Security & Threat Intelligence · 25.07.2026, 15:29 UTC
Accelerating EDR Evasion with LLM-Driven Analysis
| Schweregrad | info |
|---|---|
| Kategorie | Security & Threat Intelligence |
| Quelle | SpecterOps ↗ |
| Veröffentlicht | 25.07.2026 UTC |
Sicherheitsmeldung mit Schweregrad noch nicht bewertet. Technische Details im Tab „Originaltext“; empfohlene Schritte in der Checkliste.
Over the years I have enjoyed disassembling and debugging endpoint detection and response (EDR) and antivirus (AV) engines. For as long as I can remember I’d have evenings where I’d throw on some music, boot a virtual machine with kernel debugging enabled, and spend time searching for different evasion methods. While a fun way to unearth some new novel techniques, at times the slow grind can be frustrating when a deadline looms, or an engagement needs a specific evasion to progress undetected. So when LLMs became available with the capability to drive the reversing effort, I was excited to give them a shot to speed up this process.
In my previous post, Disposable Tooling: Building LLM-Generated Mythic Agents from Prompt to Deployment, I detailed how LLMs are assisting offensive security researchers with payload generation. In this post we’ll continue this mini-series by looking at how LLMs are also impacting how we approach endpoint security, including LLM-driven EDR evasion.
The Balance Of Disclosure
Every Red Team worth their salt has various evasion techniques which they rely on behind the scenes. We all have bypasses that work with different products, or certain tricks that are passed around in hushed tones over a few drinks at a conference.
In terms of EDR evasion techniques, those conversations are about to become very public.
Justin Elze wrote an awesome blog post highlighting TrustedSec’s internal use of LLMs to analyse different EDR products. I’m pretty sure like us, many of you will have read the post and immediately drew parallels to what you are seeing …