CVE-2025-1750
9.8 · CRITICALOverview
CVE-2025-1750 is a critical-severity vulnerability affecting llamaindex llamaindex. It was published on June 2, 2025 and has a CVSS 3.0 base score of 9.8 (CRITICAL).
This vulnerability has a CVSS 3.0 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
An SQL injection vulnerability exists in the delete function of DuckDBVectorStore in run-llama/llama_index version v0.12.19. This vulnerability allows an attacker to manipulate the ref_doc_id parameter, enabling them to read and write arbitrary files on the server, potentially leading to remote code execution (RCE).
Remediation
Check the references section for vendor advisories and patches from llamaindex. Update llamaindex to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| llamaindex | llamaindex | >= 0.12.19, < 0.12.21 | Affected |
Frequently Asked Questions
What is CVE-2025-1750?
CVE-2025-1750 is a critical-severity vulnerability affecting llamaindex llamaindex. It was published on June 2, 2025 and has a CVSS 3.0 base score of 9.8 (CRITICAL).
How severe is CVE-2025-1750?
This vulnerability has a CVSS 3.0 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2025-1750?
Check the references section for vendor advisories and patches from llamaindex. Update llamaindex to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2025-1750?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-1750 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
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Browser-based exploitation validates findings with real proof-of-concept.
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