SastBench: A Benchmark for Testing Agentic SAST Triage
Fuente:
arXiv
Saved in:
| Main Authors: | Feiglin, Jake, Dar, Guy |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WAInjectBench: Benchmarking Prompt Injection Detections for Web Agents
by: Liu, Yinuo, et al.
Published: (2025)
by: Liu, Yinuo, et al.
Published: (2025)
RAT-Bench: A Comprehensive Benchmark for Text Anonymization
by: Krčo, Nataša, et al.
Published: (2026)
by: Krčo, Nataša, et al.
Published: (2026)
A Survey on Agentic Security: Applications, Threats and Defenses
by: Shahriar, Asif, et al.
Published: (2025)
by: Shahriar, Asif, et al.
Published: (2025)
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
by: Li, Lijun, et al.
Published: (2024)
by: Li, Lijun, et al.
Published: (2024)
RedacBench: Can AI Erase Your Secrets?
by: Jeon, Hyunjun, et al.
Published: (2026)
by: Jeon, Hyunjun, et al.
Published: (2026)
Text2VLM: Adapting Text-Only Datasets to Evaluate Alignment Training in Visual Language Models
by: Downer, Gabriel, et al.
Published: (2025)
by: Downer, Gabriel, et al.
Published: (2025)
AgentSOC: A Multi-Layer Agentic AI Framework for Security Operations Automation
by: Roy, Joyjit, et al.
Published: (2026)
by: Roy, Joyjit, et al.
Published: (2026)
PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning
by: Fu, Tingchen, et al.
Published: (2024)
by: Fu, Tingchen, et al.
Published: (2024)
What Was Your Prompt? A Remote Keylogging Attack on AI Assistants
by: Weiss, Roy, et al.
Published: (2024)
by: Weiss, Roy, et al.
Published: (2024)
ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation
by: Wu, Yiran, et al.
Published: (2025)
by: Wu, Yiran, et al.
Published: (2025)
Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts
by: Uenal, Fatih
Published: (2026)
by: Uenal, Fatih
Published: (2026)
Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models
by: Belkhiter, Yannis, et al.
Published: (2026)
by: Belkhiter, Yannis, et al.
Published: (2026)
AgentAlign: Navigating Safety Alignment in the Shift from Informative to Agentic Large Language Models
by: Zhang, Jinchuan, et al.
Published: (2025)
by: Zhang, Jinchuan, et al.
Published: (2025)
BELLS: A Framework Towards Future Proof Benchmarks for the Evaluation of LLM Safeguards
by: Dorn, Diego, et al.
Published: (2024)
by: Dorn, Diego, et al.
Published: (2024)
SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios
by: Chen, Junkai, et al.
Published: (2025)
by: Chen, Junkai, et al.
Published: (2025)
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs
by: Xu, Zhao, et al.
Published: (2024)
by: Xu, Zhao, et al.
Published: (2024)
Evading Toxicity Detection with ASCII-art: A Benchmark of Spatial Attacks on Moderation Systems
by: Berezin, Sergey, et al.
Published: (2024)
by: Berezin, Sergey, et al.
Published: (2024)
Agent Tools Orchestration Leaks More: Dataset, Benchmark, and Mitigation
by: Qiao, Yuxuan, et al.
Published: (2025)
by: Qiao, Yuxuan, et al.
Published: (2025)
SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks
by: Li, Tianhao, et al.
Published: (2024)
by: Li, Tianhao, et al.
Published: (2024)
Test-Time Immunization: A Universal Defense Framework Against Jailbreaks for (Multimodal) Large Language Models
by: Yu, Yongcan, et al.
Published: (2025)
by: Yu, Yongcan, et al.
Published: (2025)
JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks
by: Luo, Weidi, et al.
Published: (2024)
by: Luo, Weidi, et al.
Published: (2024)
Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments
by: Schnabl, Christoph, et al.
Published: (2025)
by: Schnabl, Christoph, et al.
