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CVE Vulnerability Database

CVE-2026-7206: sqlite-mcp SQL Injection Vulnerability

CVE-2026-7206 is a SQL injection flaw in dubydu sqlite-mcp affecting the extract_to_json function. Attackers can exploit this remotely via the output_filename argument. This post covers technical details, affected versions, impact, and mitigation steps.

Published:

CVE-2026-7206 Overview

A SQL injection vulnerability has been discovered in dubydu sqlite-mcp up to version 0.1.0. The vulnerability exists in the extract_to_json function within the src/entry.py file, where improper handling of the output_filename argument allows attackers to inject malicious SQL commands. This flaw can be exploited remotely over the network, and an exploit has been publicly released, increasing the risk of active attacks.

Critical Impact

Remote SQL injection allowing attackers to manipulate database queries through the output_filename parameter in the extract_to_json function, potentially leading to unauthorized data access, modification, or deletion.

Affected Products

  • dubydu sqlite-mcp version 0.1.0 and earlier

Discovery Timeline

  • 2026-04-28 - CVE CVE-2026-7206 published to NVD
  • 2026-04-29 - Last updated in NVD database

Technical Details for CVE-2026-7206

Vulnerability Analysis

This vulnerability is classified as CWE-74 (Improper Neutralization of Special Elements in Output Used by a Downstream Component), commonly known as injection. The extract_to_json function in src/entry.py fails to properly sanitize the output_filename argument before incorporating it into SQL queries. This allows an attacker to craft malicious input that breaks out of the intended query structure and executes arbitrary SQL commands.

The network-accessible nature of this vulnerability means attackers can exploit it remotely without requiring local access to the system. The public availability of exploit code significantly lowers the barrier to exploitation.

Root Cause

The root cause of this vulnerability is insufficient input validation and sanitization of the output_filename parameter in the extract_to_json function. The application directly incorporates user-supplied input into SQL query construction without properly escaping or parameterizing the values, enabling injection attacks.

Attack Vector

The attack is conducted over the network by sending specially crafted input to the output_filename parameter. An attacker can manipulate this parameter to inject SQL commands that will be executed by the underlying SQLite database. Since the exploit has been publicly released, attackers can leverage existing proof-of-concept code to target vulnerable installations.

The vulnerability mechanism involves improper neutralization of special characters in the output_filename argument within src/entry.py. When malicious SQL syntax is passed through this parameter, it is incorporated directly into database queries without sanitization, allowing attackers to modify query logic or execute additional SQL statements. For detailed technical analysis, refer to the GitHub Issue Tracker and VulDB Vulnerability Details.

Detection Methods for CVE-2026-7206

Indicators of Compromise

  • Unusual SQL syntax or special characters (such as single quotes, semicolons, or SQL keywords) appearing in output_filename parameter values in application logs
  • Database error messages indicating malformed queries or unexpected SQL statements
  • Unexpected data extraction, modification, or deletion activities in the SQLite database
  • Anomalous network requests targeting the extract_to_json functionality

Detection Strategies

  • Implement web application firewall (WAF) rules to detect SQL injection patterns in request parameters
  • Deploy application-level logging to capture and analyze all inputs to the extract_to_json function
  • Use intrusion detection systems (IDS) with signatures for common SQL injection attack patterns
  • Monitor for abnormal database query patterns that deviate from expected application behavior

Monitoring Recommendations

  • Enable detailed logging for the sqlite-mcp application, particularly around the extract_to_json function
  • Set up alerts for database query failures or syntax errors that may indicate injection attempts
  • Monitor network traffic for suspicious requests containing SQL metacharacters targeting the vulnerable endpoint
  • Regularly review database audit logs for unauthorized queries or data access patterns

How to Mitigate CVE-2026-7206

Immediate Actions Required

  • Update dubydu sqlite-mcp to a version that includes the security patch (commit a5580cb992f4f6c308c9ffe6442b2e76709db548 or later)
  • If immediate patching is not possible, restrict network access to the vulnerable application
  • Implement input validation at the application perimeter to filter potentially malicious input
  • Review application logs for any signs of prior exploitation attempts

Patch Information

A security patch is available that addresses this SQL injection vulnerability. The fix is identified by commit hash a5580cb992f4f6c308c9ffe6442b2e76709db548. Organizations should apply this patch immediately by updating to the latest version of sqlite-mcp from the GitHub Project Repository. Additional details about the fix can be found in the GitHub Commit Details and GitHub Pull Request.

Workarounds

  • Implement strict input validation to sanitize the output_filename parameter before processing
  • Use parameterized queries or prepared statements if modifying the application code directly
  • Deploy a web application firewall (WAF) with SQL injection detection rules as a compensating control
  • Restrict network access to the sqlite-mcp application to trusted sources only until patching can be completed
bash
# Configuration example
# Update sqlite-mcp to patched version
cd /path/to/sqlite-mcp
git fetch origin
git checkout a5580cb992f4f6c308c9ffe6442b2e76709db548

# Alternatively, update via pip if available
pip install --upgrade sqlite-mcp

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

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