Attack Chain

1. An unauthenticated attacker identifies the login page of Collectric CMU 1.0.
2. The attacker crafts a malicious HTTP request targeting the login endpoint.
3. Within the request, the attacker injects SQL code into the ’lang’ parameter.
4. The server processes the request, executing the injected SQL code against the database.
5. Using boolean-based blind techniques, the attacker infers the results of the injected SQL query by observing response times.
6. The attacker iteratively refines the injected SQL code, attempting to extract sensitive information such as usernames, passwords, or other confidential data.
7. Successful exploitation leads to the unauthorized disclosure of sensitive information stored within the Collectric CMU 1.0 database.

Impact

Successful exploitation of CVE-2018-25379 can lead to the complete compromise of the Collectric CMU 1.0 system. Attackers could gain unauthorized access to sensitive user credentials and confidential data. The vulnerability could enable data breaches, identity theft, and unauthorized modifications to the system. The lack of authentication required to exploit this vulnerability increases the risk and potential impact.

Recommendation

• Apply appropriate input validation and sanitization to the ’lang’ parameter to prevent SQL injection attacks.
• Deploy the Sigma rule Detect CVE-2018-25379 Exploitation — SQL Injection via lang Parameter to identify attempts to exploit this vulnerability in web server logs.
• Implement parameterized queries or prepared statements to prevent SQL injection vulnerabilities.
• Regularly audit and assess web applications for SQL injection and other vulnerabilities.