ASE 2024
Sun 27 October - Fri 1 November 2024 Sacramento, California, United States

This program is tentative and subject to change.

Tue 29 Oct 2024 16:54 - 17:06 at Camellia - Fuzzing 1

Over the last few years, smart-contract hacks have resulted in the loss of billions of assets. To efficiently identify such vulnerabilities, academic and industrial researchers have developed several popular smart-contract fuzzers. However, it has been challenging to objectively compare their bug-finding effectiveness. In this paper, we present Olympia, the first benchmark-generation tool that is designed for smart-contract, rather than general-purpose, fuzzers. We have used Olympia to evaluate the effectiveness of four well known, open-source fuzzers for Solidity smart contracts.

Screencast: https://www.youtube.com/watch?v=DdADa2vcicA

Implementation: https://github.com/Rigorous-Software-Engineering/olympia

This program is tentative and subject to change.

Tue 29 Oct

Displayed time zone: Pacific Time (US & Canada) change

16:30 - 17:30
16:30
12m
Talk
Magneto: A Step-Wise Approach to Exploit Vulnerabilities in Dependent Libraries via LLM-Empowered Directed Fuzzing
Research Papers
Zhuotong Zhou Fudan University, China, Yongzhuo Yang Fudan University, Susheng Wu Fudan University, Yiheng Huang Fudan University, Bihuan Chen Fudan University, Xin Peng Fudan University
16:42
12m
Talk
Applying Fuzz Driver Generation to Native C/C++ Libraries of OEM Android Framework: Obstacles and Solutions
Industry Showcase
Shiyan Peng Fudan University, Yuan Zhang Fudan University, Jiarun Dai Fudan University, Yue Gu Fudan University, Zhuoxiang Shen Fudan University, Jingcheng Liu Fudan University, Lin Wang Fudan University, Yong Chen OPPO, Yu Qin OPPO, Lei Ai OPPO, Xianfeng Lu OPPO, Min Yang Fudan University
16:54
12m
Talk
Olympia: Fuzzer Benchmarking for Solidity
Tool Demonstrations
Jana Chadt TU Wien, Austria, Christoph Hochrainer TU Wien, Valentin Wüstholz ConsenSys, Maria Christakis TU Wien
17:06
12m
Talk
BUGOSS: A Benchmark of Real-world Regression Bugs for Empirical Investigation of Regression Fuzzing Techniques
Journal-first Papers
Jeewoong Kim Chungbuk National University, Shin Hong Chungbuk National University
17:18
12m
Talk
Learning Failure-Inducing Models for Testing Software-Defined Networks
Journal-first Papers
Raphaël Ollando University of Luxembourg, Seung Yeob Shin University of Luxembourg, Lionel Briand University of Ottawa, Canada; Lero centre, University of Limerick, Ireland