Post by Valerian Griffiths

My AI Shellcode Loading Agent Bypassed CrowdStrike in Just 2 Attempts. Instant callbacks. No sleep obfuscation. Pure Windows internals abuse. Polymorphic payloads on every build. From stealthy syscalls to payload injection and placement, call stack and thread spoofing, anti-analysis techniques, and CrowdStrike's ML evasion, the agent takes care of it all. The loader targets critical components responsible for EDR telemetry collection and incorporates DLL blinding. It also uses patchless AMSI and ETW evading techniques using hardware breakpoints keeping it ready for fallback mechanisms built into its design. The result? Zero alerts on the CrowdStrike Falcon dashboard, even in Aggressive Mode, during my controlled testing. But the interesting part isn't just the result. It's how I got there. A year ago, I used to spend countless nights researching low-level Windows internals, developing shellcode loaders, and experimenting with EDR evasion techniques. Now, I feed my existing codebase and research to my AI agent, provide research objectives, and let it handle all the heavy lifting. It researches, implements, builds, transfers the payload over into my crowd strike instance, executes, asks for telemetry, and iteratively improves its approach based on detection feedback. Two iterations. That's what it took in this experiment. The offensive security landscape is evolving rapidly, and defenders must adapt just as quickly. With this experiment, I’m wrapping up my EDR bypass research series, where I’ve shared technical demonstrations of successfully bypassing most Tier 1 EDR solutions and establishing command-and-control callbacks. What's next? I'll be showcasing battle-tested agentic AI use cases across multiple domains of offensive security, demonstrating how autonomous AI agents are reshaping offensive security research, development, and operations. #CyberSecurity #RedTeam #AgenticAI #OffensiveSecurity #CrowdStrike #EDREvasion

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