bitwright

Hash-consed fixed-width bit-vector expressions for Rust: exact evaluation, bit-level facts, and verified simplification.

bitwright is for tools that reason about machine integers: binary analyzers, deobfuscators, decompilers and lifters. It simplifies their expressions with predictable cost and without guessing: a rewrite preserves the value of the expression at every input, or it does not happen.

use bitwright::engine::Engine;
use bitwright::{Context, ParseOptions, Width};

fn main() -> Result<(), bitwright::Error> {
    let engine = Engine::standard();
    let mut cx = Context::new();
    let o = ParseOptions::width(Width::W64);
    for (input, simplified) in [
        // Arithmetic and boolean masking cancel.
        ("(x & y) + (x | y)", "x + y"),
        ("((x ^ 0x5a) + 3 - 3) ^ 0x5a", "x"),
        // Multiplying by an odd constant is a bijection: equal products, equal inputs.
        ("x * 0x87c37b91114253d5 == y * 0x87c37b91114253d5", "x == y"),
        // A comparison through a keyed hash mixer becomes a comparison of its input.
        (
            "let m = (x ^ 0xd3220fb78e33751f) * 0xd3220fb78e33751f; \
             (m ^ ((m >>u 32) >>u (m >>u 60))) * 0xd3220fb78e33751f == 0",
            "x == 0xd3220fb78e33751f",
        ),
    ] {
        let e = cx.parse(input, &o)?;
        let out = engine.simplify(&mut cx, e)?;
        assert_eq!(cx.display(out.expr).to_string(), simplified);
    }
    Ok(())
}

What it gives you

• Exact values of 1 to 512 bits. Every operator has total SMT-LIB QF_BV semantics, division by zero included, checked against an independent bit-serial reference evaluator.
• A hash-consed expression arena with canonicalization at construction, owned by a context. There is no global state, and the same input gives the same output on every run.
• Floating point: IEEE 754 in any format (binary16 to binary256, bfloat16, x87's 80 bits, and any other), under all five rounding modes, exact and total (the canonical NaN, saturating conversions), in software: evaluation, expressions, facts and SMT-LIB, checked against an independent implementation on every input of every format up to 8 bits.
• Bit-level facts: known bits, an unsigned strided interval (the values lo, lo + stride, …, hi) and a signed range, each tightening the others, tri-state proofs, and constraints you assume (a path condition, an invariant), with the ones each result relies on reported back.
• A directed simplifier built from normal-form passes (linear arithmetic, xor forms, truth tables, comparison lattices, casts, demanded bits, linear MBA, bit shuffles) and a small rule corpus. Termination is guaranteed by construction, and every run is bounded by budgets you choose.
• Invertibility: proofs that an expression is an injective or bijective function of a subexpression (keyed mixers, xorshifts, T-functions), used to cancel and solve equalities, so a hash comparison becomes a plain one.
• A rule language (.bwr) for your own rewrites, with a mandatory soundness check (exhaustive at small widths, sampled up to 512 bits) and proof ledgers.
• Verified compiler transformations: peephole optimizations in the Alive syntax and pairs of LLVM IR functions are proved correct (refinement under LLVM's poison, undefined behavior and floating-point semantics, every width left open) or refuted with a small counterexample, and preconditions are inferred; by bitwright's own bit-blaster and SAT solver.
• Optional services: MBA simplification (a native solver for linear, semi-linear and polynomial MBA, pluggable backends, and answers bitwright proves itself), a bounded equality-saturation search, and SMT-LIB export and import, so any SMT solver can prove a rule at any width.

Performance

bitwright 0.11.0 against other tools, each on what it is built for, on one performance core of an Intel Core Ultra 7 265 (Linux, Rust 1.98). Every answer is read into bitwright, sized in DAG nodes of its canonical form (a shared subterm counts once) and checked against its input; no tool gave a wrong answer. compare/ reproduces the tables, and docs/benchmarking.md has bitwright's own costs per operation.

Simplification, against z3 and Bitwuzla. Random DAGs, 200 of each, over the operators SMT-LIB has natively: arithmetic, bitwise operations, shifts, comparisons under ite, truncations extended back, and in one row division, remainder and shifts by variable amounts. Each tool starts from the same SMT-LIB text and is timed in process from it to its answer, parsing included: bitwright's Engine::standard(), z3 5.1.0's simplify and Bitwuzla 0.9.1's simplify_term, with default settings. Nodes after simplification (the 200 summed) and the median time per DAG. The floating-point rows are random DAGs of 40 operations over six float atoms in SMT-LIB's FloatingPoint theory, with only what SMT-LIB specifies (arithmetic, fused multiply-adds, roots, remainders, rounding to integral values, sign operations, format round trips, choices on comparisons and tests); their answers are compared as SMT-LIB values:

bitwright's answer is the smallest of the three for all 800 bit-vector DAGs and for 392 of the 400 floating-point ones. The solvers are built to decide satisfiability, which bitwright does not do, and they simplify toward that, not toward small expressions: z3 splits bitwise operations with constants into slices of bits, and Bitwuzla writes | and − with &, ~ and +, so their answers are almost always larger than the input. On 40 bit-vector nodes bitwright and Bitwuzla take about the same time; on 400, Bitwuzla is 2.3 times faster. On floats bitwright is the fastest.

