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Critical Langflow Flaws Could Let Unauthenticated Attackers Run Code on Servers

IBM disclosed two critical pre-authentication flaws in the popular AI-agent platform Langflow (all versions 1.0.0–1.12.8), enabling unauthenticated RCE—an urgent concern for any enterprise piloting AI workflow tools.

Summary written by editorial AI · Source link below

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Two critical flaws in Langflow could let a remote attacker with no account bypass authentication or run arbitrary code, IBM said last week.

Langflow is an open-source tool for building AI agents and workflows, and its vulnerability reports go to IBM. Every release from 1.0.0 through 1.12.8 has the flaws, and the only fix is version 1.13.0.

Neither flaw is in CISA's Known

Editorial Analysis

Why it matters

With enterprises rapidly adopting AI agent platforms, pre-auth RCE in Langflow highlights the risk of immature security in AI tooling that may already be running in production or shadow-IT environments.

What to do

Inventory all Langflow deployments across the organisation and patch or isolate instances immediately.

Board brief

Critical unauthenticated remote-code-execution flaws in a popular AI development tool require immediate patching wherever AI workflows are being piloted.

Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.

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