Attack Chain

1. An attacker identifies a vulnerable instance of dubydu sqlite-mcp running a version prior to the patched version.
2. The attacker crafts a malicious request targeting the extract_to_json function in src/entry.py.
3. The attacker injects SQL code into the output_filename argument of the request.
4. The application processes the attacker-supplied output_filename argument without proper sanitization.
5. The unsanitized input is passed directly to the underlying SQLite database engine.
6. The SQLite database executes the injected SQL commands, potentially allowing the attacker to read sensitive data, modify data, or execute system commands, depending on the application’s privileges and database configuration.
7. The attacker retrieves the results of the injected SQL query, such as extracted data or confirmation of successful command execution.
8. The attacker leverages the compromised database to achieve further objectives, such as data exfiltration or privilege escalation.

Impact

Successful exploitation of this SQL injection vulnerability (CVE-2026-7206) can allow an attacker to execute arbitrary SQL queries against the underlying SQLite database. This could lead to the disclosure of sensitive information, modification of data, or even complete compromise of the application and the system it resides on. The CVSS v3.1 base score is 7.3, indicating a high severity vulnerability. Given the public availability of an exploit, affected systems are at an elevated risk of attack.

Recommendation

• Apply the provided patch a5580cb992f4f6c308c9ffe6442b2e76709db548 to remediate CVE-2026-7206.
• Implement input validation and sanitization measures to prevent SQL injection attacks, focusing on the output_filename parameter of the extract_to_json function.
• Monitor web server logs for suspicious requests targeting the extract_to_json function using the Sigma rule Detect Suspicious sqlite-mcp Requests.