~/talk

Hourglass Fuzz: A Quick Bug Hunting Method

Talkat HITBSecConf 2019 Amsterdam · 2019-05-06..05-10· [security, testing]
name:M. Li
links:none on file
name:T. Han
links:none on file
name:L. Jiang
links:none on file
name:L. Wu
links:none on file
slides:none on file

Hourglass Fuzz is a system that funnels normal user activity through an hourglass bottleneck to force inputs into deep kernel and user-mode paths. It runs on real devices (tested on Pixel 3 Android 9), deploys a user-space agent, a controller/monitor, kernel interceptors, ADB logging, and KASAN to collect crashes and tombstones. The pipeline produces reproducible crashes: several 0day bugs in graphics and Bluetooth are found and replayed, and an automated reproducer saves the exact input streams.

AI-written summary · about

  1. 0:00Intro
  2. 2:34Pain point
  3. 5:32Hourglass Fuzzing Philosophy
  4. 9:00User Space Fuzzing
  5. 9:42Attack Interface --- selection
  6. 11:14Bluetooth - Architecture in brief
  7. 11:46Bluetooth -- Module View
  8. 12:48Bluetooth -- Source Tree
  9. 14:03Bluetooth -- Architecture in detail
  10. 15:55Bluetooth -- Startup work flow
  11. 20:14Bluetooth ----Packet Structure & Common Dispatcher
  12. 27:32Bluetooth --- Target functions
  13. 27:50Sanitizer Support
  14. 28:45Fuzzer Overview
  15. 29:47Fuzzing Strategy
  16. 33:49Best Practice
  17. 35:48Kernel Space Fuzzing
  18. 36:09Introduction
  19. 36:51How to achieve passive fuzz
  20. 38:16How to transfer the filter list
  21. 39:31Fuzzing strategies
  22. 40:40What do we need to prepare
  23. 41:58Build kernel issues
  24. 46:49KGSL in detail
  25. 50:04Solution Overview
  26. 52:22Panic call stack
  27. 52:39How to make it automatic
  28. 52:55Fuzz status statistics
  29. 54:21Install and run different kinds of 3D games
  30. 55:32add a for loop
  31. 56:40Case 1
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