Fast, parallel, cross-variant ROP/JOP gadget search for x86 (32-bit) and x64 (64-bit) binaries. Uses the iced-x86 disassembler library.
Current state: decent test coverage, but still in beta. Issues/PRs welcome :)
Install the CLI tool and show its help menu:
bash
cargo install xgadget --features cli-bin # Build on host (pre-req: https://www.rust-lang.org/tools/install)
xgadget --help # List available commandline options
xgadget
is a tool for Return-Oriented Programming (ROP) and Jump-Oriented Programming (JOP) exploit development.
It's a fast, multi-threaded alternative to awesome tools like ROPGadget
, Ropper
, and rp
.
Though not yet as mature as some of its contemporaries, it contains unique and experimental functionality.
To the best of our knowledge, xgadget
is the first gadget search tool to have these features:
--reg-ctrl <optional_register_name>
flag--dispatcher
pop rsp; add [rax-0x77], cl; ret ------------------------------------- [ 0xc748d ]
pop rsp; add [rax-0x77], cl; ret; --- [ 'bin_v1.1': 0xc748d, 'bin_v1.2': 0xc9106 ]
Other features include:
Find gadgets:
```rust use xgadget;
let maxgadgetlen = 5;
// Search single binary let searchconfig = xgadget::SearchConfig::DEFAULT; let bin1 = xgadget::Binary::frompathstr("/path/to/binv1").unwrap(); let bins = vec![bin1]; let gadgets = xgadget::findgadgets(&bins, maxgadgetlen, searchconfig).unwrap(); let stackpivotgadgets = xgadget::filterstackpivot(&gadgets);
// Search for cross-variant gadgets, including partial matches let searchconfig = xgadget::SearchConfig::DEFAULT | xgadget::SearchConfig::PART; let bin1 = xgadget::Binary::frompathstr("/path/to/binv1").unwrap(); let bin2 = xgadget::Binary::frompathstr("/path/to/binv2").unwrap(); let bins = vec![bin1, bin2]; let crossgadgets = xgadget::findgadgets(&bins, maxgadgetlen, searchconfig).unwrap(); let crossregpopgadgets = xgadget::filterregpoponly(&cross_gadgets); ```
Custom filters can be created using the GadgetAnalysis
object and/or functions from the semantics
module.
How the above filter_stack_pivot
function is implemented:
```rust use rayon::prelude::*; use iced_x86; use xgadget::{Gadget, GadgetAnalysis};
/// Parallel filter to gadgets that write the stack pointer
pub fn filterstackpivot<'a>(gadgets: &[Gadget<'a>]) -> Vec
Run xgadget --help
:
``` xgadget v0.6.0
About: Fast, parallel, cross-variant ROP/JOP gadget search for x86/x64 binaries. Cores: 8 logical, 8 physical
USAGE:
xgadget [OPTIONS] ARGS:
OPTIONS:
-a, --arch Build a dynamically-linked binary from source and install it locally: Commits to this repo's Unfortunately the statically-linked binary is several times slower on an i7-9700K, likely due to the built-in memory allocator for target Tools that attempt to automate ROP/JOP chain generation require heavyweight analysis - typically symbolic execution of an intermediate representation.
While this works well for small binaries and CTF problems, but tends to be error-prone and difficult to scale for large, real-world programs.
At present, On an i7-9700K (8C/8T, 3.6GHz base, 4.9 GHz max) machine with This project started as an optimized solution to Chapter 8, exercise 3 of "Practical Binary Analysis" by Dennis Andreisse [6], and builds on the design outlined therein. Licensed under the MIT license.
Contributions are welcome!CLI Build and Install (Recommended)
bash
cargo install xgadget --features cli-bin # Build on host (pre-req: https://www.rust-lang.org/tools/install)
CLI Binary Releases for Linux
master
branch automatically run integration tests and build a statically-linked binary for 64-bit Linux.
You can download it here to try out the CLI immediately, instead of building from source.
Static binaries for Windows may also be supported in the future.x86_64-unknown-linux-musl
.
So building a dynamically-linked binary from source with the above cargo install
command is highly recommended for performance (links against your system's allocator).Why No Chain Generation?
xgadget
has a different goal: enable an expert user to manually craft stable exploits by providing fast, accurate gadget discovery.~~Yeah, but can it do 10 OS kernels under 10 seconds?!~~ Repeatable Benchmark Harness
bash
bash ./benches/bench_setup_ubuntu.sh # Ubuntu-specific, download/build 10 kernel versions
cargo bench # Grab a coffee, this'll take a while...
bench_setup_ubuntu.sh
downloads and builds 10 consecutive Linux kernels (versions 5.0.1
to 5.0.10
- with x86_64_defconfig
).cargo bench
, among other benchmarks, searches all 10 kernels for common gadgets.gcc
version 8.4.0: the average runtime, to process all ten 54MB kernels simultaneously with a max gadget length of 5 instructions and full-match search for all gadget types (ROP, JOP, and syscall gadgets), is only 6.3 seconds! Including partial matches as well takes just 7.9 seconds.Acknowledgements
License and Contributing
References