Published: (2025)
InjecGuard: Benchmarking and Mitigating Over-defense in Prompt Injection Guardrail Models
by: Li, Hao, et al.
Published: (2024)
by: Li, Hao, et al.
Published: (2024)
Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test
by: Zhu, Xiaoyuan, et al.
Published: (2025)
by: Zhu, Xiaoyuan, et al.
Published: (2025)
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
by: Liu, Kangwei, et al.
Published: (2025)
by: Liu, Kangwei, et al.
Published: (2025)
AutoPenBench: Benchmarking Generative Agents for Penetration Testing
by: Gioacchini, Luca, et al.
Published: (2024)
by: Gioacchini, Luca, et al.
Published: (2024)
"Moralized" Multi-Step Jailbreak Prompts: Black-Box Testing of Guardrails in Large Language Models for Verbal Attacks
by: Wang, Libo
Published: (2024)
by: Wang, Libo
Published: (2024)
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory
by: Mireshghallah, Niloofar, et al.
Published: (2023)
by: Mireshghallah, Niloofar, et al.
Published: (2023)
Tool Preferences in Agentic LLMs are Unreliable
by: Faghih, Kazem, et al.
Published: (2025)
by: Faghih, Kazem, et al.
Published: (2025)
Holistic Automated Red Teaming for Large Language Models through Top-Down Test Case Generation and Multi-turn Interaction
by: Zhang, Jinchuan, et al.
Published: (2024)
by: Zhang, Jinchuan, et al.
Published: (2024)
TaeBench: Improving Quality of Toxic Adversarial Examples
by: Zhu, Xuan, et al.
Published: (2024)
by: Zhu, Xuan, et al.
Published: (2024)
MCPSecBench: A Systematic Security Benchmark and Playground for Testing Model Context Protocols
by: Yang, Yixuan, et al.
Published: (2025)
by: Yang, Yixuan, et al.
Published: (2025)
PII-Bench: Evaluating Query-Aware Privacy Protection Systems
by: Shen, Hao, et al.
Published: (2025)
by: Shen, Hao, et al.
Published: (2025)
ContraFix: Agentic Vulnerability Repair via Differential Runtime Evidence and Skill Reuse
by: Liu, Simiao, et al.
Published: (2026)
by: Liu, Simiao, et al.
Published: (2026)
BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems
by: Zhang, Andy K., et al.
Published: (2025)
by: Zhang, Andy K., et al.
Published: (2025)
Adversarial Intent is a Latent Variable: Stateful Trust Inference for Securing Multimodal Agentic RAG
by: Singh, Inderjeet, et al.
Published: (2026)
by: Singh, Inderjeet, et al.
Published: (2026)
SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions
by: Mishra, Saroj, et al.
Published: (2026)
by: Mishra, Saroj, et al.
Published: (2026)
AgentRedBench: Dynamic Redteaming and Integration-Aware Defense for LLM Agents over SaaS Integrations
by: Dingeto, Hiskias, et al.
Published: (2026)
by: Dingeto, Hiskias, et al.
Published: (2026)
Triaging Threats to Specialized Guardrails
by: Mo, Wenjie Jacky, et al.
Published: (2026)
by: Mo, Wenjie Jacky, et al.
Published: (2026)
RedSage: A Cybersecurity Generalist LLM
by: Suryanto, Naufal, et al.
Published: (2026)
by: Suryanto, Naufal, et al.
Published: (2026)
Similar Items
-
WAInjectBench: Benchmarking Prompt Injection Detections for Web Agents
by: Liu, Yinuo, et al.
Published: (2025) -
RAT-Bench: A Comprehensive Benchmark for Text Anonymization
by: Krčo, Nataša, et al.
Published: (2026) -
A Survey on Agentic Security: Applications, Threats and Defenses
by: Shahriar, Asif, et al.
Published: (2025) -
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
by: Li, Lijun, et al.
Published: (2024) -
RedacBench: Can AI Erase Your Secrets?
by: Jeon, Hyunjun, et al.
Published: (2026)