Triton is a dynamic binary analysis framework based on PIN, providing a powerful constraint solver for symbolic execution.
You can install Triton using pip:
pip install triton-framework
Triton provides a range of functionality for binary analysis, including:
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Symbolic Execution:
triton.execute(instruction): Execute an instruction symbolically.triton.getSymbolicRegister(register): Get the symbolic value of a register.triton.getSymbolicMemory(address): Get the symbolic value of a memory location.
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Constraint Solving:
triton.buildConstraints(): Build a set of constraints based on the current symbolic state.triton.getModel(constraint): Find a model (assignment of values) that satisfies a constraint.
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Taint Analysis:
triton.taintRegister(register): Taint a register.triton.taintMemory(address): Taint a memory location.triton.isTainted(operand): Check if an operand is tainted.
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Instruction Semantics:
triton.getInstruction(address): Get the instruction at a given address.triton.getRegisterValue(register): Get the concrete value of a register.triton.setConcreteRegisterValue(register, value): Set the concrete value of a register.
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Miscellaneous:
triton.processing(instruction): Process an instruction (execute, taint, etc.).triton.setArchitecture(architecture): Set the target architecture.triton.setConcreteMemoryValue(address, value): Set the concrete value of a memory location.
For more detailed information and usage examples, please refer to the Triton documentation: https://triton.quarkslab.com/documentation/