Listen to this Post
Don’t miss your opportunity to learn Reverse Engineering with Bryson Payne, Ph.D. (GREM, GPEN, GRID, CEH, CISSP) in a free public webinar on Wednesday, April 30, at 3 PM. Bryson will thoroughly examine malware live and provide a hands-on tutorial on reverse engineering techniques.
🔗 Register here: https://lnkd.in/d5t6pPFK
You Should Know:
1. Handling Malware Safely (For SOC Analysts)
Before diving into reverse engineering, you must know how to handle malware safely in an isolated environment.
- Use a Sandbox:
Create a disposable Linux sandbox using Docker docker run --rm -it --network none ubuntu bash
- Analyze Suspicious Files in a VM:
- Use VirtualBox or VMware with snapshots enabled.
- Disable shared folders and networking to prevent infection spread.
2. Basic Reverse Engineering Tools
- Linux Tools:
Install radare2 (Reverse Engineering Framework) sudo apt install radare2 Analyze a binary r2 -d suspicious_file
- Windows Tools:
- Ghidra (NSA’s open-source reverse engineering tool)
- IDA Pro (Commercial disassembler)
- x64dbg (Debugger for Windows binaries)
3. Extracting Strings from Malware
Extract strings from a binary (Linux) strings malware_sample.exe > strings_output.txt Use FLOSS (FireEye Labs Obfuscated String Solver) floss malware_sample.exe
4. Dynamic Analysis with Sysinternals (Windows)
- Process Monitor (
ProcMon
) – Monitor file/registry changes. - Process Explorer – Check running processes and DLLs.
- Wireshark – Capture network traffic from malware.
5. Disassembling with objdump (Linux)
View assembly code of a binary objdump -d malware_sample.exe -M intel
What Undercode Say:
Reverse engineering is a critical skill for cybersecurity professionals, especially in malware analysis and incident response. Mastering tools like Ghidra, radare2, and x64dbg will help you dissect malicious software effectively. Always analyze malware in a controlled environment to avoid accidental infections.
For those interested in binary research, this webinar is a golden opportunity to learn from an industry expert.
Expected Output:
- Malware Analysis Report (Strings, API calls, network activity)
- Disassembled Code (Understanding malicious logic)
- Behavioral Analysis (Registry, file changes, process injections)
🔗 Register for the Webinar: https://lnkd.in/d5t6pPFK
Prediction:
Reverse engineering will become even more crucial as malware evolves with AI-driven obfuscation techniques. Future SOC analysts will need automated reverse engineering tools powered by machine learning to keep up with advanced threats.
References:
Reported By: Tylerewall Dont – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