EUVD-2026-27446CVSS VectorNVD
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:H/SI:H/SA:H/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Lifecycle Timeline
3DescriptionNVD
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.
AnalysisAI
Prompt injection in SQLBot 1.7.0 and earlier allows authenticated attackers to execute arbitrary SQL statements through the Text2SQL chat interface, escalating to remote code execution when connected to PostgreSQL databases via COPY FROM PROGRAM. The vulnerability stems from unsanitized user input being directly concatenated into LLM prompts, with resulting SQL executed without validation. …
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RemediationAI
Within 24 hours: Identify all systems running SQLBot 1.7.0 or earlier and assess their PostgreSQL connectivity and data sensitivity. Within 7 days: Apply vendor-released patch to SQLBot 1.7.1 on all affected instances and validate through testing. …
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