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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
Transparent Attested DNS for Confidential Computing Services
Antoine Delignat-Lavaud, Cédric Fournet, Kapil Vaswani, Manuel C · 2025-03-19 · via cs.CR updates on arXiv.org

Confidential services running in hardware-protected Trusted Execution Environments (TEEs) can provide higher security assurance, but this requires custom clients and protocols to distribute, update, and verify their attestation evidence. Compared with classic Internet security, built upon universal abstractions such as domain names, origins, and certificates, this puts a significant burden on service users and providers. In particular, Web browsers and other legacy clients do not get the same security guaranties as custom clients. We present a new approach for users to establish trust in confidential services. We propose attested DNS (aDNS): a name service that securely binds the attested implementation of confidential services to their domain names. ADNS enforces policies for all names in its zone of authority: any TEE that runs a service must present hardware attestation that complies with the domain-specific policy before registering keys and obtaining certificates for any name in this domain. ADNS provides protocols for zone delegation, TEE registration, and certificate issuance. ADNS builds on standards such as DNSSEC, DANE, ACME and Certificate Transparency. ADNS provides DNS transparency by keeping all records, policies, and attestations in a public append-only log, thereby enabling auditing and preventing targeted attacks. We implement aDNS as a confidential service using a fault-tolerant network of TEEs. We evaluate it using sample confidential services that illustrate various TEE platforms. On the client side, we provide a generic browser extension that queries and verifies attestation records before opening TLS connections, with negligible performance overhead, and we show that, with aDNS, even legacy Web clients benefit from confidential computing as long as some enlightened clients verify attestations to deter or blame malicious actors.