EUVD-2024-48378

Comprehensive Technical Analysis of EUVD-2024-48378

1. Vulnerability Assessment and Severity Evaluation

The vulnerability EUVD-2024-48378, also known as CVE-2024-7456, is a SQL injection vulnerability affecting the /api/v1/external-users route in lunary-ai/lunary version v1.4.2. The order by clause of the SQL query uses sql.unsafe without prior sanitization, allowing for SQL injection attacks. The severity of this vulnerability is rated with a CVSS Base Score of 9.8, indicating a critical risk.

CVSS Base Score Vector:

• AV:N (Network Vector): The vulnerability is exploitable over the network.
• AC:L (Low Complexity): The attack requires low skill and resources.
• PR:N (No Privileges Required): No authentication is required to exploit the vulnerability.
• UI:N (No User Interaction): No user interaction is required for the attack to succeed.
• S:U (Unchanged Scope): The vulnerability does not change the security scope.
• C:H (High Confidentiality Impact): Successful exploitation can lead to unauthorized access to sensitive data.
• I:H (High Integrity Impact): Successful exploitation can lead to data modification.
• A:H (High Availability Impact): Successful exploitation can lead to data loss or corruption.

2. Potential Attack Vectors and Exploitation Methods

An attacker can exploit this vulnerability by crafting a malicious input to the orderByClause variable, which is not properly sanitized or validated. This allows the attacker to inject arbitrary SQL commands, potentially leading to:

• Data Exfiltration: Unauthorized access to sensitive data.
• Data Manipulation: Modification of existing data.
• Data Corruption: Deletion or corruption of data.
• Privilege Escalation: Gaining higher privileges within the database.

Example Exploitation: An attacker could send a request with a malicious orderByClause parameter:

/api/v1/external-users?orderByClause=1; DROP TABLE users; --

This would result in the execution of the DROP TABLE users; command, leading to data loss.

3. Affected Systems and Software Versions

The vulnerability affects:

• Product: lunary-ai/lunary
• Versions: All versions prior to v1.4.3

Users of lunary-ai/lunary version v1.4.2 and earlier are at risk and should upgrade to version v1.4.3 or later to mitigate this vulnerability.

4. Recommended Mitigation Strategies

Immediate Mitigation:

• Upgrade: Upgrade to lunary-ai/lunary version v1.4.3 or later.
• Patch: Apply the patch available in the GitHub commit 6a0bc201181e0f4a0cc375ccf4ef0d7ae65c8a8e.

Long-Term Mitigation:

• Input Validation: Implement server-side validation and sanitization for all user inputs.
• Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection.
• Web Application Firewall (WAF): Deploy a WAF to detect and block malicious SQL injection attempts.
• Regular Audits: Conduct regular security audits and code reviews to identify and fix vulnerabilities.

5. Impact on European Cybersecurity Landscape

The vulnerability poses a significant risk to organizations using the affected software, particularly those handling sensitive data. Successful exploitation could lead to data breaches, financial loss, and reputational damage. Given the critical nature of the vulnerability, it underscores the importance of robust cybersecurity practices and timely patch management.

6. Technical Details for Security Professionals

Vulnerability Details:

• Affected Route: /api/v1/external-users
• Vulnerable Code: The orderByClause variable is constructed without server-side validation or sanitization.
• Exploitation: The sql.unsafe method is used without proper sanitization, allowing for SQL injection.

Mitigation Code Example:

// Example of using parameterized queries to prevent SQL injection
const orderByClause = 'column_name'; // Ensure this is sanitized and validated
const query = 'SELECT * FROM users ORDER BY ?';
const values = [orderByClause];

// Use a parameterized query to safely execute the SQL command
db.query(query, values, (err, results) => {
  if (err) {
    console.error('Error executing query:', err);
  } else {
    console.log('Query results:', results);
  }
});

References:

• Huntr Bounty
• GitHub Commit

By addressing this vulnerability promptly and implementing robust security measures, organizations can significantly reduce the risk of SQL injection attacks and protect their data integrity.