Maat is an open-source Dynamic Symbolic Execution and Binary Analysis framework. It provides various functionalities such as symbolic execution, taint analysis, constraint solving, binary loading, environment simulation, and leverages Ghidra's sleigh library for assembly lifting: https://maat.re

Key features:

Fast & Portable: Designed to scale to real-world applications. Fully written in C++ for good runtime performance. There are hardly any runtime dependencies, and most of them are optional
User-friendly: Maat has a flexible debugger-like API, and its features are configurable to adapt to many different use-cases. As any self-respecting modern framework, it comes with Python bindings
Multi-arch: With lifting and emulation based on Ghidra's awesome sleigh library, Maat has the potential to emulate many architectures, including exotic ones

Installation

To install Maat's python module:

python3 -m pip install pymaat

To install Maat's native SDK and use the C++ API, check out BUILDING.md

Example

from maat import *# Create a symbolic engine for Linux X86-32bitsengine = MaatEngine(ARCH.X86, OS.LINUX)# Load a binary with one command line argumentengine.load("./some_binary", BIN.ELF32, args=[engine.vars.new_symbolic_buffer("some_arg", 20)])# Get current eax valueengine.cpu.eax# Read 4 bytes at the top of the stackengine.mem.read(engine.cpu.esp, 4)# Set a callback displaying every memory readdef show_mem_access(engine):    mem_access = engine.info.mem_access    print(f"Instruction at {engine.info.addr} reads {mem_access.size} bytes at {mem_access.addr}")engine.hooks.add(EVENT.MEM_R, WHEN.BEFORE, callbacks=[show_mem_access])# Take and restore snapshotssnap = engine.take_snapshot()engine.restore_snapshot(snap)# Run the binaryengine.run()