crackers 0.6.4

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crackers: A Tool for Synthesizing Code-Reuse Attacks from p-code Programs

This package contains the Python bindings for crackers, a tool for synthesizing code-reuse attacks (e.g., ROP) built around the Z3 SMT Solver and Ghidra's SLEIGH code translator.

For more details, please refer to the GitHub project.

Usage

The easiest way to use crackers is through the PyPI package. For every release, we provide wheels for [MacOS, Windows, Linux] x [3.11, 3.12, 3.13, 3.14].

A simple usage looks like the following:

import logging

from crackers.crackers import DecisionResult
from crackers.jingle import ModeledBlock, State

logging.basicConfig(level=logging.INFO)

from z3 import BoolRef, BoolVal, simplify

from crackers.config import (
    MetaConfig,
    LibraryConfig,
    SleighConfig,
    ReferenceProgramConfig,
    SynthesisConfig,
    ConstraintConfig,
    CrackersConfig,
)
from crackers.config.constraint import (
    RegisterValuation,
    RegisterStringValuation,
    MemoryValuation,
    PointerRange,
    CustomStateConstraint,
    CustomTransitionConstraint,
    PointerRangeRole,
)
from crackers.config.log_level import LogLevel
from crackers.config.synthesis import SynthesisStrategy


# Custom state constraint example
def my_constraint(s: State, _addr: int) -> BoolRef:
    rdi = s.read_register("RDI")
    rcx = s.read_register("RCX")
    return rdi == (rcx ^ 0x5A5A5A5A5A5A5A5A)


# Custom transition constraint example
def my_transition_constraint(block: ModeledBlock) -> BoolRef:
    # Dummy: always true
    return BoolVal(True)


meta = MetaConfig(log_level=LogLevel.INFO, seed=42)
library = LibraryConfig(
    max_gadget_length=8, path="libz.so.1", sample_size=None, base_address=None
)
sleigh = SleighConfig(ghidra_path="/Applications/ghidra")
reference_program = ReferenceProgramConfig(
    path="sample.o", max_instructions=8, base_address=library.base_address
)
synthesis = SynthesisConfig(
    strategy=SynthesisStrategy.SAT,
    max_candidates_per_slot=200,
    parallel=8,
    combine_instructions=True,
)

constraint = ConstraintConfig(
    precondition=[
        RegisterValuation(name="RDI", value=0xDEADBEEF),
        MemoryValuation(space="ram", address=0x1000, size=4, value=0x41),
        RegisterStringValuation(reg="RSI", value="/bin/sh"),
        CustomStateConstraint.from_callable(my_constraint),
    ],
    postcondition=[
        RegisterValuation(name="RBX", value=0x1337),
    ],
    pointer=[
        PointerRange(role=PointerRangeRole.READ, min=0x80_0000, max=0x80_8000),
        CustomTransitionConstraint.from_callable(my_transition_constraint),
    ],
)
config = CrackersConfig(
    meta=meta,
    library=library,
    sleigh=sleigh,
    specification=reference_program,
    synthesis=synthesis,
    constraint=constraint,
)
r = config.run()
match r:
    case DecisionResult.AssignmentFound(a):
        for g in a.gadgets():
            for i in g.instructions:
                print(i.disassembly)
            print()
        for name, bv in a.input_summary(True):
            print(f"{name} = {simplify(bv)}")

Research Paper

crackers was initially developed in support of our research paper, Synthesis of Code-Reuse Attacks from p-code Programs, presented at Usenix Security 2025.

If you found the paper or the implementation useful, you can cite it with the following BibTeX:

@inproceedings{10.5555/3766078.3766099,
author = {DenHoed, Mark and Melham, Tom},
title = {Synthesis of code-reuse attacks from p-code programs},
year = {2025},
isbn = {978-1-939133-52-6},
publisher = {USENIX Association},
address = {USA},
booktitle = {Proceedings of the 34th USENIX Conference on Security Symposium},
articleno = {21},
numpages = {17},
location = {Seattle, WA, USA},
series = {SEC '25}
}