Cybersecurity & Exploits

Global: Researchers Identify Remote Side-Channel Attacks on Open vSwitchDaewoo Kim and Sihang Liu have presented three remote side‑channel attacks that break isolation in virtualized cloud environments, as detailed in a…

Global: Researchers Propose Data-Driven Framework to Quantify MITRE Attack Campaign LikelihoodA team of cybersecurity researchers has introduced a data‑driven framework designed to assign quantitative likelihood values to attack campaigns documented…

Global: Study Finds Soft Prompt Attacks Can Extract 65.2% of LLM Data, Defense Reduces Rate to 1.6%Researchers Zhuochen Yang, Kar Wai Fok, and Vrizlynn L. L. Thing submitted a paper to arXiv on October 13 2025, later…

Global: Researchers Unveil Prompt-Stealing Attack Targeting Text-to-Image ModelsA team of researchers has introduced a new technique, dubbed Prometheus, that can reverse‑engineer the textual prompts behind images generated by popular text‑to‑image…

Global: Study Reveals False-Positive Manipulation Attack Threatening Industrial IoT NIDSResearchers have demonstrated a novel adversarial technique that deliberately inflates false-positive rates in machine-learning-based network intrusion detection systems (NIDS), targeting industrial…

Global: Explainable Decision Tree Model Achieves Near-Perfect Accuracy for IoT Intrusion DetectionOn January 2026, a team of researchers unveiled an explainable artificial intelligence (XAI) framework designed to enhance intrusion detection…

Global: Study Introduces Aurora Framework to Assess Confidence Reliability in Malware Classifiers A team of researchers posted a paper on arXiv in May 2025 describing Aurora, a framework that evaluates…

Global: Meta-Learning Framework Improves Cross-Domain Log Anomaly DetectionResearchers have introduced a new meta‑learning based framework that enhances log anomaly detection across disparate system environments. The study, posted on arXiv in…

Global: Zero-Shot Embedding Drift Detection Offers Scalable Defense Against Prompt Injection AttacksResearchers have introduced Zero-Shot Embedding Drift Detection (ZEDD), a lightweight framework designed to identify both direct and indirect prompt…

Global: New Attack Exploits Android GUI Agents via Action RebindingResearchers have uncovered a critical vulnerability affecting Android graphical user interface (GUI) agents that employ large multimodal models to perceive screen…