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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
PolyScope: Multi-Policy Access Control Analysis to Triage...
Yu-Tsung Lee, Haining Chen, William Enck, Hayawardh Vijayakumar, · 2023-02-27 · via cs.CR updates on arXiv.org

Android's filesystem access control is a crucial aspect of its system integrity. It utilizes a combination of mandatory access controls, such as SELinux, and discretionary access controls, like Unix permissions, along with specialized access controls such as Android permissions to safeguard OEM and Android services from third-party applications. However, when OEMs introduce differentiating features, they often create vulnerabilities due to their inability to properly reconfigure this complex policy combination. To address this, we introduce the POLYSCOPE tool, which triages Android filesystem access control policies to identify attack operations - authorized operations that may be exploited by adversaries to elevate their privileges. POLYSCOPE has three significant advantages over prior analyses: it allows for the independent extension and analysis of individual policy models, understands the flexibility untrusted parties have in modifying access control policies, and can identify attack operations that system configurations permit. We demonstrate the effectiveness of POLYSCOPE by examining the impact of Scoped Storage on Android, revealing that it reduces the number of attack operations possible on external storage resources by over 50%. However, because OEMs only partially adopt Scoped Storage, we also uncover two previously unknown vulnerabilities, demonstrating how POLYSCOPE can assess an ideal scenario where all apps comply with Scoped Storage, which can reduce the number of untrusted parties accessing attack operations by over 65% on OEM systems. POLYSCOPE thus helps Android OEMs evaluate complex access control policies to pinpoint the attack operations that require further examination.