A AegiFlow
CRITICALCVSS 9.8EPSS 0.6%

CVE-2025-1793

llama_index vulnerable to SQL Injection

Published
2025-06-05
Modified
2026-07-21
EPSS percentile
44%
Aliases
GHSA-v3c8-3pr6-gr7p
Sources
github-advisory

Summary

Multiple vector store integrations in run-llama/llama_index version v0.12.21 have SQL injection vulnerabilities. These vulnerabilities allow an attacker to read and write data using SQL, potentially leading to unauthorized access to data of other users depending on the usage of the llama-index library in a web application.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIllama-index0.12.28

Remediation: Upgrade to 0.12.28 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.