ICSE 2024
Fri 12 - Sun 21 April 2024 Lisbon, Portugal
Fri 19 Apr 2024 17:15 - 17:30 at Eugénio de Andrade - Static Detection Techniques Chair(s): Valentina Lenarduzzi

Identifying taint specification plays an important role in vulnerability detection and remains as one of the most challenging task in the field. In this paper, we report our semi-automated scheme for inferencing and maintaining taint specifications at industrial scale. Knowledge graph is adopted as the core engine in representing the the accumulated knowledge we gathered in this domain, and taint rules are generated based on nodes in the graph to achieve the desired taint track functionality. We propose the mining plus human-in-the-loop labeling approach to discover candidate taint specifications, assign concrete APIs to nodes in the knowledge graph and further form taint rules. We also propose a novel multi-view active machine learning based approach to characterize an API via collective matrix factorization which combines different aspects of API use-pattern and its naming together. The obtained API embedding is then used to perform similarity reasoning to expand taint specification starting from a small list of well-known APIs (seeds) with potential vulnerabilities. With the proposed technology, we expanded the taint seeds for the CodeGuru Reviewer’s configurable taint rules, and it not only improved the coverage of these rules but maintained high acceptance rate in real production.

Fri 19 Apr

Displayed time zone: Lisbon change

16:00 - 17:30
Static Detection TechniquesSoftware Engineering in Practice / Research Track at Eugénio de Andrade
Chair(s): Valentina Lenarduzzi University of Oulu
16:00
15m
Talk
MalwareTotal: Multi-Faceted and Sequence-Aware Bypass Tactics against Static Malware Detection
Research Track
Shuai He Huazhong University of Science and Technology, Cai Fu Huazhong University of Science and Technology, Hong Hu Pennsylvania State University, Jiahe Chen Huazhong University of Science and Technology, Jianqiang Lv Huazhong University of Science and Technology, Shuai Jiang Huazhong University of Science and Technology
Link to publication
16:15
15m
Talk
Semantic-Enhanced Static Vulnerability Detection in Baseband FirmwareACM SIGSOFT Distinguished Paper Award
Research Track
Yiming Liu Institute of Information Engineering, Chinese Academy of Sciences, Cen Zhang Nanyang Technological University, Feng Li Key Laboratory of Network Assessment Technology, Institute of Information Engineering, Chinese Academy of Sciences, China; School of CyberSpace Security at University of Chinese Academy of Sciences, China, Yeting Li Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Jianhua Zhou Key Laboratory of Network Assessment Technology, Institute of Information Engineering, Chinese Academy of Sciences, China, Jian Wang Institute of Information Engineering, Chinese Academy of Sciences, Lanlan Zhan Institute of Information Engineering, Chinese Academy of Sciences, Yang Liu Nanyang Technological University, Wei Huo Institute of Information Engineering at Chinese Academy of Sciences
16:30
15m
Talk
CSChecker: Revisiting GDPR and CCPA Compliance of Cookie Banners on the Web
Research Track
Mingxue Zhang Zhejiang University, Wei Meng Chinese University of Hong Kong, You Zhou Zhejiang University, Kui Ren Zhejiang University
16:45
15m
Talk
Raisin: Identifying Rare Sensitive Functions for Bug Detection
Research Track
Jianjun Huang Renmin University of China, Jianglei Nie Renmin University of China, Yuanjun Gong Renmin University of China, Wei You Renmin University of China, Bin Liang Renmin University of China, China, Pan Bian Huawei Technologies CO., LTD., China
17:00
15m
Talk
Broadly Enabling KLEE to Effortlessly Find Unrecoverable Errors in Rust
Software Engineering in Practice
Ying Zhang Virginia Tech, Peng Li Zoox, Yu Ding Google, Wang Lingxiang Microsoft, Dan Williams Virginia Tech, Na Meng Virginia Tech
Pre-print
17:15
15m
Talk
Inference for Ever-Changing Policy of Taint Analysis
Software Engineering in Practice
Wen-Hao Chiang Amazon Web Services, Peixuan Li Amazon Web Services, Qiang Zhou Amazon Web Services, Subarno Banerjee Amazon Web Services, Martin Schäf Amazon Web Services, Yingjun Lyu Amazon Web Services, Hoan Nguyen Amazon Web Services, Omer Tripp Amazon Web Services