CVE-2026-81677 in iSquad
Summary
by MITRE • 08/27/2026
The ‘/ws/apiprensa/getVideo’ endpoint is vulnerable to SQL injection due to improper validation of the GET parameter `id_ambito`. An attacker can inject SQL syntax that breaks the underlying structure of the MariaDB query, resulting in syntax errors and the exposure of database error messages via PDOException. This confirms that user input is being incorporated directly into SQL statements without proper sanitization or the use of prepared statements.
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Analysis
by VulDB Data Team • 08/27/2026
The vulnerability identified within the /ws/apiprensa/getVideo endpoint represents a critical security flaw rooted in improper validation and handling of user-supplied data, specifically targeting the GET parameter id_ambito. This issue is classified under CWE-89, which denotes Improper Neutralization of Special Elements used in an SQL Command, commonly known as SQL Injection. The root cause lies in the application's failure to sanitize or properly escape input before incorporating it into database queries. Instead of utilizing prepared statements with parameterized queries, which would separate code from data and prevent injection attacks, the system directly embeds the raw value of id_ambito into a MariaDB query string. This architectural oversight allows an attacker to manipulate the intended SQL logic by injecting malicious syntax that alters the structure of the original command.
From an operational perspective, this vulnerability enables unauthorized access to sensitive database contents or potential modification and deletion of data depending on the privileges associated with the database user account running the application. The immediate technical manifestation of this flaw is evident through the exposure of detailed MariaDB error messages via PDOException objects returned in the HTTP response. When a malicious payload breaks the SQL syntax, the underlying database engine throws an exception that includes specific diagnostic information about the query failure. This behavior indicates a lack of proper error handling and genericization in the application layer, where internal stack traces or database-specific errors are leaked to the client rather than being caught and replaced with safe, non-disclosive messages. Such verbose error reporting significantly aids attackers by confirming the presence of the vulnerability and providing insights into the database schema, table structures, and query logic, thereby facilitating further exploitation attempts such as Union-based SQL injection or blind boolean-based inference attacks.
The impact extends beyond mere data exfiltration to include potential denial of service if complex payloads are used to exhaust server resources during parsing. Furthermore, in environments where the database user has elevated privileges, this vulnerability could allow for remote code execution through specific MariaDB features such as LOAD_FILE or INTO OUTFILE commands, although this depends heavily on configuration settings like secure_file_priv. The attack vector is classified under MITRE ATT&CK technique T1059.004, which covers SQL Injection within the Command and Scripting Interpreter category, specifically targeting database interactions to achieve unauthorized access or privilege escalation.
To mitigate this vulnerability, immediate remediation steps must focus on refactoring the data access layer to exclusively use prepared statements with bound parameters for all dynamic queries involving user input. This ensures that the id_ambito parameter is treated strictly as data rather than executable code by the SQL parser. Additionally, comprehensive error handling mechanisms should be implemented to catch PDOException instances and log them securely server-side while returning generic success or failure messages to the client without exposing internal details. Input validation should also be enforced using strict allow-listing for expected integer formats if id_ambito is intended to represent a numeric identifier, rejecting any input that does not match this pattern before it reaches the database layer. Regular security testing and code reviews are recommended to identify similar patterns across other endpoints in the application ecosystem.