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cs.CR updates on arXiv.org

Agentic Vulnerability Reasoning on Windows COM Binaries From Beats to Breaches:How Offensive AI Infers Sensitive User Information from Playlists Undetectable Backdoors in Model Parameters: Hiding Sparse Secrets in High Dimensions When Embedding-Based Defenses Fail: Rethinking Safety in LLM-Based Multi-Agent Systems Token-Efficient Change Detection in LLM APIs Selfie-Capture Dynamics as an Auxiliary Signal Against Deepfakes and Injection Attacks for Mobile Identity Verification Trident: Improving Malware Detection with LLMs and Behavioral Features When Alignment Isn't Enough: Response-Path Attacks on LLM Agents RefusalGuard: Geometry-Preserving Fine-Tuning for Safety in LLMs Checkerboard: A Simple, Effective, Efficient and Learning-free Clean Label Backdoor Attack with Low Poisoning Budget Block-wise Codeword Embedding for Reliable Multi-bit Text Watermarking Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors Enhancing Linux Privilege Escalation Attack Capabilities of Local LLM Agents Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards Behavioral Canaries: Auditing Private Retrieved Context Usage in RL Fine-Tuning FlexServe: A Fast and Secure LLM Serving System for Mobile Devices with Flexible Resource Isolation Breaking MCP with Function Hijacking Attacks: Novel Threats for Function Calling and Agentic Models Text Steganography with Dynamic Codebook and Multimodal Large Language Model An AI Agent Execution Environment to Safeguard User Data TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD Symbolic Guardrails for Domain-Specific Agents: Stronger Safety and Security Guarantees Without Sacrificing Utility Hardening x402: PII-Safe Agentic Payments via Pre-Execution Metadata Filtering QShield: Securing Neural Networks Against Adversarial Attacks using Quantum Circuits Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation One Word at a Time: Incremental Completion Decomposition Breaks LLM Safety Measuring and Exploiting Contextual Bias in LLM-Assisted Security Code Review
SoK: An Introspective Analysis of RPKI Security
Donika Mirdita, Haya Schulmann, Michael Waidner · 2024-08-22 · via cs.CR updates on arXiv.org

The Resource Public Key Infrastructure (RPKI) is the main mechanism to protect inter-domain routing with BGP from prefix hijacks. It has already been widely deployed by large providers and the adoption rate is getting to a critical point. Almost half of all the global prefixes are now covered by RPKI and measurements show that 27% of networks are already using RPKI to validate BGP announcements. Over the past 10 years, there has been much research effort in RPKI, analyzing different facets of the protocol, such as software vulnerabilities, robustness of the infrastructure or the proliferation of RPKI validation. In this work we compile the first systemic overview of the vulnerabilities and misconfigurations in RPKI and quantify the security landscape of the global RPKI deployments based on our measurements and analysis. Our study discovers that 56% of the global RPKI validators suffer from at least one documented vulnerability. We also do a systematization of knowledge for existing RPKI security research and complement the existing knowledge with novel measurements in which we discover new trends in availability of RPKI repositories, and their communication patterns with the RPKI validators. We weave together the results of existing research and our study, to provide a comprehensive tableau of vulnerabilities, their sources, and to derive future research paths necessary to prepare RPKI for full global deployment.