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Vulnerabilities Threaten to Break Chainlit AI Framework

ID: e52d6629-b67a-5f9a-a809-21e1a036334a

STIX ID: report--e52d6629-b67a-5f9a-a809-21e1a036334a

Feed Name: Dark Reading

Threat Score
72/100

Date Published: 2026-01-20

Date Updated: 2026-04-21

Author: Nate Nelson, Contributing Writer

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Researchers at Zafran disclosed two high-severity flaws in the Chainlit conversational AI framework: one lets an attacker update message "custom elements" to read arbitrary server files, and the other is a server-side request forgery (SSRF) that can fetch internal URLs (including AWS IMDSv1), enabling credential theft, cloud takeovers, and data/source-code exfiltration; Chainlit released version 2.9.4 to patch the issues.

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