusion Detection Systems (IDS): Use IDS to detect and alert on suspicious network activity.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of SQL injection attacks and protect their data and services.