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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
Securing the Web: Analysis of HTTP Security Headers in Po...
Urvashi Kishnani, Sanchari Das · 2024-10-19 · via cs.CR updates on arXiv.org

The surge in website attacks, including Denial of Service (DoS), Cross-Site Scripting (XSS), and Clickjacking, underscores the critical need for robust HTTPS implementation-a practice that, alarmingly, remains inadequately adopted. Regarding this, we analyzed HTTP security headers across N=3,195 globally popular websites. Initially, we employed automated categorization using Google NLP to organize these websites into functional categories and validated this categorization through manual verification using Symantec Sitereview. Subsequently, we assessed HTTPS implementation across these websites by analyzing security factors, including compliance with HTTP Strict Transport Security (HSTS) policies, Certificate Pinning practices, and other security postures using the Mozilla Observatory. Our analysis revealed over half of the websites examined (55.66%) received a dismal security grade of 'F' and most websites scored low for various metrics, which is indicative of weak HTTP header implementation. These low scores expose multiple issues such as weak implementation of Content Security Policies (CSP), neglect of HSTS guidelines, and insufficient application of Subresource Integrity (SRI). Alarmingly, healthcare websites (n=59) are particularly concerning; despite being entrusted with sensitive patient data and obligations to comply with data regulations, these sites recorded the lowest average score (18.14). We conclude by recommending that developers should prioritize secure redirection strategies and use implementation ease as a guide when deciding where to focus their development efforts.