This documentation explains how to compile, install & run Unicorn on MacOSX, Linux, BSD, Solaris, Android & iOS. To compile for Microsoft Windows, see [COMPILE-WINDOWS.md](COMPILE-WINDOWS.md) ---- [0] Dependencies Unicorn requires few dependent packages as follows. - For Mac OS X, "pkg-config" and "glib" are needed. Brew users can install "pkg-config" and "glib" with: $ brew install pkg-config glib - For Linux, "glib2-dev" is needed. Ubuntu/Debian users can install this with: $ sudo apt-get install libglib2.0-dev [1] Tailor Unicorn to your need. Out of 6 archtitectures supported by Unicorn (Arm, Arm64, M68K, Mips, Sparc, & X86), if you just need several selected archs, choose which ones you want to compile in by editing "config.mk" before going to next steps. By default, all 6 architectures are compiled. The other way of customize Unicorn without having to edit config.mk is to pass the desired options on the commandline to ./make.sh. Currently, Unicorn supports 4 options, as follows. - UNICORN_ARCHS: specify list of architectures to compiled in. - UNICORN_STATIC: build static library. - UNICORN_SHARED: build dynamic (shared) library. - UNICORN_QEMU_FLAGS: specify extra flags for qemu's configure script To avoid editing config.mk for these customization, we can pass their values to make.sh, as follows. $ UNICORN_ARCHS="arm aarch64 x86" ./make.sh NOTE: on commandline, put these values in front of ./make.sh, not after it. For each option, refer to docs/README for more details. [2] Compile and install from source on *nix To build Unicorn on *nix (such as MacOSX, Linux, *BSD, Solaris): - To compile for current platform, run: $ ./make.sh - Unicorn requires Python 2.x to compile. If Python 2.x is not the default Python interpreter, ensure that the appropriate option is set: $ UNICORN_QEMU_FLAGS="--python=/path/to/python2" ./make.sh - To cross-compile Unicorn on 64-bit OS to target 32-bit binary, run: $ ./make.sh nix32 After compiling, install Unicorn with: $ sudo ./make.sh install For FreeBSD/OpenBSD, where sudo is unavailable, run: $ su; ./make.sh install Users are then required to enter root password to copy Unicorn into machine system directories. Afterwards, run ./samples/sample_all.sh to test the sample emulations. NOTE: The core framework installed by "./make.sh install" consist of following files: /usr/include/unicorn/unicorn.h /usr/include/unicorn/x86.h /usr/include/unicorn/arm.h /usr/include/unicorn/arm64.h /usr/include/unicorn/mips.h /usr/include/unicorn/ppc.h /usr/include/unicorn/sparc.h /usr/include/unicorn/m68k.h /usr/lib/libunicorn.so (for Linux/*nix), or /usr/lib/libunicorn.dylib (OSX) /usr/lib/libunicorn.a [3] Cross-compile for iOS from Mac OSX. To cross-compile for iOS (iPhone/iPad/iPod), Mac OSX with XCode installed is required. - To cross-compile for ArmV7 (iPod 4, iPad 1/2/3, iPhone4, iPhone4S), run: $ ./make.sh ios_armv7 - To cross-compile for ArmV7s (iPad 4, iPhone 5C, iPad mini), run: $ ./make.sh ios_armv7s - To cross-compile for Arm64 (iPhone 5S, iPad mini Retina, iPad Air), run: $ ./make.sh ios_arm64 - To cross-compile for all iDevices (armv7 + armv7s + arm64), run: $ ./make.sh ios Resulted files libunicorn.dylib, libunicorn.a & tests/test* can then be used on iOS devices. [4] Cross-compile for Android To cross-compile for Android (smartphone/tablet), Android NDK is required. NOTE: Only ARM and ARM64 are currently supported. $ NDK=/android/android-ndk-r10e ./make.sh cross-android arm or $ NDK=/android/android-ndk-r10e ./make.sh cross-android arm64 Resulted files libunicorn.so, libunicorn.a & tests/test* can then be used on Android devices. [5] By default, "cc" (default C compiler on the system) is used as compiler. - To use "clang" compiler instead, run the command below: $ ./make.sh clang - To use "gcc" compiler instead, run: $ ./make.sh gcc [6] To uninstall Unicorn, run the command below: $ sudo ./make.sh uninstall [7] Language bindings Look for the bindings under directory bindings/, and refer to README file of corresponding languages. [8] Unit tests Automated unit tests use the cmocka unit testing framework (https://cmocka.org/). It can be installed in most Linux distros using the package manager, e.g. `sudo yum install libcmocka libcmocka-devel`, or you can easily build and install it from source. You can run the tests by running `make test` in the project directory.