Vulnerability · CVE-2026-33324
SQLBot is an intelligent Text-to-SQL system based on large language models and RAG.
Published May 5, 2026 · catalog updated Jul 24, 2026 · SQLBot is an intelligent
Check if you run it
No confirmed exploitation is on record for CVE-2026-33324. EPSS is 0.84%. Act only if a listed version of SQLBot is an intelligent is installed.
Gaps on this record
- The stored product name is a package slug. The name on this page is taken from the title (SQLBot is an intelligent).
- No vendor fix or required action is stored. Compare the linked advisory before you change production.
- Severity
- Critical9.4
- Known exploitation
- Not in CISA/VulnCheck KEV
- EPSS
- 0.84%
- Remediation
- Version ranges on file
- Affected products
- cpe fit2cloud/sqlbot · stated 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.
Are you affected?
Enter the version you run. The result uses only the ranges stored on this record.
The check returns affected, not affected, or incomplete. It does not guess a version that is missing from the record.
- cpe fit2cloud/sqlbotversion unspecified
- stated sqlbot<= 1.7.0
How to fix CVE-2026-33324
Recommended remediation
Affected version ranges suggest a fixed boundary. Verify against the vendor advisory for your release.
Official advisories
What to do
Three questions, each answered from this record only. Confirm the vendor advisory before you patch.
Should you patch?
No confirmed exploitation is on record for CVE-2026-33324. EPSS is 0.84%. Act only if a listed version of SQLBot is an intelligent is installed.
Which versions are affected?
Compare what you have installed with <= 1.7.0. Compare the installed version with the linked vendor advisory before you change production.
What should an analyst verify?
CWE-89: SQL Injection. EPSS 0.84%. There is no CISA KEV listing. No Exploit-DB or Metasploit reference is linked. Use the source links for the original advisory.
Code
The project this record applies to. Exploit listings stay in References.
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
Sources
- CVE.orgVulnerability recordCVE-2026-33324
Official CVE identifier
cve.org - FIRST EPSSExploitation probabilityCVE-2026-33324
30-day exploitation probability 0.8%
first.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
References
Freshness
Last verified in this catalog Oct 18, 2026. Significant claims (KEV, EPSS, CVSS, affected ranges) come from the source rows above — open the original publisher for the authoritative advisory.