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Hacktics and Telemetry, E6: Cisco SD-WAN Zero-Days, Mythos AI, and Pwn2Own Drama (ft. Stephen Fewer) Analytics Table

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Welcome to episode six of Hacktics and Telemetry, a Rapid7 produced podcast! Hosted by Douglas McKee (@fulmetalpackets) and Jonah Burgess (@_CryptoCat), this show brings you the latest in cybersecurity news, vulnerability research, and actionable defensive strategies. ā±ļø Episode Chapters 00:00 - Welcome to Hacktics and Telemetry & Pwn2Own Drama 04:35 - The Situation Room: Supply Chain Attacks, & Mythos AI Evaluations 24:05 - The War Room: Cisco SD-WAN Zero-Day with Stephen Fewer 47:13 - The Mitigation Minute: Threat Hunting SD-WAN & Secure Coding Foundations šŸ” Episode Highlights The Situation Room: We review recent evaluations of the Mythos AI agent. XBow’s evaluation revealed that while Mythos cuts false negatives in half, it surprisingly had a 92% success rate finding vulnerabilities without source code, compared to only 58% when given the source. We discuss Cloudflare's lessons for using AI in vulnerability research, emphasizing the need for narrow scopes, adversarial review between multiple agents, and splitting task chains. The War Room (Guest Segment): Stephen Fewer, Senior Principal Security Researcher at Rapid7, joins the War Room to discuss his and Jonah's discovery of CVE-2026-20182, a critical authentication bypass in Cisco Catalyst SD-WAN Controllers. Stephen explains how highly sophisticated threat actors (like UAT 8616) have been exploiting the SD-WAN fabric since 2023. We get an inside look at how the researchers leveraged AI workflows to analyze firmware diffs and decompile the native C code to quickly pinpoint the vulnerability's root cause and build a working Python PoC. Jonah shares how AI agents helped reduce his Metasploit module development time by 80-90% by incorporating framework documentation and past PR feedback. The Mitigation Minute (Sponsored by Rapid7): Doug and Jonah stress that simply patching SD-WAN edge devices is not enough if a threat actor has already established persistence. Defenders must actively hunt for IOCs, anomalous SSH connections, peering events with null IP addresses, and unexpected route redistributions. We highlight the popular curl project as the ultimate defense against AI bug hunters. Despite having over 178,000 lines of code, the advanced Mythos AI only found one low-severity vulnerability. The takeaway? Foundational secure coding practices are still the best defense against automated AI vulnerability scanners. šŸ”— Resources & Links Episode Stories & Research: Pwn2Own 2026 Drama: https://r-7.co/49aN0kD TanStack npm supply chain attack: https://r-7.co/43lNLE1 Socket.dev npm compromised packages: https://r-7.co/4dAeQYP XBow evaluates Mythos AI: https://r-7.co/42OLYqP Cloudflare’s experience with frontier models: https://r-7.co/42OtcQo Mythos finds a single vulnerability in curl: https://r-7.co/42NKH3q Rapid7 Resources: Official Rapid7 Analysis of CVE-2026-20182: https://r-7.co/3PuckLR AttackerKB Analysis for previous SD-WAN CVE (CVE-2026-20127): https://r-7.co/4uppWat

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