Chainlit AI framework bugs let hackers breach cloud environments
Recorded: Jan. 21, 2026, 11:03 p.m.
| Original | Summarized |
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Chainlit, a popular open-source framework for building conversational AI applications, has been found to contain two critical vulnerabilities – CVE-2026-22218 and CVE-2026-22219 – that enable unauthorized access to server files and sensitive information. Zafran Labs researchers identified these flaws, which they dubbed ‘ChainLeak,’ impacting internet-facing AI systems deployed across diverse sectors including large enterprises and academic institutions. The framework, with an average of 700,000 monthly downloads from the PyPI registry and 5 million annual downloads, provides a ready-made web UI for chat-based AI, backend plumbing, and deployment support. The primary vulnerability, CVE-2026-22218, stems from an arbitrary file read issue within the `/project/element` endpoint. Attackers can exploit this by submitting a custom element with a controlled ‘path’ field, forcing Chainlit to copy the specified file into the attacker’s session. This process bypasses standard validation, granting attackers access to any file accessible on the Chainlit server. Sensitive data, including API keys, cloud account credentials, source code, internal configuration files, SQLite databases, and authentication secrets, are all potentially obtainable through this method. The secondary vulnerability, CVE-2026-22219, affects Chainlit deployments utilizing the SQLAlchemy data layer. It is exploited by setting the ‘url’ field of a custom element, prompting the server to fetch the URL via an outbound GET request and subsequently store the response. Attackers can then retrieve the fetched data using download endpoints, gaining access to internal REST services and probing internal IPs and services. Zafran Labs demonstrated a combined attack chain, showing that these vulnerabilities could be linked to achieve full system compromise and subsequent lateral movement within cloud environments. The researchers notified Chainlit maintainers on November 23, 2025, receiving acknowledgment on December 9, 2025. The vulnerabilities were subsequently remediated with the release of Chainlit version 2.9.4 on December 24, 2025. Given the high severity and potential for exploitation, impacted organizations are instructed to upgrade to 2.9.4 or later (currently version 2.9.6) as quickly as possible. The combination of these flaws highlights a significant risk for applications leveraging the Chainlit framework, particularly those exposed to the internet. |