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Shenao Wang

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Oct 2026

“Wait, My Tool Can’t Do That?” A Fine-Grained Capability Study of Modern Static Taint Analyzers

Static taint analyzers are widely used in software security, yet aggregate vulnerability-detection metrics provide limited insight into the specific language constructs and analysis capabilities that cause tools to succeed or fail. This paper presents xAST, a fine-grained benchmark containing 844 paired capability case...

Yan-Jie Zhao, Shen-Ao Wang, Jian Zhao et al. · 0 citations
Preprint Aug 2026

MalTotal: Cost-Effective and Language-Agnostic Malicious Code Poisoning Detection for Millions of Repositories

MalTotal leverages LLM-assisted semantic reasoning to identify sensitive APIs, perform hybrid semantic slicing, and reconstruct malicious behavior contexts while reducing analysis overhead, demonstrating the effectiveness, scalability, and cost-efficiency of MalTotal in mitigating large-scale code poisoning attacks.

Jian Zhao, Shenao Wang, Qingyang Wu et al. · 1 citation · ⚡1
Review Jul 2026

When Agents Do Not Stop: Uncovering Infinite Agentic Loops in LLM Agents

IAL-Scan is proposed, a static analysis tool for detecting IAL failures in real-world LLM agent projects, and builds an Agentic Loop Dependence Graph (ALDG) to recover explicit and framework induced feedback paths, and checks whether these paths can repeatedly reach costly or state growing operations without an effecti...

Xinyi Hou, Shenao Wang, Yanjie Zhao et al. · 2 citations
Preprint Jul 2026

AgentFlow: Building Agent Dependency Graphs for Static Analysis of Agent Programs

The evaluation shows that AgentFlow recovers richer agent entities and dependencies than existing AST-based agent static analysis tools, generates more dependency-aware Agent BOMs, and uncovers 238 taint-style prompt-to-tool risks in real-world agent programs.

Shenao Wang, Xinyi Hou, Yanjie Zhao et al. · 0 citations

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