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MSR 2022
Mon 23 - Tue 24 May 2022
co-located with ICSE 2022
Thu 19 May 2022 05:04 - 05:11 at MSR Main room - odd hours - Session 10: Security Chair(s): Triet Le Huynh Minh

Third-party libraries (TPLs) are reused frequently in software applications for reducing development cost. However, they could introduce security risks as well. Many TPL detection methods have been proposed to detect TPL reuse in Android bytecode or in source code. This paper focuses on detecting TPL reuse in binary code, which is a more challenging task. For a detection target in binary form, libraries may be compiled and linked to separate dynamic-link files or built into a fused binary that contains multiple libraries and project-specific code. This could result in fewer available code features and lower the effectiveness of feature engineering. In this paper, we propose a binary TPL reuse detection framework, LibDB, which can effectively and efficiently detect imported TPLs even in stripped and fused binaries. In addition to the basic and coarse-grained features(string literals and exported function names), LibDB utilizes function contents as a new type of feature. It embeds all functions in a binary file to low-dimensional representations with a trained neural network. It further adopts a function call graph-based comparison method to improve the accuracy of the detection. LibDB is able to support version identification of TPLs contained in the detection target, which is not considered by existing detection methods. To evaluate the performance of LibDB, we construct three datasets for binary-based TPL reuse detection. Our experimental results show that LibDB is more accurate and efficient than state-of-the-art tools on the binary TPL detection task and the version identification task. Our datasets and source code used in this work are anonymously available at https://anonymous.4open.science/r/LibDB.

Thu 19 May

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

05:00 - 05:50
05:00
4m
Short-paper
WeakSATD: detecting weak self-admitted technical debt
Technical Papers
Barbara Russo Free University of Bolzano, Matteo Camilli Free University of Bozen-Bolzano, Mock Moritz Free University of Bolzano
DOI Pre-print Media Attached
05:04
7m
Talk
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries
Technical Papers
Wei Tang Tsinghua University, Yanlin Wang Microsoft Research, Hongyu Zhang University of Newcastle, Shi Han Microsoft Research, Ping Luo Tsinghua University, Dongmei Zhang Microsoft Research
Pre-print
05:11
7m
Talk
Noisy Label Learning for Security Defects
Technical Papers
Roland Croft The University of Adelaide, Muhammad Ali Babar University of Adelaide, Huaming Chen The University of Adelaide
05:18
4m
Talk
Vul4J: A Dataset of Reproducible Java Vulnerabilities Geared Towards the Study of Program Repair TechniquesData and Tool Showcase Award
Data and Tool Showcase Track
Quang-Cuong Bui Hamburg University of Technology, Riccardo Scandariato Hamburg University of Technology, Nicolás E. Díaz Ferreyra Hamburg University of Technology
Pre-print Media Attached
05:22
4m
Talk
AndroOBFS: Time-tagged Obfuscated Android Malware Dataset with Family Information
Data and Tool Showcase Track
Saurabh Kumar Indian Institute of Technology Kanpur, Debadatta Mishra , Biswabandan Panda Indian Institute of Technology Bombay, Sandeep K. Shukla Indian Institute of Technology Kanpur
DOI Pre-print Media Attached
05:26
4m
Talk
TriggerZoo: A Dataset of Android Applications Automatically Infected with Logic Bombs
Data and Tool Showcase Track
Jordan Samhi University of Luxembourg, Tegawendé F. Bissyandé SnT, University of Luxembourg, Jacques Klein University of Luxembourg
DOI Pre-print Media Attached
05:30
4m
Talk
CamBench - Cryptographic API Misuse Detection Tool Benchmark Suite
Registered Reports
Michael Schlichtig Heinz Nixdorf Institute at Paderborn University, Anna-Katharina Wickert TU Darmstadt, Germany, Stefan Krüger Independent Researcher, Eric Bodden University of Paderborn; Fraunhofer IEM, Mira Mezini TU Darmstadt
Pre-print
05:34
16m
Live Q&A
Discussions and Q&A
Technical Papers


Information for Participants
Thu 19 May 2022 05:00 - 05:50 at MSR Main room - odd hours - Session 10: Security Chair(s): Triet Le Huynh Minh
Info for room MSR Main room - odd hours:

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