syzkaller/docs/research.md

Research work based on syzkaller

newer first

• HFL: Hybrid Fuzzing on the Linux Kernel
• Agamotto: Accelerating Kernel Driver Fuzzing with Lightweight Virtual Machine Checkpoints (source code)
• Task selection and seed selection for Syzkaller using reinforcement learning (announce only)
• Empirical Notes on the Interaction Between Continuous Kernel Fuzzing and Development
• FastSyzkaller: Improving Fuzz Efficiency for Linux Kernel Fuzzing
• Charm: Facilitating Dynamic Analysis of Device Drivers of Mobile Systems (video, slides)
• ALEXKIDD-FUZZER: Kernel Fuzzing Guided by Symbolic Information
• DIFUZE: Interface Aware Fuzzing for Kernel Drivers
• MoonShine: Optimizing OS Fuzzer Seed Selection with Trace Distillation
• RAZZER: Finding Kernel Race Bugs through Fuzzing
• SemFuzz: Semantics-based Automatic Generation of Proof-of-Concept Exploits
• Towards Automating Exploit Generation for Arbitrary Types of Kernel Vulnerabilities
• KOOBE: Towards Facilitating Exploit Generation of Kernel Out-Of-Bounds Write Vulnerabilities
• Synthesis of Linux Kernel Fuzzing Tools Based on Syscall
• Drill the Apple Core: Up & Down
• WSL Reloaded

Other kernel fuzzing work

• KRACE: Data Race Fuzzing for Kernel File Systems
• trinity
• kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels (bridges AFL and Intel PT)
• kernel-fuzzing (bridges AFL and KCOV)
• A gentle introduction to Linux Kernel fuzzing (bridges AFL and KCOV)
• IMF: Inferred Model-based Fuzzer

Also see tech talks page.