CVE-2025-49853

Comprehensive Technical Analysis of CVE-2025-49853

1. Vulnerability Assessment and Severity Evaluation

CVE ID: CVE-2025-49853 CVSS Score: 9.1

The vulnerability in ControlID iDSecure On-premises versions 4.7.48.0 and prior is classified as a SQL injection vulnerability. The CVSS score of 9.1 indicates a critical severity level. This high score is due to the potential for unauthorized access to sensitive information, the ability to manipulate database queries, and the potential for complete compromise of the database integrity.

2. Potential Attack Vectors and Exploitation Methods

SQL injection vulnerabilities are typically exploited by injecting malicious SQL code into input fields that are not properly sanitized. Potential attack vectors include:

• User Input Fields: Any input field where user data is directly used in SQL queries without proper validation or parameterization.
• URL Parameters: Parameters passed in the URL that are used in SQL queries.
• Form Data: Data submitted via forms that are directly used in SQL queries.

Exploitation methods may involve:

• Union-Based SQL Injection: Using the UNION SQL operator to combine the results of two SELECT statements into a single result.
• Error-Based SQL Injection: Inducing database errors to gather information about the database structure.
• Blind SQL Injection: Inferring database structure and data by sending payloads and observing the application's response.

3. Affected Systems and Software Versions

The vulnerability affects ControlID iDSecure On-premises versions 4.7.48.0 and prior. Organizations using these versions are at risk and should prioritize updating to a patched version as soon as possible.

4. Recommended Mitigation Strategies

To mitigate the risk associated with this vulnerability, the following strategies are recommended:

• Patch Management: Immediately update to the latest version of ControlID iDSecure On-premises that addresses this vulnerability.
• Input Validation: Ensure all user inputs are properly validated and sanitized before being used in SQL queries.
• Parameterized Queries: Use parameterized queries or prepared statements to prevent SQL injection attacks.
• Web Application Firewalls (WAF): Deploy WAFs to detect and block SQL injection attempts.
• Regular Audits: Conduct regular security audits and code reviews to identify and fix potential vulnerabilities.
• Least Privilege Principle: Ensure that database accounts used by the application have the minimum necessary privileges.

5. Impact on Cybersecurity Landscape

The discovery of this vulnerability underscores the ongoing challenge of securing applications against SQL injection attacks. It highlights the importance of secure coding practices, regular updates, and proactive security measures. Organizations must remain vigilant and adopt a multi-layered security approach to protect against such threats.

6. Technical Details for Security Professionals

Vulnerability Details:

• Affected Component: ControlID iDSecure On-premises
• Vulnerable Versions: 4.7.48.0 and prior
• Vulnerability Type: SQL Injection
• Exploitability: High, as it can be exploited remotely without authentication.

Detection and Response:

• Log Analysis: Monitor database logs for unusual SQL queries or errors that may indicate an injection attempt.
• Intrusion Detection Systems (IDS): Implement IDS to detect and alert on suspicious database activities.
• Incident Response Plan: Have a robust incident response plan in place to quickly address any detected SQL injection attempts.

Example Exploit:

SELECT * FROM users WHERE username = 'admin' --' AND password = 'password';

In this example, the attacker injects a comment (--) to bypass the password check.

Mitigation Code Example:

import sqlite3

# Using parameterized queries to prevent SQL injection
conn = sqlite3.connect('example.db')
cursor = conn.cursor()

username = 'admin'
password = 'password'

cursor.execute("SELECT * FROM users WHERE username = ? AND password = ?", (username, password))
results = cursor.fetchall()

By adhering to best practices and implementing robust security measures, organizations can significantly reduce the risk posed by SQL injection vulnerabilities like CVE-2025-49853.