CVE-2018-25163 in BitZoom
Summary
by MITRE • 03/06/2026
BitZoom 1.0 contains an SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the rollno and username parameters in forgot.php and login.php. Attackers can submit crafted POST requests with SQL UNION statements to extract database schema information and table contents from the application database.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 03/06/2026
The vulnerability identified as CVE-2018-25163 resides within BitZoom version 1.0, a web application that suffers from a critical SQL injection flaw. This weakness manifests through the improper handling of user input in two key application endpoints: forgot.php and login.php. The vulnerability stems from the application's failure to adequately sanitize or validate parameters received through HTTP POST requests, specifically targeting the rollno and username fields. Attackers can exploit this weakness by crafting malicious payloads that leverage SQL UNION statements to manipulate the underlying database query structure.
The technical implementation of this vulnerability aligns with CWE-89, which classifies SQL injection as a code injection technique that exploits improper input validation. When attackers submit crafted POST requests containing malicious SQL code through the vulnerable parameters, the application processes these inputs without proper sanitization, allowing the injected code to execute within the database context. This flaw operates at the application layer and requires no authentication, making it particularly dangerous as it can be exploited by any remote attacker with access to the vulnerable web application. The vulnerability specifically affects the database interaction logic in the forgot.php and login.php files, where user inputs are directly incorporated into SQL query construction without appropriate escaping or parameterization.
The operational impact of this vulnerability extends far beyond simple data theft, as it provides attackers with complete database access capabilities. Successful exploitation enables attackers to extract sensitive information including database schema details, table structures, and potentially confidential user data stored within the application's database. The vulnerability's unauthenticated nature means that attackers can operate without requiring valid credentials, significantly increasing the attack surface and potential damage. Database administrators and security professionals should recognize that this flaw could lead to data breaches, unauthorized access to user accounts, and potential lateral movement within network environments where the application resides. The ability to execute arbitrary SQL queries through UNION-based attacks allows for extensive data enumeration and can facilitate more sophisticated exploitation techniques.
Mitigation strategies for CVE-2018-25163 should focus on implementing proper input validation and parameterized queries throughout the application codebase. The most effective remediation involves replacing direct string concatenation of user inputs with prepared statements or parameterized queries that separate SQL code from data. Organizations should also implement proper input sanitization routines that validate and filter all user-supplied data before processing. Additionally, the application should employ proper error handling that prevents database error messages from being exposed to end users, as these can provide valuable information to attackers. Security measures should include implementing web application firewalls that can detect and block SQL injection patterns, conducting regular security code reviews, and ensuring that all application components are updated to the latest secure versions. The vulnerability's classification under ATT&CK technique T1190 highlights the importance of network ingress protection and application security controls to prevent unauthorized database access and maintain data integrity.