ELF Binary Data Extraction

About

Streamlines the process of working with Executable and Linkable Format (ELF) files by providing systematic guidance on binary parsing and data extraction. This skill assists in validating ELF headers, navigating program segments, and accurately mapping virtual addresses to file offsets across both 32-bit and 64-bit architectures. It specifically addresses critical pitfalls such as signedness mismatches and endianness errors, ensuring binary data is correctly transformed into structured formats for tasks in reverse engineering, security analysis, and memory forensics.

Key Features

• Systematic parsing of program headers to identify and process LOAD segments
• Verification strategies using standard industry tools like readelf, objdump, and xxd
• Mapping of virtual addresses to physical file offsets for precise data extraction
• 16 GitHub stars
• ELF header validation including magic bytes, class, and endianness detection
• Comprehensive guidance on handling multi-byte integer sizes and signed vs. unsigned data

Use Cases

• Reverse engineering compiled binaries to extract embedded resources or metadata
• Analyzing memory dumps to map virtual memory back to original file segments
• Converting raw binary content into structured JSON for automated security tools