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Thursday November 5, 2026 10:30am - 11:15am PST
AI orchestration platforms promise to automate your life. They deliver, just not always for you. Kestra, Langflow, Nocobase, Flowise, Activepieces, Dify, and Apache Airflow have quietly become critical infrastructure, and they all share the same dangerous assumption: anyone who can touch a workflow is trusted to run code on the host.

I went hunting across seven major platforms and walked out with multiple CVEs and critical-severity findings. I'll share an arsenal of RCE primitives: shell injection through template rendering, exec() on user-supplied "validation" code, eval() on raw LLM output, and unauthenticated API endpoints that hand you a shell. Then I'll demonstrate the kill shot: an unauthenticated attacker achieving full RCE through a single prompt injection into an LLM module.

When I reported these, some vendors told me code execution is intended behavior and security is the deployer's problem. I'll show you why that argument falls apart in real deployments, and walk through the trust boundary failures that keep producing the same bugs across the ecosystem.

You'll leave with a methodology for tearing these platforms apart, a catalog of recurring vulnerability patterns, and a framework for evaluating whether a platform's threat model survives contact with reality.
Speakers
PK

Peyton Kennedy

Senior Security Researcher, Endor Labs
Peyton Kennedy is a Senior Security Researcher, where he conducts security research on emerging open source technologies and analyzes vulnerabilities for the betterment of the community. Recent work has focused on AI and LLM integrations within open source projects and how trust boundaries... Read More →
Thursday November 5, 2026 10:30am - 11:15am PST
Room: Seacliff AB (Bay Level)
  Testing

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