Self-State Attacks on Self-Hosted AI Agents: How Far Can OS Defenses Go?
cs.CR, cs.AI, cs.CL, cs.MA
Submitted: 2026-07-20
Updated: 2026-09-17
Comments: 21 pages, 4 figures
Code: https://github.com/nousresearch/hermesagent
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Taming Various Privilege Escalation in LLM-Based Agent Systems: A Mandatory Access Control Framework
- Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents
- A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
- Energy-based Out-of-distribution Detection
- Formalizing and Benchmarking Prompt Injection Attacks and Defenses
- "Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors
- VeriGuard: Enhancing LLM Agent Safety via Verified Code Generation
- ConfusedPilot: Confused Deputy Risks in RAG-based LLMs
- Progent: Securing AI Agents with Privilege Control
- AgentGuardian: Learning Access Control Policies to Govern AI Agent Behavior
- The Promptware Kill Chain: How Prompt Injections Gradually Evolved Into a Multistep Malware Delivery Mechanism
- Systems Security Foundations for Agentic Computing
- Securing AI Agents with Information-Flow Control
- Defeating Prompt Injections by Design
- Memory Injection Attacks on LLM Agents via Query-Only Interaction
- WASP: Benchmarking Web Agent Security Against Prompt Injection Attacks
- Memory Poisoning Attack and Defense on Memory Based LLM-Agents
- AgentSpec: Customizable Runtime Enforcement for Safe and Reliable LLM Agents
- IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic Systems
- GuardAgent: Safeguard LLM Agents by a Guard Agent via Knowledge-Enabled Reasoning
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