CVE-2025-62319 in Unica
Summary
by MITRE • 03/16/2026
Boolean-Based SQL Injection is a type of blind SQL injection where an attacker manipulates SQL queries by injecting Boolean conditions (TRUE or FALSE) into application input fields. Instead of returning database errors or visible data, the application responds differently depending on whether the injected condition evaluates to true or false. This allows an attacker to inject arbitrary SQL into backend configuration queries executed within the application.
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Analysis
by VulDB Data Team • 03/21/2026
Boolean-based SQL injection represents a sophisticated class of vulnerability that exploits the fundamental trust applications place in user input while operating within the boundaries of legitimate database query execution. This vulnerability type falls under the common weakness enumeration CWE-89 which specifically addresses SQL injection flaws, and aligns with the attack technique described in the ATT&CK framework under T1213 Database peristence and T1566 Credential Access through Injection techniques. The vulnerability manifests when applications fail to properly sanitize or escape user-provided input before incorporating it into SQL queries, creating opportunities for malicious actors to manipulate query logic through boolean conditions.
The technical exploitation of this vulnerability occurs when an application processes user input without adequate validation or parameterization, allowing an attacker to inject boolean expressions that alter the intended flow of database queries. Attackers typically begin by identifying input fields that are processed through SQL queries, then systematically test various boolean conditions to infer database structure and content. When the injected condition evaluates to true, the application may return different responses, display different data, or behave in ways that confirm the condition's validity. This differential response enables attackers to perform automated enumeration of database schema, extract sensitive information, or manipulate application behavior through carefully crafted input sequences that leverage the boolean evaluation mechanism.
The operational impact of Boolean-based SQL injection extends beyond simple data theft to encompass complete system compromise and business disruption. Organizations face potential exposure of sensitive customer data, financial records, and proprietary information when attackers successfully exploit these vulnerabilities. The stealthy nature of boolean-based injection makes detection particularly challenging as malicious activity may not generate obvious error messages or database exceptions that security monitoring systems typically look for. This vulnerability type can lead to unauthorized access to administrative functions, data manipulation, and even complete database compromise. The attack surface is broad as any application component that processes user input and executes database queries without proper sanitization creates potential entry points.
Mitigation strategies for Boolean-based SQL injection require comprehensive application security measures that address both immediate remediation and long-term architectural improvements. The primary defense mechanism involves implementing proper input validation and parameterized queries or prepared statements that separate SQL code from user data, effectively preventing injection of malicious SQL fragments. Organizations should deploy web application firewalls and security monitoring solutions that can detect anomalous query patterns and injection attempts. Regular security testing including automated scanning and manual penetration testing helps identify vulnerable components before they can be exploited. Additionally, implementing principle of least privilege for database accounts, regular security training for development teams, and maintaining up-to-date security patches for application frameworks significantly reduces the risk of exploitation. The remediation process should include thorough code reviews focusing on database query construction, implementation of proper error handling that does not expose database information, and establishment of secure coding practices that align with industry standards such as OWASP Top Ten and NIST guidelines.