discovered 10 Aug 2026
sba
→ View on GitHubSBA (Scalable Binary Analysis Framework) is a comprehensive binary analysis tool designed to perform high-fidelity static analysis on ELF, PE, and Mach-O executable formats through a robust, architecture-agnostic disassembler. Its notable features include a ControlFlowGraphAPI for diverse graph construction, an efficient AnalysisAPI incorporating forward and backward dataflow analysis, and a pre-disassembly method that processes raw binary data efficiently, allowing for scalable analysis without the limitations of traditional disassembly. The framework's applications encompass advanced jump table analysis and function property checks, enhancing the robustness and accuracy of binary analysis tasks.