CVE-2026-111718 in AipexBase
Summary
by MITRE • 10/16/2026
AipexBase through commit 690adb9 contains a sql injection vulnerability that allows attackers to inject SQL through the order_by and group_by fields of the /api/data/invoke endpoint. Attackers can supply subqueries or EXTRACTVALUE and UPDATEXML functions that bypass the SqlGuard denylist and row-level security, reading other users' rows and tables.
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Analysis
by VulDB Data Team • 10/16/2026
The vulnerability identified in AipexBase prior to commit 690adb9 represents a critical SQL injection flaw located within the /api/data/invoke endpoint. This specific interface point processes user-supplied input for order_by and group_by parameters, which are intended to dictate how query results are sorted or aggregated. The core technical failure lies in the insufficient sanitization of these inputs before they are concatenated into dynamic SQL statements executed by the underlying database engine. While AipexBase employs a security mechanism known as SqlGuard designed to filter out malicious patterns and enforce row-level security policies, this implementation contains significant bypass vectors that allow attackers to circumvent both the denylist filters and access controls.
The operational impact of this vulnerability is severe due to its ability to facilitate unauthorized data exfiltration across user boundaries. Attackers can exploit the lack of proper input validation by injecting complex SQL constructs such as subqueries or specific MySQL error-based functions like EXTRACTVALUE and UPDATEXML. These techniques are particularly dangerous because they do not rely on traditional UNION SELECT payloads that might be more easily detected by standard intrusion detection systems. Instead, these methods leverage database parsing errors to extract data indirectly through error messages returned by the server. This capability effectively neutralizes row-level security measures, allowing an authenticated attacker with access to one set of records to read sensitive information belonging to other users or entirely different tables within the same schema.
From a classification perspective, this vulnerability aligns closely with CWE-89 Improper Neutralization of Special Elements used in an SQL Command and CWE-269 Improvement of Access Control when using indirect references for authorization decisions. The ability to bypass row-level security also touches upon aspects of CWE-732 Incorrect Permission Assignment for Critical Resource. In the context of the MITRE ATT&CK framework, this exploitation technique maps to T1059 Command and Scripting Interpreter via SQL commands and potentially T1005 Data from Local System if the attacker is operating within a local environment, though it primarily facilitates remote data exfiltration consistent with T1048 Exfiltration Over Alternative Protocol. The use of error-based extraction methods specifically relates to techniques used in blind or time-based injection scenarios where direct output channels are restricted but side-channel information leakage via errors remains possible.
Mitigation strategies must focus on both immediate patching and long-term architectural improvements. The most urgent action is to apply the fix included in commit 690adb9, which presumably addresses the input validation logic for the order_by and group_by fields. Beyond applying this specific patch, developers should implement parameterized queries or prepared statements wherever possible to ensure that user input is treated strictly as data rather than executable code. If dynamic SQL construction is unavoidable due to framework limitations, strict allowlisting of permitted values for sorting and grouping columns is recommended over denylisting approaches like SqlGuard, which are inherently prone to bypasses through encoding variations or function-based attacks. Additionally, implementing robust error handling that prevents detailed database errors from being returned to the client will mitigate the effectiveness of EXTRACTVALUE and UPDATEXML based extraction techniques. Regular security audits focusing on dynamic query construction patterns across all API endpoints are essential to prevent similar vulnerabilities in other parts of the application.