reverse-engineering

To statically analyze MBA obfuscation in ELF binaries, the Skill identifies and linearizes mixed boolean arithmetic transformations to reconstruct the original program flow. It maps obfuscated patterns into pseudo-C-like logic for validation.

Recovering algorithms from custom VMs in PE binaries involves identifying dispatcher loops in interpreters and mapping opcodes to equivalent Python lambdas. This enables static reasoning and reconstruction of the underlying hidden logic.

Yes, you can detect and bypass anti-debug tricks during binary analysis. The Skill recognizes anti-analysis techniques applied to Mach-O, ELF, and PE binaries to linearize and reconstruct the original program flow.

Yes, this approach works for deobfuscating callfuscation in malware analysis. It recognizes and linearizes callfuscation patterns, allowing you to reconstruct the original program flow and recover the underlying hidden logic statically.

To map dispatcher loops for VM disassembly, identify the interpreter loop, extract the opcodes, and map them to equivalent Python lambdas. This creates a reversible model to invert obfuscated transformations and recover underlying logic.

Static reconstruction of obfuscated binaries supports ELF, PE, and Mach-O formats. The Skill performs pattern recognition and pseudo-C-like logic reconstruction across these formats to validate obfuscation tricks.