Description
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Jürgen Müller Easy Quotes allows Blind SQL Injection. This issue affects Easy Quotes: from n/a through 1.2.2.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2025-5439
1. Vulnerability Assessment and Severity Evaluation
The vulnerability identified as EUVD-2025-5439 pertains to an SQL Injection flaw in the Jürgen Müller Easy Quotes plugin. This vulnerability allows for Blind SQL Injection, which is a type of SQL Injection where the attacker does not receive direct feedback from the database but can infer information through indirect means.
Severity Evaluation:
- Base Score: 9.3 (CVSS 3.1)
- Vector String: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:L
The CVSS score of 9.3 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): Changed (C)
- Confidentiality (C): High (H)
- Integrity (I): None (N)
- Availability (A): Low (L)
This score reflects the high potential for unauthorized access to sensitive information, with a low complexity of attack and no need for user interaction or special privileges.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attacks: The vulnerability can be exploited remotely over the network.
- Blind SQL Injection: Attackers can send specially crafted SQL queries to the application and infer the database structure and data by observing the application's behavior.
Exploitation Methods:
- Automated Tools: Attackers may use automated tools to send a series of SQL queries designed to extract information.
- Manual Exploitation: Skilled attackers can manually craft SQL queries to exploit the vulnerability, using techniques such as time-based or error-based blind SQL injection.
3. Affected Systems and Software Versions
Affected Software:
- Product: Easy Quotes
- Vendor: Jürgen Müller
- Versions: n/a through 1.2.2
All versions of the Easy Quotes plugin up to and including 1.2.2 are affected by this vulnerability.
4. Recommended Mitigation Strategies
Immediate Actions:
- Patching: Upgrade to a patched version of the Easy Quotes plugin as soon as it becomes available.
- Input Validation: Implement strict input validation and sanitization to prevent malicious SQL queries.
- Parameterized Queries: Use parameterized queries or prepared statements to ensure that SQL commands are executed safely.
Long-Term Strategies:
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
- Security Training: Provide training for developers on secure coding practices to prevent SQL injection vulnerabilities.
- Web Application Firewalls (WAF): Deploy WAFs to detect and block SQL injection attempts.
5. Impact on European Cybersecurity Landscape
The presence of such a critical vulnerability in a widely-used plugin highlights the importance of robust security practices in software development. The European cybersecurity landscape could be significantly impacted if similar vulnerabilities are not promptly addressed, leading to potential data breaches and loss of trust in digital services.
Regulatory Compliance:
- GDPR: Organizations must ensure that personal data is protected, and failure to address such vulnerabilities could result in GDPR violations and hefty fines.
- NIS Directive: Critical infrastructure providers must adhere to stringent security measures to protect against such vulnerabilities.
6. Technical Details for Security Professionals
Vulnerability Details:
- Type: Blind SQL Injection
- Location: The vulnerability is likely present in the SQL query construction logic within the Easy Quotes plugin.
- Exploitation: Attackers can inject malicious SQL code into input fields that are not properly sanitized, leading to unauthorized database queries.
Detection Methods:
- Static Analysis: Use static code analysis tools to identify unsanitized input fields and improper SQL query construction.
- Dynamic Analysis: Employ dynamic analysis tools to simulate SQL injection attacks and monitor the application's behavior.
Mitigation Techniques:
- Input Sanitization: Ensure all user inputs are sanitized and validated before being used in SQL queries.
- Least Privilege: Apply the principle of least privilege to database accounts, limiting the scope of potential damage from SQL injection attacks.
- Logging and Monitoring: Implement comprehensive logging and monitoring to detect and respond to suspicious activities promptly.
By addressing this vulnerability promptly and adopting robust security practices, organizations can significantly reduce the risk of SQL injection attacks and protect sensitive data.