CVE-2026-33324
SQLBot is an intelligent Text-to-SQL system based on large language models and RAG.
Published May 5, 2026 · updated Jul 24, 2026 · fit2cloud sqlbot
SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitization. An authenticated attacker can craft a malicious question to manipulate the LLM into generating and executing arbitrary SQL statements. When connected to a PostgreSQL data source, this can lead to remote code execution via COPY FROM PROGRAM. This issue has been fixed in version 1.7.1.
Code
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No public source repository is identified for this product.
Timeline
Detection, updates, and resolution for this record.
May 5, 2026 · NIST NVD
Detected
SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitizati
Jul 24, 2026 · NIST NVD
Updated
SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or escaping, and the SQL extracted from the LLM response is executed against the database without validation or sanitizati
Affected
- cpe fit2cloud/sqlbotversion unspecified
Sources
- CVE.orgVulnerability recordCVE-2026-33324
Official CVE identifier
cve.org - NIST NVDVulnerability recordCVE-2026-33324
SQLBot is an intelligent Text-to-SQL system based on large language models and RAG. In versions 1.7.0 and earlier, the Text2SQL chat interface is vulnerable to prompt injection. The user-provided question parameter is directly concatenated into the LLM prompt without filtering or
nvd.nist.gov