VulZoo: A Comprehensive Vulnerability Intelligence Dataset

Software vulnerabilities pose critical security and risk concerns. Many techniques are proposed to assess and prioritize vulnerabilities. To evaluate their performance, researchers often craft datasets from limited data sources, lacking a global overview of broad vulnerability intelligence. The repetitive data preparation process complicates the evaluation of new solutions. To solve this issue, we propose VulZoo, a comprehensive vulnerability intelligence dataset that covers 17 vulnerability data sources. We also construct connections among these sources, enabling more straightforward configuration and adaptation for different tasks. VulZoo provides utility scripts for automatic data synchronization and cleaning, relationship mining, and statistics generation. We make VulZoo publicly available and maintain it with incremental updates. We believe that VulZoo serves as a valuable input to vulnerability assessment and prioritization studies. The video is at https://youtu.be/EvoxQmUAHtw. The dataset is at https://github.com/NUS-Curiosity/VulZoo.

Authors

Institutions

Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3691620.3695345
Citations
5
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
1.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VulZoo: A Comprehensive Vulnerability Intelligence Dataset

Bonan Ruan, Zhenkai Liang, Jiahao Liu, Weibo Zhao
5 citations
Advanced Malware Detection Techniques
1.75
article

VulZoo: A Comprehensive Vulnerability Intelligence Dataset

Bonan Ruan, Zhenkai Liang, Jiahao Liu, Weibo Zhao
article en
5 citations

Abstract

Software vulnerabilities pose critical security and risk concerns. Many techniques are proposed to assess and prioritize vulnerabilities. To evaluate their performance, researchers often craft datasets from limited data sources, lacking a global overview of broad vulnerability intelligence. The repetitive data preparation process complicates the evaluation of new solutions. To solve this issue, we propose VulZoo, a comprehensive vulnerability intelligence dataset that covers 17 vulnerability data sources. We also construct connections among these sources, enabling more straightforward configuration and adaptation for different tasks. VulZoo provides utility scripts for automatic data synchronization and cleaning, relationship mining, and statistics generation. We make VulZoo publicly available and maintain it with incremental updates. We believe that VulZoo serves as a valuable input to vulnerability assessment and prioritization studies. The video is at https://youtu.be/EvoxQmUAHtw. The dataset is at https://github.com/NUS-Curiosity/VulZoo.

National University of Singapore (SG)
Openalex Percentile: Top 14%
Advanced Malware Detection Techniques
1.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.