. * .  .  *
  *    .    *
     .-~~~-.
  __|_______|__
 (  .  .  .  . )
  '~~~~~~~~~~~~~'
      |   |
   *  .   .  *
  .  *  .    .
0x07 // AREA41::2026
The Linux Evasion Stack: Breaking All 3 EDR Pillars With io_uring & ELF Packing
SPEAKER: Massimo Bertocchi DURATION: 21:04

Endpoint Detection and Response (EDR) platforms rely entirely on telemetry to identify malicious behavior. If an attacker can blind the collection mechanisms, the entire detection and response pipeline collapses. While defensive research heavily scrutinizes Windows, Linux environments face unique architectural constraints that leave them exposed. Massimo Bertocchi demonstrates that security vendors often avoid deep kernel-level hooks on Linux to prevent system crashes, instead relying on a mix of user-land hooks, tracepoints, and kprobes. This creates a specific blind spot that attackers can target to execute payloads silently.

To break the first detection pillar—static analysis and sandboxing—Bertocchi shows that attackers do not need complex source code alterations. By applying a basic RC4 encryption packer and a simple execution delay timer, they dropped VirusTotal detection rates for a sample payload from 36 down to just two. Once past static checks, the malware bypasses execution visibility by loading the decrypted payload directly into RAM using the `memfd_create` system call. This completely avoids writing malicious files to disk. To evade user-land hooking from the standard C library, the payload uses direct assembly system calls to interact with the kernel.

The most difficult hurdle in Linux evasion is bypassing kernel-level eBPF probes and tracepoints without root privileges. EDRs heavily monitor standard file operation system calls like read and write. To circumvent this, Bertocchi identified `io_uring`, an asynchronous I/O interface introduced in Linux kernel 5.1. Because it uses shared ring buffers between user space and the kernel, `io_uring` bypasses the standard tracepoints that EDRs monitor. To prove its effectiveness, they developed a proof-of-concept ransomware tool called Unfold, successfully encrypting 203 files on a test system without generating a single security alert.

Even with invisible read and write operations, the simple sequence of allocating a memory file and executing it can trigger behavioral analysis engines. To counter this, Bertocchi introduces artificial noise, such as junk file reads or wait commands, and randomizes the loader's operation sequence to break static behavioral signatures. They packaged these methods into an open-source tool called Armors, which supports ARM64 and x86 architectures, and recently macOS. By combining triple-layer encryption, anti-debugging checks, and memory wiping after execution, the tool proves that Linux EDR telemetry is fragile and easily bypassed using native operating system features.

// This summary was generated by AI. AI can make mistakes. If in doubt, watch the original conference recording.