Chainlit AI Framework Flaws Enable Data Theft via File Read and SSRF Bugs

Chainlit AI Framework Flaws Enable Data Theft via File Read and SSRF Bugs

Security vulnerabilities in the open-source AI framework Chainlit, known as ChainLeak, can lead to data leaks and lateral movement within organizations. These flaws, addressed in version 2.9.4, highlight the growing security risks associated with AI infrastructure and third-party components. #Chainlit #ChainLeak #CVEs #AIvulnerabilities #ServerSideRequestForgery

Keypoints

  • Two high-severity vulnerabilities in Chainlit, CVE-2026-22218 and CVE-2026-22219, enable file reading and SSRF attacks.
  • Attackers can leverage these flaws to access sensitive data, API keys, and internal systems.
  • Chainlitโ€™s popularity, with over 7.3 million downloads, increases the risk of widespread exploitation.
  • Responsible disclosure led to a patch in version 2.9.4, but the vulnerabilities reveal larger security concerns in AI frameworks.
  • Related vulnerabilities in Microsoftโ€™s MarkItDown MCP Server expose organizations to privilege escalation and data leakage.

Read More: https://thehackernews.com/2026/01/chainlit-ai-framework-flaws-enable-data.html