Warning Over High-Risk Vulnerabilities in Widely Used LLM Gateway Tool
Overview
Researchers have identified two high-risk vulnerabilities, CVE-2026-35029 and CVE-2026-59823, in LiteLLM, a tool widely used by businesses to connect their AI applications to major providers like OpenAI and Anthropic. These vulnerabilities could potentially allow attackers to exploit the system, posing a significant risk to enterprises relying on LiteLLM for their AI integrations. The implications are serious, as any breach could lead to unauthorized access to sensitive data or manipulation of AI models. Companies using LiteLLM should take immediate action to assess their systems and implement necessary security measures to protect against these vulnerabilities.
Key Takeaways
- Affected Systems: LiteLLM; vendors include OpenAI and Anthropic; enterprises relying on AI applications that use LiteLLM.
- Action Required: Users should assess their LiteLLM installations for these vulnerabilities and apply security patches as they become available.
- Timeline: Newly disclosed
Original Article Summary
CVE-2026-35029 and CVE-2026-59823 affect LiteLLM, which is commonly used by enterprises to connect their AI applications to providers like OpenAI and Anthropic
Impact
LiteLLM; vendors include OpenAI and Anthropic; enterprises relying on AI applications that use LiteLLM.
Exploitation Status
The exploitation status is currently unknown. Monitor vendor advisories and security bulletins for updates.
Timeline
Newly disclosed
Remediation
Users should assess their LiteLLM installations for these vulnerabilities and apply security patches as they become available. It is advisable to monitor updates from LiteLLM for any specific remediation steps or patches related to CVE-2026-35029 and CVE-2026-59823.
Additional Information
This threat intelligence is aggregated from trusted cybersecurity sources. For the most up-to-date information, technical details, and official vendor guidance, please refer to the original article linked below.
Related Topics: This incident relates to CVE, Exploit, Vulnerability.