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CVE Vulnerability Database
Vulnerability Database/CVE-2026-4530

CVE-2026-4530: apconw Aix-DB SQL Injection Vulnerability

CVE-2026-4530 is a SQL injection flaw in apconw Aix-DB up to version 1.2.3 that allows local attackers to manipulate the Description argument. This article covers technical details, affected versions, and mitigation steps.

Published: March 27, 2026

CVE-2026-4530 Overview

A SQL Injection vulnerability has been discovered in apconw Aix-DB versions up to 1.2.3. The vulnerability affects the file agent/text2sql/rag/terminology_retriever.py, where improper handling of the Description argument allows an attacker to inject malicious SQL commands. This is a local attack vector vulnerability that requires the attacker to have local access to the affected system.

The exploit has been publicly released and may be actively used for attacks. The vendor was contacted early about this disclosure but did not respond in any way, leaving users without an official patch.

Critical Impact

Local SQL injection vulnerability in Aix-DB's text-to-SQL RAG component allows attackers to manipulate database queries through the Description parameter, potentially leading to unauthorized data access, modification, or deletion.

Affected Products

  • apconw Aix-DB up to version 1.2.3
  • Component: agent/text2sql/rag/terminology_retriever.py
  • Text-to-SQL RAG (Retrieval-Augmented Generation) functionality

Discovery Timeline

  • 2026-03-22 - CVE CVE-2026-4530 published to NVD
  • 2026-03-23 - Last updated in NVD database

Technical Details for CVE-2026-4530

Vulnerability Analysis

This SQL Injection vulnerability (CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component) exists in the terminology retriever component of Aix-DB's text-to-SQL RAG pipeline. The vulnerability stems from insufficient input sanitization when processing the Description argument, which is directly incorporated into SQL queries without proper parameterization or escaping.

The text-to-SQL functionality is designed to convert natural language queries into SQL statements, making it particularly susceptible to injection attacks if input validation is not properly implemented. When user-supplied content in the Description field is processed, malicious SQL fragments can be injected that alter the intended query logic.

The local attack vector requirement means an attacker must have some level of access to the system or application interface to exploit this vulnerability. Once exploited, the attacker could potentially read sensitive database contents, modify or delete data, or in some configurations, execute administrative operations.

Root Cause

The root cause of this vulnerability is improper neutralization of user input in the terminology_retriever.py file. The Description argument is passed to database queries without adequate sanitization, allowing special SQL characters and commands to be interpreted as part of the query rather than as literal data. This is a classic example of failing to implement parameterized queries or prepared statements when handling user-controllable input.

Attack Vector

The attack requires local access to the Aix-DB system. An attacker with access to the text-to-SQL interface can craft a malicious Description value containing SQL injection payloads. When this Description is processed by the terminology retriever component, the injected SQL commands are executed against the underlying database.

The vulnerability mechanism involves manipulating the Description parameter to break out of its expected context and inject arbitrary SQL statements. For detailed technical analysis and proof-of-concept information, refer to the GitHub PoC Documentation.

Detection Methods for CVE-2026-4530

Indicators of Compromise

  • Unusual or malformed queries in database logs containing SQL syntax in Description fields
  • Unexpected database errors or exceptions originating from the terminology_retriever.py component
  • Anomalous database access patterns, particularly involving the text-to-SQL RAG functionality
  • Evidence of data exfiltration or unauthorized modifications to database records

Detection Strategies

  • Monitor database query logs for SQL injection patterns such as single quotes, UNION statements, OR 1=1 conditions, and comment characters (--) in Description fields
  • Implement application-level logging for the agent/text2sql/rag/terminology_retriever.py component to track input parameters
  • Deploy database activity monitoring (DAM) solutions to detect anomalous query patterns
  • Use SentinelOne Singularity™ to detect suspicious process behaviors and potential exploitation attempts

Monitoring Recommendations

  • Enable verbose logging for the Aix-DB text-to-SQL module and review logs regularly for suspicious input patterns
  • Configure database audit logging to capture all queries executed through the affected component
  • Set up alerts for database errors that may indicate injection attempts, such as syntax errors or constraint violations
  • Implement runtime application self-protection (RASP) for real-time detection of injection attacks

How to Mitigate CVE-2026-4530

Immediate Actions Required

  • Restrict local access to the Aix-DB system to only trusted users until a patch is available
  • Implement input validation at the application layer to filter potentially malicious Description values
  • Consider disabling or restricting access to the text-to-SQL RAG functionality if not critical to operations
  • Apply network segmentation to limit the blast radius of potential exploitation

Patch Information

No official patch is currently available from the vendor. According to the vulnerability disclosure, the vendor was contacted early about this issue but did not respond. Users should monitor the VulDB entry and the vendor's official channels for any future security updates. In the absence of an official fix, implementing the workarounds below is strongly recommended.

Workarounds

  • Implement strict input validation and sanitization for the Description parameter, rejecting inputs containing SQL metacharacters
  • Modify the terminology_retriever.py file to use parameterized queries or prepared statements for all database interactions
  • Deploy a web application firewall (WAF) or database firewall with SQL injection rules to filter malicious requests
  • Limit database user permissions for the Aix-DB application to the minimum required privileges, preventing destructive operations even if injection occurs
bash
# Example: Restrict file permissions on vulnerable component
chmod 600 agent/text2sql/rag/terminology_retriever.py
chown root:root agent/text2sql/rag/terminology_retriever.py

# Example: Database privilege restriction (MySQL/MariaDB)
REVOKE DELETE, DROP, ALTER ON aix_db.* FROM 'aix_app_user'@'localhost';
FLUSH PRIVILEGES;

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechApconw

  • SeverityMEDIUM

  • CVSS Score4.8

  • EPSS Probability0.02%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityLow
  • CWE References
  • CWE-74
  • Technical References
  • GitHub PoC Documentation

  • VulDB CTI ID #352318

  • VulDB #352318

  • VulDB Submission #774072
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