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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
FIDO2 With Two Displays-Or How to Protect Security-Critic...
Timon Hackenjos, Benedikt Wagner, Julian Herr, Jochen Rill, Mare · 2022-06-27 · via cs.CR updates on arXiv.org

With the rise of attacks on online accounts in the past years, more and more services offer two-factor authentication for their users. Having factors out of two of the three categories something you know, something you have and something you are should ensure that an attacker cannot compromise two of them at once. Thus, an adversary should not be able to maliciously interact with one's account. However, this is only true if one considers a weak adversary. In particular, since most current solutions only authenticate a session and not individual transactions, they are noneffective if one's device is infected with malware. For online banking, the banking industry has long since identified the need for authenticating transactions. However, specifications of such authentication schemes are not public and implementation details vary wildly from bank to bank with most still being unable to protect against malware. In this work, we present a generic approach to tackle the problem of malicious account takeovers, even in the presence of malware. To this end, we define a new paradigm to improve two-factor authentication that involves the concepts of one-out-of-two security and transaction authentication. Web authentication schemes following this paradigm can protect security-critical transactions against manipulation, even if one of the factors is completely compromised. Analyzing existing authentication schemes, we find that they do not realize one-out-of-two security. We give a blueprint of how to design secure web authentication schemes in general. Based on this blueprint we propose FIDO2 With Two Displays (FIDO2D), a new web authentication scheme based on the FIDO2 standard and prove its security using Tamarin. We hope that our work inspires a new wave of more secure web authentication schemes, which protect security-critical transactions even against attacks with malware.