Identities, against z3 and Bitwuzla. 651 identities in seven sets, written from textbook mathematics and IEEE 754 rather than from any tool's rules (compare/facts/): bit-vector algebra (Boolean algebra, ring arithmetic, two's complement, shifts, rotations, extraction and extension, division, comparisons, if-then-else, known bits), number theory modulo 2^w, the unsigned and signed orders, bit slices, bit tricks, canonical forms and floating point (sign operations, classification, comparisons, arithmetic, rounding, conversions); not mixed boolean-arithmetic ones (those are CoBRA's datasets below). Each runs at 8 and 64 bits (floating point in binary32 and binary64), over plain variables and over compound terms (2,604 cases), from its unsimplified side, and is solved when the answer is no larger than the simpler side. bitwright runs as the library's Engine::standard() and as the command line's simplify (the MBA service and its normal-form solver on top). z3 and Bitwuzla prove every identity at 8 bits, and at 64 bits all but three (quotient times divisor plus remainder, unsigned and signed, and (~x)² − x² = 2x + 1), which neither finishes in ten minutes.

On these small expressions bitwright is also the fastest, with a median of 10 µs per case (12 µs as simplify) against 71 µs for Bitwuzla and 99 µs for z3. versus-smt --facts prints every group and what each tool misses. As simplify, bitwright misses the canonical forms of long sums and products (reassociation, gathering constants), where z3 does better, and a few cases of shifts, division, parity and extension; the library's standard engine alone also misses distributivity, polynomial identities and the lowest-set-bit tricks, which simplify solves. In floating point it leaves the six identities that hold only on values, not on bit patterns (a NaN operand's payload is lost on one side): the rules for them apply only on request (--float-values, Strategy::with_float_values), which these runs do not make.

MBA, against CoBRA. The MBA datasets CoBRA collects: 76,080 expressions (SiMBA, GAMBA, NeuReduce, MBA-Obfuscator, MBA-Solver, QSynth, Loki, OSES and others), 75,737 of them with a ground truth that agrees with the input. An expression is solved when the answer is no larger than the ground truth; time runs from the text to the answer, parsing included.

bitwright proves each of its answers itself; this is the configuration the command line's simplify runs.

Installation

cargo add bitwright

bitwright needs Rust 1.88 or later. Its only required dependency is hashbrown. Optional features:

Documentation

The bitwright book is the guide. Every example in it is compiled and run as a test. It reads fine on GitHub too:

• API reference on docs.rs, for the latest release.
• Design reference: the principles, semantics and contracts, and how each part is validated.
• Changelog.

Command line

The bitwright binary checks, lints and proves rule files, and simplifies expressions:

cargo install --git https://github.com/valeria-org/bitwright bitwright-cli

bitwright check rules.bwr --ledger rules.bwr.proof      # soundness verdicts and the proof ledger
bitwright lint rules.bwr                                # every diagnostic, rendered
bitwright smt rules.bwr | z3 -in                        # prove every rule at 8, 32 and 64 bits (or `| bitwuzla`)
bitwright catalog > RULES.md                            # the built-in rules as Markdown
bitwright explain BW0302                                # what a diagnostic means
bitwright prove opt.txt                                 # verify LLVM peephole transformations (Alive syntax)
bitwright tv before.ll after.ll                         # translation validation of LLVM IR functions
bitwright lift block.vex                                # lifted code (VEX, p-code, LLVM IR), deobfuscated
bitwright lean rules.bwr --at 8 > rules.lean            # the rules as Lean theorems (bv_decide proves them)
bitwright simplify '(x & y) * (x | y) + (x & ~y) * (~x & y)'   # x * y (nonlinear MBA, proved)
bitwright simplify 'x * k == y * k' --assume '(k & 1) == 1'   # x == y, relying on the assumption
bitwright simplify --file exprs.txt --jobs 8            # one expression per line, on 8 threads

C, C++, Python and JavaScript

The same engine, from other languages: a C API (bitwright-ffi: a shared and a static library, and bitwright.h), a header-only C++17 wrapper over it (bitwright.hpp), a Python package (bitwright-py, built with maturin), and a WebAssembly module with a JavaScript wrapper (bitwright-wasm). They build, parse, inspect, evaluate and simplify expressions, with facts, proofs, assumptions, budgets, rules of your own, SMT-LIB, memory, lifted code and the verifier of compiler transformations; the chapter on them is the guide. tools/plugins/ has (untested) scripts for Ghidra, Binary Ninja and IDA.

import bitwright as bw                   # pip install ./bitwright-py

cx = bw.Context()
x, y = cx.symbols("x y", 64)
print(((x & y) + (x | y)).simplify())    # x + y
print(bw.simplify("(x & y) * (x | y) + (x & ~y) * (~x & y)"))   # x * y

Stability

bitwright is 0.x. A minor release may change the API and simplification results, and lists every change of results under Behavior changes in the changelog; a patch release changes results only to fix unsoundness. The minimum supported Rust version is 1.88. See the stability chapter for the full contract.

Development

cargo test --workspace                                                  # every test, book examples included

cargo test --workspace --release -- --ignored --skip write_corpus_ledger    # the long suites (z3 and bitwuzla on PATH for the SMT proofs)

mdbook serve book                                                       # the book at http://localhost:3000

cargo run --release -p bitwright-bench                                  # benchmarks, in instructions retired

pip install ./bitwright-py pytest && pytest bitwright-py/tests          # the Python bindings

Fuzz targets are in fuzz/ (cargo +nightly fuzz run simplify_dag; fp_dag checks floating point against the independent reference), docs/benchmarking.md explains how to compare a change against its baseline, and compare/ compares bitwright with other symbolic engines (egg, CoBRA, Triton, SMT solvers) on public MBA datasets.

License

PolyForm Noncommercial 1.0.0: free for any noncommercial purpose, including personal use, research, education, and use by charitable and public organizations. Commercial use needs a separate license from Emergentesombra Lda. (https://emergentelabs.com/).

Required Notice: Copyright 2026 Emergentesombra Lda., Porto, Portugal, PT 517806843 (https://emergentelabs.com/)