ATOM: a system for building customized program analysis tools
PLDI '94 Proceedings of the ACM SIGPLAN 1994 conference on Programming language design and implementation
EEL: machine-independent executable editing
PLDI '95 Proceedings of the ACM SIGPLAN 1995 conference on Programming language design and implementation
Decompilation of binary programs
Software—Practice & Experience
Extracting safe and precise control flow from binaries
RTCSA '00 Proceedings of the Seventh International Conference on Real-Time Systems and Applications
Disassembly of Executable Code Revisited
WCRE '02 Proceedings of the Ninth Working Conference on Reverse Engineering (WCRE'02)
Using a Decompiler for Real-World Source Recovery
WCRE '04 Proceedings of the 11th Working Conference on Reverse Engineering
Pin: building customized program analysis tools with dynamic instrumentation
Proceedings of the 2005 ACM SIGPLAN conference on Programming language design and implementation
An API for Runtime Code Patching
International Journal of High Performance Computing Applications
Practical analysis of stripped binary code
ACM SIGARCH Computer Architecture News - Special issue on the 2005 workshop on binary instrumentation and application
ACM SIGARCH Computer Architecture News
Static disassembly of obfuscated binaries
SSYM'04 Proceedings of the 13th conference on USENIX Security Symposium - Volume 13
Dynamic Binary Instrumentation-Based Framework for Malware Defense
DIMVA '08 Proceedings of the 5th international conference on Detection of Intrusions and Malware, and Vulnerability Assessment
Learning to analyze binary computer code
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Profile-driven selective program loading
EuroPar'10 Proceedings of the 16th international Euro-Par conference on Parallel processing: Part I
Detecting self-mutating malware using control-flow graph matching
DIMVA'06 Proceedings of the Third international conference on Detection of Intrusions and Malware & Vulnerability Assessment
| Hi-index | 0.00 |
Parsing machine code is the first step for most analyses performed on binary files. These analyses build control flow graphs (CFGs). In this work we propose a compilation mechanism that augments binary files with information about where each basic block is located and how they are connected to each other. This information makes it unnecessary to analyze most instructions in a binary during the initial CFG build process. As a result, these binary analysis tools experience dramatically increased parsing speeds - 3.8x on average.