CVE-2026-59515
Summary
by MITRE • 07/13/2026
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Sergey AIWU ai-copilot-content-generator allows Blind SQL Injection.This issue affects AIWU: from n/a through <= 1.5.4.
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Analysis
by VulDB Data Team • 07/13/2026
This vulnerability represents a critical SQL injection flaw classified under CWE-89 within the context of the AIWU ai-copilot-content-generator software. The improper neutralization of special elements in SQL commands creates an exploitable condition where attacker-controlled input can manipulate database queries through blind SQL injection techniques. The vulnerability exists in versions prior to and including 1.5.4, indicating a widespread exposure across multiple releases of the content generation tool.
The technical implementation of this flaw allows malicious actors to execute arbitrary SQL commands against the underlying database without proper input sanitization. Blind SQL injection occurs when the application does not return database errors directly to users but instead provides different responses based on whether the injected SQL statement evaluates to true or false. This methodology enables attackers to extract information through time-based or boolean-based inference techniques, making the exploitation particularly insidious as it operates without direct error feedback.
The operational impact of this vulnerability extends beyond simple data theft to encompass complete database compromise and potential system-wide infiltration. Attackers can leverage this weakness to enumerate database schemas, extract sensitive user credentials, modify content, or even escalate privileges within the affected environment. Given that this affects a content generation tool, the implications include potential manipulation of generated content, unauthorized access to stored information, and possible data corruption that could affect the integrity of the AI-generated materials.
Organizations utilizing this software should immediately implement comprehensive mitigation strategies including input validation, parameterized queries, and proper output encoding to prevent SQL injection attacks. The remediation process requires updating to version 1.5.5 or later where the vulnerability has been addressed through proper input sanitization mechanisms. Additionally, implementing web application firewalls and database activity monitoring can provide additional layers of protection against exploitation attempts.
This vulnerability aligns with several ATT&CK techniques including T1071.004 Application Layer Protocol and T1213 Data from Information Repositories, as it enables attackers to access and extract sensitive data through compromised database interfaces. The attack chain typically involves initial reconnaissance followed by injection payload delivery and subsequent data exfiltration, making it a significant concern for security operations centers monitoring for such activities.
Security practitioners should also consider implementing principle of least privilege for database connections and regularly audit database access logs to detect anomalous patterns that may indicate exploitation attempts. The vulnerability demonstrates the critical importance of proper input validation in preventing injection attacks and underscores the need for comprehensive security testing throughout the software development lifecycle to identify and remediate such weaknesses before deployment in production environments.