Improving IoT Intrusion Detection through SMOTE-Based Oversampling and Extended Multi-Model Evaluation on Side-Channel Power Data

The detection of intrusions in IoT-based networks poses challenges that cannot be overcome using traditional machine learning methods. Perhaps the biggest of them is related to the presence of a class imbalance in the side-channel dataset, where the number of samples in the normal class compared ...

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models

While vision and multimodal foundation models underpin critical tasks from perception to complex reasoning, they remain highly vulnerable to adversarial attacks. However, traditional adversarial attacks are typically limited to single, predefined objectives, tightly coupling each attack to a...

Microsoft's MDASH AI System Finds 16 Windows Flaws Fixed in Patch Tuesday

Microsoft has unveiled a new multi-model artificial intelligence AI-driven system called MDASH to facilitate vulnerability discovery and remediation at scale, adding that it's being tested by some customers as part of a limited private preview. MDASH, short for m ulti-mod el a gentic s canning h...

[SECURITY] Fedora 44 Update: goose-1.23.2-8.fc44

Goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously...

[SECURITY] Fedora 43 Update: goose-1.23.2-7.fc43

Goose is your on-machine AI agent, capable of automating complex development tasks from start to finish. More than just code suggestions, goose can build entire projects from scratch, write and execute code, debug failures, orchestrate workflows, and interact with external APIs - autonomously...

PT-2026-22468

CVE-2024-62819 Nexus AI Chatbot A production-grade AI chatbot platform, forked from Vercel's Chat SDK and extended with multi-model support, document management, RAG search, and custom AI agents. Live https://t.co/yWk2xxjelG...

Cross-LLM Generalization of Behavioral Backdoor Detection in AI Agent Supply Chains

As AI agents become integral to enterprise workflows, their reliance on shared tool libraries and pre-trained components creates significant supply chain vulnerabilities. While previous work has demonstrated behavioral backdoor detection within individual LLM architectures, the critical question ...

graph-rag-poc

Graph RAG Pipeline - Proof of Concept A locally-executable Gr...

hermes-agent

Hermes Agent ☤ The self-improving AI agent b...

MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark

Recent advances in generative models have led to their application in password guessing, with the aim of replicating the complexity, structure, and patterns of human-created passwords. Despite their potential, inconsistencies and inadequate evaluation methodologies in prior research have hindered...

Cross site scripting

Cross-site scripting vulnerability in Mitsubishi Electric consumer electronics products Air Conditioning, Wi-Fi Interface, Refrigerator, HEMS adapter, Remote control with Wi-Fi Interface, BATHROOM THERMO VENTILATOR, Rice cooker, Mitsubishi Electric HEMS control adapter, Energy Recovery Ventilator...

ArangoDB Community Edition 3.4.2-1 - Cross-Site Scripting

Exploit Title: ArangoDB Community Edition 3.4.2-1 | Cross-Site Scripting Date: 17.02.2019 Exploit Author: Ozer Goker Vendor Homepage: https://www.arangodb.com Software Link: https://www.arangodb.com/download-major/ Version: 3.4.2-1 Introduction ArangoDB is a native multi-model, open-source databa...