Copertina

Technical Report: Exploring the Emerging Threats of the Agent Skill Ecosystem

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Beurer-Kellner, Luca, Kudrinskii, Aleksei, Milanta, Marco, Nielsen, Kristian Bonde, Sarkar, Hemang, Tal, Liran
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Cryptography and Security Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks
di: Schmotz, David, et al.
Pubblicazione: (2026)

CommandSans: Securing AI Agents with Surgical Precision Prompt Sanitization
di: Das, Debeshee, et al.
Pubblicazione: (2025)

Trojan Hippo: Weaponizing Agent Memory for Data Exfiltration
di: Das, Debeshee, et al.
Pubblicazione: (2026)

AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
di: Debenedetti, Edoardo, et al.
Pubblicazione: (2024)

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
di: Hitaj, Dorjan, et al.
Pubblicazione: (2024)

Towards Secure Agent Skills: Architecture, Threat Taxonomy, and Security Analysis
di: Li, Zhiyuan, et al.
Pubblicazione: (2026)

Proteus: A Self-Evolving Red Team for Agent Skill Ecosystems
di: Zhou, Zhaojiacheng
Pubblicazione: (2026)

Context Matters: Repository-Aware Security Analysis of the Agent Skill Ecosystem
di: Holzbauer, Florian, et al.
Pubblicazione: (2026)

When Safe Skills Collide: Measuring Compositional Risk in Agent Skill Ecosystems
di: Wang, Su, et al.
Pubblicazione: (2026)

MCPThreatHive: Automated Threat Intelligence for Model Context Protocol Ecosystems
di: Shen, Yi Ting, et al.
Pubblicazione: (2026)

When LLMs Go Online: The Emerging Threat of Web-Enabled LLMs
di: Kim, Hanna, et al.
Pubblicazione: (2024)

Prompt Injection as an Emerging Threat: Evaluating the Resilience of Large Language Models
di: Ganiuly, Daniyal, et al.
Pubblicazione: (2025)

Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP
di: Anbiaee, Zeynab, et al.
Pubblicazione: (2026)

AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies
di: Erukude, Sai Teja, et al.
Pubblicazione: (2026)

Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems
di: Qu, Yubin, et al.
Pubblicazione: (2026)

Benchmarking Security Risk Detection and Verification in Open Agentic Skill Ecosystems
di: Hossain, Ismail, et al.
Pubblicazione: (2026)

SkillTester: Benchmarking Utility and Security of Agent Skills
di: Wang, Leye, et al.
Pubblicazione: (2026)

BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning
di: Tie, Guiyao, et al.
Pubblicazione: (2026)

XekRung Technical Report
di: Zeng, Jiutian, et al.
Pubblicazione: (2026)

Securing the Future: Proactive Threat Hunting for Sustainable IoT Ecosystems
di: Ghasemshirazi, Saeid, et al.
Pubblicazione: (2024)

SkillJect: Effectively Automating Skill-Based Prompt Injection for Skill-Enabled Agents
di: Jia, Xiaojun, et al.
Pubblicazione: (2026)

SkillTrojan: Backdoor Attacks on Skill-Based Agent Systems
di: Feng, Yunhao, et al.
Pubblicazione: (2026)

Emerging Threats and Countermeasures in Neuromorphic Systems: A Survey
di: Sorrentino, Pablo, et al.
Pubblicazione: (2026)

ATAG: AI-Agent Application Threat Assessment with Attack Graphs
di: Gandhi, Parth Atulbhai, et al.
Pubblicazione: (2025)

Quantum-Augmented AI/ML for O-RAN: Hierarchical Threat Detection with Synergistic Intelligence and Interpretability (Technical Report)
di: Le, Tan, et al.
Pubblicazione: (2025)

The Hidden Threat in Plain Text: Attacking RAG Data Loaders
di: Castagnaro, Alberto, et al.
Pubblicazione: (2025)

HarmfulSkillBench: How Do Harmful Skills Weaponize Your Agents?
di: Jiang, Yukun, et al.
Pubblicazione: (2026)

Security Threats in Agentic AI System
di: Khan, Raihan, et al.
Pubblicazione: (2024)

Mobile GUI Agents under Real-world Threats: Are We There Yet?
di: Liu, Guohong, et al.
Pubblicazione: (2025)

WIPI: A New Web Threat for LLM-Driven Web Agents
di: Wu, Fangzhou, et al.
Pubblicazione: (2024)

SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills
di: Hou, Yinghan, et al.
Pubblicazione: (2026)

Emerging Cyber Attack Risks of Medical AI Agents
di: Qiu, Jianing, et al.
Pubblicazione: (2025)

Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection
di: Song, Chengyu, et al.
Pubblicazione: (2024)

Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats
di: Deng, Xinhao, et al.
Pubblicazione: (2026)

From Threat Intelligence to Firewall Rules: Semantic Relations in Hybrid AI Agent and Expert System Architectures
di: Bonfanti, Chiara, et al.
Pubblicazione: (2026)

AgentTrap: Measuring Runtime Trust Failures in Third-Party Agent Skills
di: Zhuang, Haomin, et al.
Pubblicazione: (2026)

The Impact of Emerging Phishing Threats: Assessing Quishing and LLM-generated Phishing Emails against Organizations
di: Weinz, Marie, et al.
Pubblicazione: (2025)

AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
di: Deng, Zehang, et al.
Pubblicazione: (2024)

From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows
di: Ferrag, Mohamed Amine, et al.
Pubblicazione: (2025)

Threat Me Right: A Human HARMS Threat Model for Technical Systems
di: Turk, Kieron Ivy, et al.
Pubblicazione: (2025)