When most people hear "Python malware," they think of a simple script bundled with an interpreter—something easily decompiled and analyzed. But today, we’re looking at a sample that’s built differently.
This isn't just a script; it's a Python Stealer compiled with Nuitka. Let's dive into unpacking malware!
In this deep-dive, we peel back the layers of a "Russian Nesting Doll" of obfuscation. We transition from a deceptive .exe wrapper to the core Native C++ DLL that holds the actual malware brain.
By the end of this video, you'll know how to identify these telltale signs, extract hidden resources, and perform the "hex surgery" required to get to the real logic.
🔍 What You'll Learn:
• The Nuitka Factor: How malware authors translate Python into C to evade standard decompilers.
• Ghidra Deep-Dive: Identifying the entry point, stack cookies, and the specific functions (FindResourceA, CreateProcessW) that give away the loader's intent.
• Resource Carving: Using CFF Explorer to locate the RCData folder and extract the compressed payload.
• Custom Decompression: Running a Python-based unpacker to turn an obfuscated blob into a readable file.
• Hex Surgery: Using HxD to find the "MZ" magic header and manually clean the executable for analysis.
• Final Analysis: Loading the extracted Main DLL back into Ghidra to reveal the hidden malware logic.
⚙️ Tools Used:
• Ghidra: For reverse engineering and static analysis.
• CFF Explorer: For inspecting PE resources and headers.
• HxD (Hex Editor): For manual file carving and magic byte verification.
• FlareVM: Our isolated malware analysis lab environment.
• Custom Python Unpacker: To handle the Nuitka-specific compression.
📑 Chapter Timestamps:
00:00 Introduction to Python Malware
00:24 A Unique Python Stealer
00:35 Understanding the Obfuscation
00:58 Initial Setup and Tools
02:02 Diving into Gira Analysis
04:01 Analyzing Functions and Exports
06:25 Resource Extraction Process
08:41 Decompressing the Payload
11:59 Hex Editing the Extracted Payload
13:32 Finalizing the DLL Extraction
15:14 Conclusion and Next Steps
⚠️ Disclaimer:
This video is strictly for educational purposes and cybersecurity research. All demonstrations are performed in a controlled, isolated lab environment. Do not attempt to use these techniques on systems you do not own.
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Link to Sample: https://bazaar.abuse.ch/sample/ec343d...
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