CVE-2026-32950: SQLBot is an intelligent data query system based on a large language model and RAG.

SQLBot is an intelligent data query system based on a large language model and RAG.

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.

Description from the National Vulnerability Database, published by GitHub

What it means for a small business

If your business uses SQLBot, install the vendor's update. If you're not sure whether you use it, ask whoever manages your computers.

How likely is an attack? The Exploit Prediction Scoring System, run by FIRST (the global association of security response teams), puts the odds of this one being exploited in the next 30 days at 0.89%, higher than 59% of CVEs. That’s low, but low isn’t zero, and the odds jump the day someone publishes an exploit. Scored October 29, 2026, updated daily.

Check your own setup

Website check: reads what your site runs from the outside (WordPress version, plugins it can see, old server software) and matches it against this database.
Server check: what your web server says about itself, and whether that version has known flaws.

Sources

Part of the Huttenlocher Technologies vulnerability database, refreshed twice a day from CISA and the NVD. The title, category and plain-language guidance are ours; check the linked record before acting on a detail. This is general guidance, not a review of your systems.

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