Demo Data from VLDB 2026 / reviewers in the wild / expert
Zhangyue Zhang
dblp:363/1584
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2025
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
2 papers |
Systems and software security · 50% Web and mobile security · 44% Network security · 6% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › exploitation
automated exploit generation |
0.9 | 1 | 2025 | DeepExploitor: LLM-Enhanced Automated Exploitation of DeepLink Attack in Hybrid Apps · ASE 2025 |
Web and mobile security
mobile application security |
0.9 | 1 | 2025 | DeepExploitor: LLM-Enhanced Automated Exploitation of DeepLink Attack in Hybrid Apps · ASE 2025 |
Web and mobile security › web security
URL shortening service abuse |
0.9 | 1 | 2025 | Misdirection of Trust: Demystifying the Abuse of Dedicated URL Shortening Service · NDSS 2025 |
Systems and software security
vulnerability discovery |
0.9 | 1 | 2025 | DeepExploitor: LLM-Enhanced Automated Exploitation of DeepLink Attack in Hybrid Apps · ASE 2025 |
Systems and software security › secure software development
input validation |
0.3 | 1 | 2025 | DeepExploitor: LLM-Enhanced Automated Exploitation of DeepLink Attack in Hybrid Apps · ASE 2025 |
Network security
traffic analysis |
0.3 | 1 | 2025 | Misdirection of Trust: Demystifying the Abuse of Dedicated URL Shortening Service · NDSS 2025 |
Methods — techniques the papers use, named apart from their topics
static analysis · 0.9large language model · 0.9domain mutation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | DeepExploitor: LLM-Enhanced Automated Exploitation of DeepLink Attack in Hybrid AppsabstractModern mobile apps widely embed WebView to enable rich and dynamic content, making it an increasingly attractive target for attackers. It is well known that insufficient or improper input validation on WebView-loaded URLs can compromise the entire app or even the underlying system. Among these threats, one of the most critical attack vectors is the DeepLink Attack, which often requires only a single user click to exploit WebView vulnerabilities. Despite the deployment of defense such as URL allowlists, misconfigurations and inconsistent implementations continue to expose apps to exploitation.In this paper, we present DeepExploitor, the first automated exploit generation framework targeting vulnerabilities exploitable via DeepLink Attack. DeepExploitor addresses two key challenges: First, it statically models complex, app-specific routing encapsulation and customized input parsing logic by extracing constraint-related code and resolving them through large language models (LLMs), enabling scalable discovery of valid exploits. Second, it identifies and mutates trusted domains embedded in the app to bypass black-box defenses such as domain-based allowlists. We evaluated DeepExploitor on 433 of the most popular Android apps and uncovered 83 zero-day vulnerabilities, including 24 rated as high or critical severity. All findings were responsibly disclosed to affected vendors, with 35 acknowledged to date or assigned CVE/CNVD identifiers. Zhangyue Zhang, Lei Zhang 0096, Zhibo Zhang 0006, Yongheng Liu, Zhemin Yang, Yuan Zhang 0009, Min Yang 0002 |
ASE | 1 |
| 2025 | Misdirection of Trust: Demystifying the Abuse of Dedicated URL Shortening Service
Zhibo Zhang 0006, Lei Zhang 0096, Zhangyue Zhang, Geng Hong, Yuan Zhang 0009, Min Yang 0002 |
NDSS | 3 |