CVE-2026-81676 in iSquad
Summary
by MITRE • 08/27/2026
A vulnerability in the endpoint ‘/ws/apitribuna/ultimosVideos’ where the `limit_videos` parameter is directly concatenated into a MariaDB SQL query without proper sanitization or parameterization. By injecting SQL syntax into this parameter, a remote attacker can cause SQL syntax errors and potentially manipulate backend queries. The issue results in an error-based SQL injection and exposes internal database error messages and stack traces, revealing implementation details of the backend system.
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Analysis
by VulDB Data Team • 08/27/2026
The vulnerability identified within the endpoint /ws/apitribuna/ultimosVideos represents a critical security flaw rooted in improper input validation and query construction practices. Specifically, the application accepts user-supplied data through the limit_videos parameter and directly concatenates this value into an SQL statement intended for execution against a MariaDB database backend. This architectural decision bypasses standard defensive mechanisms such as prepared statements or stored procedures that would otherwise isolate code from data. By failing to sanitize or validate the input before inclusion in the query string, the application creates a vector for error-based SQL injection attacks. In this specific variant of SQLi, an attacker does not necessarily need to extract sensitive data directly through standard union-based techniques but can instead manipulate the database engine's behavior by introducing syntactically invalid constructs that trigger detailed error responses from the MariaDB server.
The operational impact of this vulnerability extends beyond simple query manipulation due to the nature of the application's response handling. When a malicious payload is injected into the limit_videos parameter, it disrupts the expected SQL syntax, causing the database engine to throw an exception. Crucially, the backend system appears to be configured in a manner that exposes these internal error messages and stack traces directly back to the client or attacker. This leakage of technical details provides valuable intelligence regarding the underlying technology stack, including specific versions of MariaDB, application framework structures, and potentially file paths on the server. Such information significantly lowers the barrier for further exploitation by allowing attackers to tailor subsequent attacks with precise knowledge of the environment's configuration and potential weaknesses.
From a classification perspective, this vulnerability aligns closely with CWE-89 Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL Injection. The specific mechanism described falls under error-based injection techniques where the attacker leverages database errors to infer information about the schema or validate their payloads. In terms of offensive security frameworks, this activity maps to ATT&CK technique T1059 Command and Scripting Interpreter if further exploitation leads to code execution, but more immediately it relates to reconnaissance activities such as gathering victim identity (T1592) and vulnerability identification through error analysis. The exposure of stack traces also touches upon CWE-209 Generation of Error Message Containing Sensitive Information, which compounds the severity by facilitating lateral movement or privilege escalation attempts based on revealed internal architecture details.
Mitigation strategies must focus on implementing robust input validation and secure database interaction patterns immediately. The primary remediation involves replacing direct string concatenation with parameterized queries or prepared statements provided by the MariaDB driver interface used in the application code. This ensures that user-supplied data is treated strictly as literal values rather than executable SQL commands, effectively neutralizing injection attempts regardless of their content. Additionally, input validation should be enforced to ensure that the limit_videos parameter only accepts expected integer types within a reasonable range, rejecting any non-numeric or suspiciously formatted inputs at the application layer before they reach the database engine.
Beyond code-level fixes, operational security measures must address the information leakage aspect. The backend system's error handling configuration needs to be reviewed and adjusted to suppress detailed stack traces and internal SQL errors from being returned in HTTP responses during production operations. Instead of exposing raw database exceptions, the application should return generic, user-friendly error messages while logging detailed diagnostic information securely on the server side for administrative review only. This dual approach of securing the query construction mechanism and hardening the error response behavior will effectively mitigate both the immediate injection risk and the secondary intelligence-gathering threat posed by verbose error reporting.