We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

Go Speed Tracer

Formal Metadata

Title
Go Speed Tracer
Title of Series
Part Number
6
Number of Parts
20
Author
License
CC Attribution 4.0 International:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date2016
LanguageEnglish

Content Metadata

Subject Area
Genre
Abstract
The past few years have seen a leap in fuzzing technology. The original paradigm established a decade ago resulted in two widely deployed approaches to fuzzing: sample based mutation and model based generation. Thanks to ever-increasing computational performance and better engineering, newer guided fuzzing approaches have proven to be supremely effective with a low cost of deployment. This talk will explore a few different approaches to guided fuzzing through dynamic analysis including code coverage analysis, constraint solving, and sampling/profiling based feedback mechanisms. Novel contributions in this talk include: - Opensource Windows Driver enabling Intel “Processor Trace” - DBI based tracing engine for Windows/Linux/OSX binaries - American Fuzzy Lop with full support for Windows binary targets