Dissecting Digital Viruses: My First Steps in Malware Analysis

Gabriel CHALMET — Tue, 20 Jan 2026 10:34:49 +0000

Hey dev community! 👋

Most of us build things. We create apps, APIs, and features. But there's a smaller, darker side of software that fascinates me: Malware.

Lately, I've been diving into the world of Malware Analysis. It’s not just about "hacking"; it's about being a digital forensic scientist. You take a piece of code designed to hide and destroy, and you force it to tell you its secrets.

Here is how I started, and how you can too (without nuking your own computer).

1. Safety First: The "Lab"

You don't play with fire in a wooden house. Before opening a single malicious .exe, you need an isolated environment.

The VM: Use VirtualBox or VMware.
Host-Only Networking: Ensure the malware can't "phone home" or spread to your local network.
Snapshots: The most important feature. Messed up? Just roll back to a clean state in one click.

2. Static Analysis: Looking at the Beast

Before running the malware, we look at it while it's "asleep."

Detect It: Tools like Detect It Easy (DIE) tell you if the malware is "packed" (hidden inside a compressed layer).
Find the Strings: I always look for IPs, URLs, or weird commands. Finding powershell -enc... is usually a huge red flag.
The Decompiler: Loading a sample into Ghidra feels like looking at an X-ray. You start seeing the logic: "Oh, here is where it tries to achieve persistence by editing the Registry."

3. Dynamic Analysis: Watching it Wake Up

This is where the adrenaline kicks in. We run the malware and watch it through tools like Process Monitor (ProcMon) or x64dbg.

API Hooking: Watching it call InternetOpenUrlA or WriteFile.
The "Kill Switch": Sometimes, you find a simple if statement that checks for a specific domain. If the domain exists, the malware stops. This is how the WannaCry ransomware was famously slowed down.

4. Why this changed how I write code

Reversing malware makes you obsessed with edge cases. When you see how a buffer overflow is exploited in the wild, you never look at input validation the same way again. It turns "best practices" into "survival instincts."

Disclaimer: Always handle malware in a disconnected, virtualized environment. Stay ethical, stay legal.

DEV Community: Gabriel CHALMET

Dissecting Digital Viruses: My First Steps in Malware Analysis

1. Safety First: The "Lab"

2. Static Analysis: Looking at the Beast

3. Dynamic Analysis: Watching it Wake Up

4. Why this changed how I write code