Last Updated: SUN 02 JUN 2024, 0800 EDT
The XNU Image Fuzzer Source Code contains a proof of concept implementation of an image fuzzer designed for XNU environments. It aims to demonstrate basic fuzzing techniques on image data to uncover potential vulnerabilities in image processing routines. The Objective-C Code implements 12 CGCreateBitmap & CGColorSpace Functions working with Raw Data and String Injection that are User Controllable Inputs.
Build OS & Device Info | Build | Install |
---|---|---|
macOS 14.5 X86_64 | ✅ | ✅ |
macOS 14.5 arm | ✅ | ✅ |
iPadOS 17.5 | ✅ | ✅ |
iPhoneOS 17.5 | ✅ | ✅ |
VisionPro 1.2 | ✅ | ✅ |
See URL https://github.com/xsscx/macos-research/tree/main/code/iOSOnMac
URL https://xss.cx/public/docs/xnuimagefuzzer/
xnuimagefuzzer % rm -rf CMakeCache.txt CMakeFiles CMakeScripts cmake_install.cmake build
xnuimagefuzzer % mkdir xcode_build
xnuimagefuzzer % cd xcode_build
xnuimagefuzzer/xcode_build % cmake -G Xcode ../XNU\ Image\ Fuzzer/CMakeLists.txt
-- The C compiler identification is AppleClang 15.0.0.15000309
-- The OBJC compiler identification is AppleClang 15.0.0.15000309
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/clang - skipped
-- Detecting C compile features
-- Detecting C compile features - done
-- Detecting OBJC compiler ABI info
-- Detecting OBJC compiler ABI info - done
-- Check for working OBJC compiler: /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/clang - skipped
-- Configuring done (8.8s)
-- Generating done (0.0s)
-- Build files have been written to: /Users/xss/Developer/xnuimagefuzzer/xcode_build
xcode_build % open xnuimagefuzzer.xcodeproj/
Embedding fault mechanisms into a generic image and further processing it through fuzzing enhances the effectiveness of testing by uncovering edge cases and potential vulnerabilities in image processing software.
Using fuzzed images enhances fuzzing effectiveness by uncovering edge cases, testing robustness, finding security vulnerabilities, and ensuring compatibility with various formats. This approach provides comprehensive evaluation and helps create more resilient software.