OpenTracer: A Dynamic Transaction Trace Analyzer for Smart Contract Invariant Generation and Beyond (ASE 2024 - Tool Demonstrations)

Who

Zhiyang Chen, Ye Liu, Sidi Mohamed Beillahi, Yi Li, Fan Long

Track

ASE 2024 Tool Demonstrations

Time Zone

The program is currently displayed in (GMT-07:00) Pacific Time (US & Canada).

Use conference time zone: (GMT-07:00) Pacific Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Save

When

Tue 29 Oct 2024 17:00 - 17:10 at Gardenia - Smart contract and block chain 1 Chair(s): Nafiz Imtiaz Khan

Abstract

Smart contracts, self-executing programs on the blockchain, facilitate reliable value exchanges without centralized oversight. Despite the recent focus on dynamic analysis of their transaction histories in both industry and academia, no open-source tool currently offers comprehensive tracking of complete transaction information to extract user-desired data such as invariant-related data. This paper introduces OpenTracer, designed to address this gap. OpenTracer guarantees comprehensive tracking of every execution step, providing complete transaction information. OpenTracer has been employed to analyze 350,800 Ethereum transactions, successfully inferring 23 different types of invariant from predefined templates. The tool is fully open-sourced, serving as a valuable resource for developers and researchers aiming to extract or validate new invariants from transaction traces. A demonstration video of OpenTracer is available at https://youtu.be/vTdmjWdYd30. The source code of OpenTracer is available at https://github.com/jeffchen006/OpenTracer.

Link to Preprint

https://arxiv.org/pdf/2407.10039

DOI

https://doi.org/10.1145/3691620.3695361

Zhiyang Chen

University of Toronto

Canada

Ye Liu

Singapore Management University

Sidi Mohamed Beillahi

University of Toronto

Canada

Yi Li

Nanyang Technological University

Singapore

Fan Long

University of Toronto

Canada

Artifact

Time Zone

The program is currently displayed in (GMT-07:00) Pacific Time (US & Canada).

Use conference time zone: (GMT-07:00) Pacific Time (US & Canada)Select other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

Display full programSpecify a time band

Save

Session Program

Tue 29 Oct
Displayed time zone: Pacific Time (US & Canada) change

16:30 - 17:30	Smart contract and block chain 1Journal-first Papers / Research Papers / Tool Demonstrations at Gardenia Chair(s): Nafiz Imtiaz Khan Department of Computer Science, University of California, Davis

16:30 15m Talk		Skyeye: Detecting Imminent Attacks via Analyzing Adversarial Smart Contracts Research Papers Haijun Wang Xi’an Jiaotong University, Yurui Hu Xi'an Jiaotong University, Hao Wu Xi'an JiaoTong University, Dijun Liu Ant Group, Chenyang Peng Xi'an Jiaotong University, Yin Wu Xi'an Jiaotong University, Ming Fan Xi'an Jiaotong University, Ting Liu Xi'an Jiaotong University
16:45 15m Talk		DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts Journal-first Papers Yang Liu Shanghai Maritime University/National University of Singapore, Chao Wang University of Southern California, Yan Ma Nanjing University of Finance and Economics / National University of Singapore
17:00 10m Talk		OpenTracer: A Dynamic Transaction Trace Analyzer for Smart Contract Invariant Generation and Beyond Tool Demonstrations Zhiyang Chen University of Toronto, Ye Liu Singapore Management University, Sidi Mohamed Beillahi University of Toronto, Yi Li Nanyang Technological University, Fan Long University of Toronto DOI Pre-print Media Attached