Chainlit AI Framework Vulnerabilities Allow Cloud Account Takeover

Vulnerabilities in Chainlit

The Chainlit open-source AI chatbot framework is affected by two vulnerabilities – CVE-2026-22218 and CVE-2026-22219 – that could allow attackers to access sensitive data and potentially take over cloud accounts. Chainlit is downloaded over 200,000 times per week from the Python Package Index (PyPI), making the vulnerabilities widespread.

AI systems, despite their complexity, are built on standard IT infrastructure and therefore susceptible to traditional vulnerabilities; however, their interconnected nature and rapid development cycles can exacerbate the risks and potential impact. A successful exploit could lead to data loss, lateral movement within a network, and even source code theft.

Key Insights

• CVE-2026-22218 & CVE-2026-22219: Discovered by Zafran Security researchers in January 2026.
• SSRF Risk: Server-Side Request Forgery (SSRF) vulnerabilities are common in applications that fetch data from external URLs.
• IMDSv1: Chainlit deployments on AWS EC2 instances using Instance Metadata Service version 1 (IMDSv1) are particularly vulnerable to credential theft.

Practical Applications

• Use Case: Companies using Chainlit to build internal chatbots for accessing sensitive data are at risk of data breaches.
• Pitfall: Overlooking traditional web vulnerabilities in AI frameworks due to a focus on AI-specific threats like prompt injection.

References:

• https://www.darkreading.com/vulnerabilities-threats/vulnerabilities-break-chainlit-ai-framework