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Strait of Hormuz Reopening: Mine Clearance Delays Threaten Weeks-Long Recovery for Oil Shipping India’s REITs and InvITs May Attract Rs 11.6 Lakh Crore Investment by 2030, Avendus Report Says DualGauge: Automated Joint Security-Functionality Benchmarking of Specification-Only Code Generation by LLMs and Coding Agents Nimble SharePower: Modular Power Bank Lets You Share a Charge With a Friend OBCache Prunes KV Cache for Efficient Long-Context LLM Inference with Output-Aware Scoring 'Dangerous' AI Models: Enterprise Leaders Must Prepare for Broad Availability Air India Launches 'Basic Fare' Option Without Complimentary Meals on Select Domestic Flights New Survey Maps How Evidence Tracing and Execution Provenance Can Make LLM Agents Trustworthy New Unifying Lens for Learning to Hash Could Cut Memory Costs in Large-Scale Retrieval Mosaic: Data-Free Knowledge Distillation Framework Uses Mixture-of-Experts to Tackle Heterogeneous Federated Learning Strait of Hormuz Reopening: Mine Clearance Delays Threaten Weeks-Long Recovery for Oil Shipping India’s REITs and InvITs May Attract Rs 11.6 Lakh Crore Investment by 2030, Avendus Report Says DualGauge: Automated Joint Security-Functionality Benchmarking of Specification-Only Code Generation by LLMs and Coding Agents Nimble SharePower: Modular Power Bank Lets You Share a Charge With a Friend OBCache Prunes KV Cache for Efficient Long-Context LLM Inference with Output-Aware Scoring 'Dangerous' AI Models: Enterprise Leaders Must Prepare for Broad Availability Air India Launches 'Basic Fare' Option Without Complimentary Meals on Select Domestic Flights New Survey Maps How Evidence Tracing and Execution Provenance Can Make LLM Agents Trustworthy New Unifying Lens for Learning to Hash Could Cut Memory Costs in Large-Scale Retrieval Mosaic: Data-Free Knowledge Distillation Framework Uses Mixture-of-Experts to Tackle Heterogeneous Federated Learning
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red teaming

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MUZZLE Framework Automates Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks Technology
Cybersecurity #cybersecurity#ai security

MUZZLE Framework Automates Red-Teaming of Web Agents Against Indirect Prompt Injection Attacks

MuZZLE is an automated agentic framework that evaluates the security of LLM-based web agents against indirect prompt injection attacks. It discovered 44 new attacks across 4 web applications, including cross-application injection and agent-tailored phishing, by adaptively generating context-aware malicious instructions based on agent execution trajectories.

Jun 16, 2026 1 source
New DeepTrap Framework Reveals Contextual Vulnerabilities in OpenClaw Agentic AI Systems Technology
Cybersecurity #red-teaming#cybersecurity

New DeepTrap Framework Reveals Contextual Vulnerabilities in OpenClaw Agentic AI Systems

A new research paper presents DeepTrap, an automated framework for red-teaming agentic AI systems by discovering contextual vulnerabilities beyond user prompts. The framework was evaluated on OpenClaw, a benchmark of 42 cases across six vulnerability classes and seven operational scenarios, testing nine target models. Results show that contextual compromise can induce unsafe behavior while preserving task completion, indicating that final-response evaluation is insufficient.

Jun 16, 2026 1 source