Malware Classification Walkthrough

Room : https://tryhackme.com/room/malwareclassification#

Once upon a time in SOC land, I was handed the keys to a dashboard glowing red with alerts. My mission? Classify malware like a true cyber-detective and prove my worth. Spoiler: it was a ride full of pop-ups, encrypted chaos, and shady processes wearing fake names.


πŸ—‚οΈ Task 1 – Introduction#

The story began with a warmup. Malware isn’t just evil software; it’s like a toolbox for chaos: stealing secrets, wrecking systems, or popping ads in your face.
The SOC analyst’s role? Spot it, name it, stop it. Simple enough… until you see β€œsystem_update.exe” doing creepy things.

Answer: No answer needed βœ…


🧩 Task 2 – Malware Types#

I was introduced to the β€œvillains gallery” β€” each malware type with its own evil personality:

  • Adware: the annoying cousin who spams pop-ups.
  • Spyware: the stalker hiding behind the curtains.
  • Ransomware: the extortionist with a padlock.
  • Wiper: the psycho who deletes everything.
  • C2/RAT: the puppet master.
  • Data Stealer: the kleptomaniac.
  • Keylogger: the nosy typist watcher.
  • Cryptominer: the electricity thief.

Q&A:

  • High CPU, system slow β†’ cryptominer βœ…
  • Files locked + ransom note β†’ ransomware βœ…
  • Browser spams pop-ups β†’ adware βœ…
  • Leaked internal documents β†’ data stealer βœ…

🌍 Task 3 – Real-World Examples#

This was where the villains got famous names:

  • Pegasus – the spyware spy of governments.
  • Akira – ransomware with a double-extortion hobby.
  • Shamoon – wiper that nuked oil company networks.
  • Agent Tesla – the sneaky infostealer.
  • RedLine Stealer – keylogger + data thief hybrid.
  • QakBot – the RAT that just won’t die.

Q&A:

  • Logs keystrokes + screenshots β†’ Agent Tesla βœ…
  • Zero-click spyware on phones β†’ Pegasus βœ…
  • Ransomware stealing + leaking β†’ Akira βœ…
  • Nuked Saudi Aramco β†’ Shamoon βœ…

πŸ’» Task 4 – Binary vs Script Malware#

Here came the hacker’s toolkit showdown:

  • Binary Malware: solid, heavy, compiled executables (.exe, .bat, etc.) β€” hard to change but easier to fingerprint.
  • Script Malware: sneaky, lightweight, written in scripting languages β€” flexible and easily obfuscated.

We even saw a LummaStealer example dropping payloads straight into memory, avoiding disk like a ninja.

Q&A:

  • Script malware’s favorite downloader β†’ PowerShell βœ…
  • Another Windows executable extension β†’ .bat βœ…
  • Leaves byte patterns for AV detection β†’ Binaries βœ…

πŸ•΅οΈ Task 5 – Practical SOC Analyst Roleplay#

Now it got cinematic: I sat in the SOC, alerts pouring in. One by one, I classified them:

  1. ads_service.exe with pop-ups β†’ Adware
  2. system_update.exe stealing clipboard/email data β†’ Spyware
  3. Mass .encrypted files + ransom note β†’ Ransomware
  4. disk_cleaner.exe nuking backups β†’ Wiper
  5. svchost32.exe beaconing to C2 β†’ Trojan (RAT)
  6. docu_manager.exe stealing sensitive files β†’ Data Stealer
  7. DLL injection in winlogon.exe capturing keys β†’ Keylogger
  8. svcupdate.exe hogging CPU for mining β†’ Cryptominer

Flag:
THM{Malwar3_****************} βœ…


🎯 Task 6 – Conclusion#

Mission complete. After 45 minutes of digital detective work, I walked away knowing:

  • Malware has many faces, from noisy adware to destructive wipers.
  • Binaries leave fingerprints, scripts morph like shapeshifters.
  • SOC analysts survive by classifying fast and acting smart.

Answer: No answer needed βœ…


πŸš€ Final Thoughts#

This room was like joining CSI: Cyber, but with fewer neon lights and more packet captures. If you want to sharpen your instincts as a SOC analyst, this one’s a must-try.


Adapted from Jery0843/TryHackMe under MIT.

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