CVE-2018-25379 in Collectric CMU
Summary
by MITRE • 05/26/2026
Collectric CMU 1.0 contains a boolean-based blind SQL injection vulnerability in the lang parameter that allows unauthenticated attackers to manipulate database queries during authentication. Attackers can inject SQL code through the lang parameter in login requests to extract sensitive information from the database using time-based blind techniques.
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Analysis
by VulDB Data Team • 05/26/2026
The Collectric CMU 1.0 system presents a critical boolean-based blind sql injection vulnerability within its authentication mechanism that fundamentally compromises the security posture of the entire platform. This vulnerability exists in the lang parameter handling during login requests, creating an attack surface that allows unauthenticated adversaries to manipulate underlying database queries without requiring any prior credentials or privileged access. The flaw specifically manifests when the system processes language selection parameters during the authentication flow, where user input is directly incorporated into sql query construction without proper sanitization or parameterization. This vulnerability classification aligns with cwe-89 sql injection and cwe-94 code injection categories, representing a fundamental failure in input validation and query construction practices that violates core security principles.
The operational impact of this vulnerability extends beyond simple data theft, as attackers can leverage time-based blind sql injection techniques to systematically extract sensitive information from the database through carefully crafted payloads. The blind nature of this attack means that the system does not immediately reveal database contents through error messages or direct output, but instead requires attackers to infer information through timing variations in response times. This approach allows adversaries to extract database schema information, user credentials, personal data, and other sensitive information through iterative query execution where each successful extraction attempt results in measurable delays. The vulnerability affects the authentication process specifically, meaning that any user attempting to log in through the affected system could potentially be exploited, making this a widespread concern across all user sessions and potentially enabling privilege escalation attacks. The attack vector operates entirely through the login endpoint, making it particularly dangerous as it targets the most frequently accessed system component.
Security professionals should recognize this vulnerability as a significant risk that aligns with multiple attack techniques documented in the mitre att&ck framework, particularly under initial access and credential access domains. The vulnerability enables attackers to perform reconnaissance activities against the database structure and content without triggering immediate detection mechanisms that might be present in more direct injection scenarios. The lack of authentication requirements for exploitation means that this vulnerability can be leveraged by anyone with access to the system's login interface, making it extremely dangerous in environments where the system is publicly accessible. Organizations should implement immediate mitigations including input validation, parameterized queries, and proper error handling to prevent sql injection attacks, while also considering application firewalls and web application firewalls to detect and block malicious sql injection attempts. The vulnerability demonstrates a critical failure in secure coding practices and represents a common issue in legacy systems where proper input sanitization and query construction mechanisms have not been adequately implemented or maintained.