What tools does this binary analysis skill support?

This skill covers industry-standard tools including Ghidra, IDA Pro, Radare2, GDB (with GEF/PEDA extensions), strace, and Frida.

Does this require access to the original source code?

No, this skill is specifically designed for 'black box' analysis where only the compiled executable (binary) is available to the researcher.

Is this skill helpful for CTF security challenges?

Absolutely; it includes techniques for bypassing license checks, identifying vulnerability patterns, and developing exploits commonly used in security competitions.

Which processor architectures are covered?

While many examples focus on x86-64, the methodologies and tools mentioned (like Ghidra and Radare2) are applicable to ARM, MIPS, and other common architectures.

Can I use this skill for malware analysis?

Yes, the skill provides specific workflows for analyzing program behavior and identifying malicious functionality in closed-source binaries safely.

Binary Analysis & Reverse Engineering

Name: Binary Analysis & Reverse Engineering
Author: macaugh

bymacaugh

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Security & Testing

Provides a systematic framework for analyzing compiled binaries, understanding program behavior, and identifying security vulnerabilities without source code access.

About

The Binary Analysis & Reverse Engineering skill equips developers and security researchers with a structured methodology for examining closed-source software, malware, and proprietary protocols. By combining static analysis techniques like disassembly and decompilation with dynamic methods such as debugging and system call tracing, it enables users to map program logic, identify critical vulnerabilities like memory corruption, and extract actionable intelligence from compiled executables across various architectures.

Key Features

Techniques for bypassing anti-analysis and code obfuscation measures
Runtime instrumentation and function hooking strategies using Frida
Structured static analysis workflows using Ghidra, IDA Pro, and Radare2
3 GitHub stars
Comprehensive vulnerability identification patterns for binary-level flaws
Advanced dynamic debugging with GDB, GEF, and PEDA extensions

Use Cases

Performing malware analysis to understand malicious intent and extract C2 protocols
Analyzing closed-source or legacy software for zero-day security vulnerabilities
Reverse engineering proprietary file formats or network protocols for research and interoperability

About

Key Features

Techniques for bypassing anti-analysis and code obfuscation measures
Runtime instrumentation and function hooking strategies using Frida
Structured static analysis workflows using Ghidra, IDA Pro, and Radare2
3 GitHub stars
Comprehensive vulnerability identification patterns for binary-level flaws
Advanced dynamic debugging with GDB, GEF, and PEDA extensions

Use Cases

Performing malware analysis to understand malicious intent and extract C2 protocols
Analyzing closed-source or legacy software for zero-day security vulnerabilities
Reverse engineering proprietary file formats or network protocols for research and interoperability