Vulnerabilities · AI Security
Critical Flaws Found in LiteLLM Gateway Used to Connect AI Apps to OpenAI and Others
Researchers found two high-risk vulnerabilities in LiteLLM, a tool used by many companies to connect their AI apps to providers like OpenAI. Attackers could take over systems if the tool is not updated.
Ross GrantUpdated 3 min read
The short version
Researchers found two serious security flaws in LiteLLM, a tool that helps companies connect their apps to AI services like OpenAI. These flaws could let attackers take over the system and steal sensitive information. Users should update LiteLLM to the latest version to stay safe. Only one news outlet has reported this so far, so details may change.
By the numbers
- 100,000monthly downloads of LiteLLMInfosecurity Magazine
What happened?
Researchers at Check Point found two high-risk vulnerabilities (CVE-2026-35029 and CVE-2026-59823) in LiteLLM, a gateway tool used to connect AI applications to providers like OpenAI. The flaws could let any user take over the system. The issues affect versions before 1.83.9. Only one outlet has reported this so far.
What is LiteLLM and why do companies use it?
LiteLLM is an open-source gateway tool that helps organisations connect their applications to large language model (LLM) providers such as OpenAI, Google and Anthropic. Instead of each app connecting directly to an AI provider, requests go through LiteLLM, which manages credentials, logging and usage tracking. This centralises control and makes it easier for companies to manage access to AI services.
LiteLLM is widely used, with nearly 100,000 downloads a month, according to Infosecurity Magazine (opens in a new tab). Many enterprises rely on it to build and run AI-powered services.
The vulnerabilities: what was found?
Cybersecurity researchers at Check Point discovered two serious vulnerabilities in LiteLLM, tracked as CVE-2026-35029 and CVE-2026-59823. Both flaws affect versions older than 1.83.9. The main risk is that any user with an account on a vulnerable LiteLLM system could gain administrative access. This could allow them to take control of the gateway, access files, steal login credentials, and even run their own code on the system.
CVE-2026-35029 is due to a missing authorisation check. This means a user with limited permissions could change important settings and potentially load malicious code from cloud storage. CVE-2026-59823 is a server-side request forgery (SSRF) flaw, which could let an attacker redirect the gateway’s outgoing requests and expose sensitive API keys for AI providers.
What could attackers do?
If exploited, these vulnerabilities could let attackers:
- Take over the LiteLLM gateway
- Access or steal API keys for AI providers
- Run malicious code on the system
- Access files and potentially sensitive data
Because LiteLLM often stores credentials for multiple AI providers and manages user roles, a compromise could have wide-reaching effects inside an organisation.
What has been done and what should users do?
Check Point reported the flaws to LiteLLM through a coordinated disclosure process. The vulnerabilities are fixed in version 1.83.9 and later. Users are strongly urged to update to the latest version as soon as possible.
Experts recommend several steps to reduce risk:
- Audit who has access to your LiteLLM gateway and remove unused accounts
- Rotate API keys if there is any sign of unauthorised access
- Check that user permissions are enforced as expected
- Include LLM gateways in regular security assessments and penetration tests
Christopher Jess, a senior manager at Black Duck, noted that these are common application security issues, and that centralising AI access makes such gateways especially attractive targets.
What is still unclear?
So far, only Infosecurity Magazine (opens in a new tab) has reported these findings. There is no statement yet from LiteLLM, OpenAI, or any government agency. It is not clear if these vulnerabilities have been exploited in the wild. Organisations using LiteLLM should monitor for further updates and advisories from the vendor.
What you should do next
If your organisation uses LiteLLM, check your version and update to 1.83.9 or later. Review user accounts and permissions, and rotate API keys if you suspect any compromise. Make sure your security testing covers AI infrastructure, not just traditional web and cloud systems.
Claimed vs confirmed
- Confirmed
Any user account on a vulnerable LiteLLM deployment could take over the gateway and use it for malicious purposes.
Check Point researchers stated this in their findings, as reported by Infosecurity Magazine.
The impact
- Money
- If attackers steal API keys or take over systems, companies could face costs for incident response and possible regulatory fines. Under UK GDPR, fines can reach £17.5m or 4% of global turnover.
- Reputation
- A breach of an AI gateway could damage trust in a company's AI services, especially if sensitive data or credentials are exposed.
- Customers
- If you use a service powered by LiteLLM, your data could be at risk if the company has not patched these flaws. Customers should ask providers if they have updated their systems.
Why it matters
Many organisations use LiteLLM to manage access to AI services. If attackers exploit these flaws, they could take over systems, steal credentials, and disrupt business operations. Anyone relying on LiteLLM should check their version and update quickly.
How does it work?
CVE-2026-35029 is caused by a missing authorisation check, letting low-privileged users access admin functions and potentially execute code. CVE-2026-59823 is a server-side request forgery (SSRF) flaw that could let attackers redirect outgoing requests and expose API keys.
Key points
- LiteLLM is widely used to connect apps to AI providers like OpenAI.
- Two high-risk vulnerabilities could let attackers take over the system.
- The flaws affect versions before 1.83.9; updating fixes the problem.
- Attackers could steal API keys and run malicious code if not patched.
- Only one outlet has reported this so far; more details may emerge.
Sources
Infosecurity Magazine
Reference
- Warning Over High-Risk Vulnerabilities in Widely Used LLM Gateway Tool (opens in a new tab)
infosecurity-magazine.com
- Warning Over High-Risk Vulnerabilities in Widely Used LLM Gateway Tool (opens in a new tab)




