CLSA-2026-1779122132 expat: Fix of CVE-2026-45186

CVE-2026-45186: fix quadratic runtime behavior in attribute collision detection...

How to Reduce Phishing Exposure Before It Turns into Business Disruption

What happens when a phishing email looks clean enough to pass through security, but dangerous enough to expose the business after one click? That is the gap many SOCs still struggle with: the attacks that leave teams unsure what was exposed, who else was targeted, and how far the risk has spread...

Continuous Detection, Continuous Response: Mate Security Redefines the Modern SOC

New York, USA, 18th May 2026, CyberNewswire...

From Detection to Response: A Deep Learning and Retrieval-Augmented Generation Framework for Network Intrusion Mitigation

Machine-learning-based Intrusion Detection Systems IDS have achieved impressive accuracy in classifying network attacks, yet they consistently fall short on the question that matters most to a security analyst: what should I do next? This paper presents a unified, end-to-end framework that closes...

Devilray: A Systematic Adversarial Model Revealing Blind Spots in Fake Base Station Detection

Fake Base Station FBS detection has been a critical focus of cellular security research for over two decades. However, significant financial and regulatory barriers to accessing commercial FBS C-FBS devices have limited direct visibility into real-world operations, forcing detection systems to be...

Explainable Machine Learning for Phishing Detection on Heterogeneous Datasets with MCP-Enabled Deployment

With the growth in digital transformation and Internet usage, the Social Engineering techniques such as Phishing have become a major concern for the users and the organizations. Phishing attacks involve deceptive techniques to trick users into revealing confidential information that causes...

A No-Defense Defense against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?

Gradient-based adversarial attacks subtly manipulate inputs of Machine Learning ML models to induce incorrect predictions. This paper investigates whether careful architectural choices alone can yield an inherently robust Deep Neural Network DNN-based Network Intrusion Detection Systems NIDS,...

Three Heads Are Better Than One: A Multi-Perspective Reasoning Framework for Enhanced Vulnerability Detection

Automated vulnerability detection is crucial for enhancing software security by identifying potential flaws that attackers could exploit, thereby reducing the reliance on labor-intensive manual code audits. Recent advancements have shifted towards leveraging large language models LLMs for...

Federated Naive Bayes with Real Mixture of Gaussians and Institutional Governance Regularization for Network Intrusion Detection

Federated learning for intrusion detection rests on a flawed premise: that every participating institution contributes equally to the shared model. In practice, a financial institution with mature security controls and low vulnerability exposure produces fundamentally different data than a...

Exploit for CVE-2026-42945

CVE-2026-42945 NGINX Rift — defensive scanner Organizations...

Advance_WAF_project_CS

WAFinity - Infinite Protection, Intelligent Detection WAFin...

ADR: An Agentic Detection System for Enterprise Agentic AI Security

We present the Agentic AI Detection and Response ADR system, the first large-scale, production-proven enterprise framework for securing AI agents operating through the Model Context Protocol MCP. We identify three persistent challenges in this domain: 1 limited observability -- existing Endpoint...

Babl resource management error vulnerability

Babl is a GEGL open-source image processing library that supports high-performance pixel format conversion and image data processing. Version 0.1.62 of Babl contains a resource management vulnerability. This vulnerability stems from a failure in the double release detection mechanism. It could...

Integration of AI in Cybersecurity: Current Trends with a Focused Look at Intrusion Detection Applications

Artificial Intelligence AI is widely adopted today for its ability to detect patterns, automate tasks, and reduce time and cost across various applications. Its integration into Cybersecurity has garnered significant attention, particularly in areas such as intrusion detection, malware analysis,...

CVE-2026-45036

Tabby formerly Terminus is a highly configurable terminal emulator. Prior to 1.0.233, Tabby before 1.0.233 automatically confirms ZMODEM protocol detection on all terminal session output without user interaction, enabling shell command execution when a user displays attacker-controlled content. T...

Exploit for Server-Side Request Forgery in Vercel Next.Js

nextjs-cve-2026-44578 Nuclei templates for detecting...

EUVD-2026-30567

Tabby formerly Terminus is a highly configurable terminal emulator. Prior to 1.0.233, Tabby before 1.0.233 automatically confirms ZMODEM protocol detection on all terminal session output without user interaction, enabling shell command execution when a user displays attacker-controlled content. T...

CVE-2026-45036 Tabby auto-confirms ZMODEM detection on terminal output, leading to shell command execution from displayed file content under fish, bash, and zsh

Tabby formerly Terminus is a highly configurable terminal emulator. Prior to 1.0.233, Tabby before 1.0.233 automatically confirms ZMODEM protocol detection on all terminal session output without user interaction, enabling shell command execution when a user displays attacker-controlled content. T...

CVE-2026-45772 Turborepo: Unexpected local code execution during Yarn Berry detection

Turborepo is a high-performance build system for JavaScript and TypeScript codebases. From 1.1.0 to before 2.9.14, Turborepo can be vulnerable to arbitrary code execution when run in untrusted repositories that contain malicious Yarn configuration. In affected versions, package manager detection...

CVE-2026-45772 Turborepo: Unexpected local code execution during Yarn Berry detection

Turborepo is a high-performance build system for JavaScript and TypeScript codebases. From 1.1.0 to before 2.9.14, Turborepo can be vulnerable to arbitrary code execution when run in untrusted repositories that contain malicious Yarn configuration. In affected versions, package manager detection...