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Critical Chainlit AI Vulnerabilities Let Hackers Gain Control Over Cloud Environments

Cybersecuritynews •Abinaya • January 22, 2026

Cybersecurity researchers have uncovered two critical security flaws in Chainlit, a widely used open-source AI framework with over 700,000 monthly downloads. The vulnerabilities allow attackers to steal sensitive cloud credentials, leak database files, and take control of enterprise AI environments without user interaction. Zafran Labs identified these flaws affecting internet-facing deployments across enterprises. Both vulnerabilities […]

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This article is one source in a clustered incident — the cluster page carries the summary, timeline and every other outlet covering it.

Critical Chainlit AI Vulnerabilities Expose Cloud Environments to Attack Two critical vulnerabilities have been identified in Chainlit, an open-source AI framework used widely across enterprises. Discovered by Zafran Labs, these flaws enable attackers to steal sensitive cloud credentials and gain control over AI environments without user interaction. The vulnerabilities affect internet-facing deployments, posing significant risks to organizations utilizing Chainlit. 3 sources 42

Critical Chainlit AI Vulnerabilities Let Hackers Gain Control Over Cloud Environments

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