ASE 2025
Sun 16 - Thu 20 November 2025 Seoul, South Korea

This program is tentative and subject to change.

Tue 18 Nov 2025 12:20 - 12:30 at Grand Hall 5 - Security 1

Identifying the impact scope and scale is critical for software supply chain vulnerability assessment. However, existing studies face substantial limitations. First, prior studies either work at coarse package-level granularity—producing many false positives—or fail to accomplish whole-ecosystem vulnerability propagation analysis. Second, although vulnerability assessment indicators like CVSS characterize individual vulnerabilities, no metric exists to specifically quantify the dynamic impact of vulnerability propagation across software supply chains. To address these limitations and enable accurate and comprehensive vulnerability impact assessment, we propose a novel approach: (i) a hierarchical worklist-based algorithm for whole-ecosystem and call-graph-level vulnerability propagation analysis and (ii) the Vulnerability Propagation Scoring System (VPSS), a dynamic metric to quantify the scope and evolution of vulnerability impacts in software supply chains. We implement a prototype of our approach in the Java Maven ecosystem and evaluate it on 100 real-world vulnerabilities. Experimental results demonstrate that our approach enables effective ecosystem-wide vulnerability propagation analysis, and provides a practical, quantitative measure of vulnerability impact through VPSS.

This program is tentative and subject to change.

Tue 18 Nov

Displayed time zone: Seoul change

11:00 - 12:30
11:00
10m
Talk
Vulnerability-Affected Versions Identification: How Far Are We?
Research Papers
Xingchu Chen Institute of Information Engineering, CAS; School of Cyber Security, UCAS, Chengwei Liu Nanyang Technological University, Jialun Cao Hong Kong University of Science and Technology, Yang Xiao Chinese Academy of Sciences, Xinyue Cai Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Yeting Li Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Jingyi Shi Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences, tianqi sun Institute of Information Engineering, Chinese Academy of Sciences, Haiming Chen Institute of Software, Chinese Academy of Sciences, Wei Huo Institute of Information Engineering at Chinese Academy of Sciences
11:10
10m
Talk
LOSVER: Line-Level Modifiability Signal-Guided Vulnerability Detection and Classification
Research Papers
Doha Nam Korea Advanced Institute of Science and Technology, Jongmoon Baik Korea Advanced Institute of Science and Technology
11:20
10m
Talk
VERCATION: Precise Vulnerable Open-source Software Version Identification based on Static Analysis and LLM
Journal-First Track
Yiran Cheng Beijing Key Laboratory of IOT Information Security Technology, Institute of Information Engineering, CAS, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China;, Ting Zhang Monash University, Lwin Khin Shar Singapore Management University, Shouguo Yang Zhongguancun Laboratory, Beijing, China, Chaopeng Dong Institute of Information Engineering, CAS, Beijing, China; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China;, David Lo Singapore Management University, Shichao Lv Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Zhiqiang Shi Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Limin Sun Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences
11:30
10m
Talk
Not Every Patch is an Island: LLM-Enhanced Identification of Multiple Vulnerability Patches
Research Papers
Yi Song School of Computer Science, Wuhan University, Dongchen Xie School of Cyber Science and Engineering, Wuhan University, Lin Xu School of Cyber Science and Engineering, Wuhan University, He Zhang School of Computer Science, Wuhan University, Chunying Zhou School of Computer Science, Wuhan University, Xiaoyuan Xie Wuhan University
11:40
10m
Talk
Vul-R2: A Reasoning LLM for Automated Vulnerability Repair
Research Papers
Xin-Cheng Wen Harbin Institute of Technology, Zirui Lin Harbin Institute of Technology, Shenzhen, Yijun Yang Tencent AI Lab, Cuiyun Gao Harbin Institute of Technology, Shenzhen, Deheng Ye Tencent AI Lab
11:50
10m
Talk
DeepExploitor: LLM-Enhanced Automated Exploitation of DeepLink Attack in Hybrid Apps
Research Papers
Zhangyue Zhang Fudan University, Lei Zhang Fudan University, Zhibo Zhang Huazhong University of Science and Technology, Yongheng Liu Fudan University, Zhemin Yang Fudan University, Yuan Zhang Fudan University, Min Yang Fudan University
12:00
10m
Talk
Demystifying Cookie Sharing Risks in WebView-based Mobile App-in-app Ecosystems
Research Papers
Miao Zhang Beijing University of Posts and Telecommunications, Shenao Wang Huazhong University of Science and Technology, Guilin Zheng Beijing University of Posts and Telecommunications, Yanjie Zhao Huazhong University of Science and Technology, Haoyu Wang Huazhong University of Science and Technology
12:10
10m
Talk
Hit The Bullseye On The First Shot: Improving LLMs Using Multi-Sample Self-Reward Feedback for Vulnerability Repair
Research Papers
Rui Jiao Xidian University, Yue Zhang Drexel University, Jinku Li Xidian University, Jianfeng Ma Xidian University
12:20
10m
Talk
Propagation-Based Vulnerability Impact Assessment for Software Supply Chains
Research Papers
Bonan Ruan National University of Singapore, Zhiwei Lin National University of Singapore, Jiahao Liu National University of Singapore, Chuqi Zhang National University of Singapore, Kaihang Ji National University of Singapore, Zhenkai Liang National University of Singapore
Pre-print