Title
StochFuzz: Sound and Cost-effective Fuzzing of Stripped Binaries by Incremental and Stochastic Rewriting
Abstract
Fuzzing stripped binaries poses many hard challenges as fuzzers require instrumenting binaries to collect runtime feedback for guiding input mutation. However, due to the lack of symbol information, correct instrumentation is difficult on stripped binaries. Existing techniques either rely on hardware and expensive dynamic binary translation engines such as QEMU, or make impractical assumptions suc...
Year
DOI
Venue
2021
10.1109/SP40001.2021.00109
2021 IEEE Symposium on Security and Privacy (SP)
Keywords
DocType
ISBN
Binary-Rewriting,Fuzz
Conference
978-1-7281-8934-5
Citations 
PageRank 
References 
2
0.36
0
Authors
6
Name
Order
Citations
PageRank
Zhuo Zhang142.43
Wei You2143.63
Guanhong Tao3315.06
Yousra Aafer426413.36
Xuwei Liu520.69
Xiangyu Zhang62857151.00