| 論文名稱 | (State of) The Art of War: Offensive Techniques in Binary Analysis |
| 簡報日期 | 2017/8/8 |
| 報告者 | 簡君和 |
| 論文網址 | http://ieeexplore.ieee.org/document/7546500/ |
| 簡報檔案 | |
| 引用 | @INPROCEEDINGS{7546500, author={Y. Shoshitaishvili and R. Wang and C. Salls and N. Stephens and M. Polino and A. Dutcher and J. Grosen and S. Feng and C. Hauser and C. Kruegel and G. Vigna}, booktitle={2016 IEEE Symposium on Security and Privacy (SP)}, title={SOK: (State of) The Art of War: Offensive Techniques in Binary Analysis}, year={2016}, pages={138-157}, keywords={program diagnostics;security of data;DARPA;binary code;binary vulnerability analysis technique;data structure;Binary codes;Computer bugs;Engines;Operating systems;Security;Semantics;attacks and defenses;security architectures;system security}, doi={10.1109/SP.2016.17}, month={May},} |
| 摘要 | Finding and exploiting vulnerabilities in binary code is a challenging task. The lack of high-level, semantically rich information about data structures and control constructs makes the analysis of program properties harder to scale. However, the importance of binary analysis is on the rise. In many situations binary analysis is the only possible way to prove (or disprove) properties about the code that is actually executed. In this paper, we present a binary analysis framework that implements a number of analysis techniques that have been proposed in the past. We present a systematized implementation of these techniques, which allows other researchers to compose them and develop new approaches. In addition, the implementation of these techniques in a unifying framework allows for the direct comparison of these apporaches and the identification of their advantages and disadvantages. The evaluation included in this paper is performed using a recent dataset created by DARPA for evaluating the effectiveness of binary vulnerability analysis techniques. Our framework has been open-sourced and is available to the security community. |
