The Hidden Risk in Your Stack

In this episode of Data Security Decoded, host Caleb Tolin sits down with Hayden Smith, CEO of Hunted Labs, as he breaks down how software supply chain attacks really work, why open source dependencies create unseen exposure, and what modern threat actors are doing to exploit trust at scale. Caleb and Hayden dive deep into real-world attacks, emerging TTPs, AI-powered threat hunting, and what organizations must do today to keep pace. Listeners walk away with a clear picture of the problem—and a practical blueprint for reducing supply chain risk. What You’ll Learn How modern attackers infiltrate open source ecosystems through fake accounts and counterfeit package contributions. Why dependency chains dramatically amplify both exposure and attacker leverage. How to use threat intelligence and threat hunting to proactively evaluate upstream packages before adoption. Where AI-powered code analysis is changing the ability to discover hidden vulnerabilities and suspicious patterns. Why dependency pinning, SBOM discipline, and continuous monitoring now define a strong supply chain posture. Episode Highlights 00:00 — Welcome + Why Software Supply Chain Risk Matters 02:00 — Hayden’s Non-Cyber Passion + Framing Today’s Topic 03:00 — Why Open Source Powers Everything—and Why That Creates Exposure 06:00 — The Real Attack Vector: Contribution as Initial Access 08:00 — Inside the Indonesian “Fake Package” Campaign 10:30 — How to Evaluate Code + Contributor Identity Together 12:00 — Threat Hunting and AI-Enabled Code Interrogation 15:00 — The Challenge of Undisclosed Vulnerabilities in Widely Used Components 16:30 — How Recovery Works When Malware Is Already in Your Stack 19:00 — Continuous Monitoring as the Foundation of Modern Supply Chain Security 22:00 — Pinning, Maintainer Analysis, and Code Interrogation Best Practices 24:00 — Where to Learn More About Hunted Labs Episode Resources Hunted Labs — https://huntedlabs.com Hunted Labs Entercept Hunted Labs “Hunting Ground” research blog Open Source Malware (Paul McCarty)