CVSS VectorNVD
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Lifecycle Timeline
6DescriptionNVD
SQLBot is an intelligent data query system based on a large language model and RAG. Versions prior to 1.7.0 contain a critical SQL Injection vulnerability in the /api/v1/datasource/uploadExcel endpoint that enables Remote Code Execution (RCE), allowing any authenticated user (even the lowest-privileged) to fully compromise the backend server. The root cause is twofold: Excel Sheet names are concatenated directly into PostgreSQL table names without sanitization (datasource.py#L351), and those table names are embedded into COPY SQL statements via f-strings instead of parameterized queries (datasource.py#L385-L388). An attacker can bypass the 31-character Sheet name limit using a two-stage technique-first uploading a normal file whose data rows contain shell commands, then uploading an XML-tampered file whose Sheet name injects a TO PROGRAM 'sh' clause into the SQL. Confirmed impacts include arbitrary command execution as the postgres user (uid=999), sensitive file exfiltration (e.g., /etc/passwd, /etc/shadow), and complete PostgreSQL database takeover. This issue has been fixed in version 1.7.0.
AnalysisAI
SQLBot, an intelligent data query system based on large language models and RAG, contains a critical SQL injection vulnerability in the /api/v1/datasource/uploadExcel endpoint that allows authenticated users with minimal privileges to achieve remote code execution on the backend server. SQLBot versions prior to 1.7.0 are affected, and attackers can exploit unsafe concatenation of Excel sheet names into PostgreSQL table names and COPY statements to inject malicious SQL commands. …
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RemediationAI
Within 24 hours: Inventory all SQLBot deployments and document current versions; restrict network access to the /api/v1/datasource/uploadExcel endpoint to trusted administrators only. Within 7 days: upgrade all SQLBot instances to version 1.7.0 or later per vendor advisory. …
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EUVD-2026-13543