Lightweight Cluster-Based Federated Learning for Intrusion Detection in Heterogeneous IoT Networks

The rise of heterogeneous Internet of Things IoT devices has raised security concerns due to their vulnerability to cyberattacks. Intrusion Detection Systems IDS are crucial in addressing these threats. Federated Learning FL offers a privacy-preserving solution, but IoT heterogeneity and limited...

Unknown Attack Detection in IoT Networks Using Large Language Models: A Robust, Data-Efficient Approach

The rapid evolution of cyberattacks continues to drive the emergence of unknown zero-day threats, posing significant challenges for network intrusion detection systems in Internet of Things IoT networks. Existing machine learning and deep learning approaches typically rely on large labeled...

MalTool: Malicious Tool Attacks on LLM Agents

In a malicious tool attack, an attacker uploads a malicious tool to a distribution platform; once a user installs the tool and the LLM agent selects it during task execution, the tool can compromise the user's security and privacy. Prior work primarily focuses on manipulating tool names and...

The strategic SIEM buyer’s guide: Choosing an AI-ready platform for the agentic era

As the agentic era reshapes security operations, leaders face a strategic inflection point: legacy security information and event management SIEM solutions and fragmented toolchains can no longer keep pace with the scale, speed, and complexity of modern cyberthreats. Organizations can choose to...

Malwarebytes earns PCMag Best Tech Brand spot, scores 100% with MRG Effitas

Malwarebytes is on a roll. Recently named one of PCMag's “Best Tech Brands for 2026,” Malwarebytes also scored 100% on the first-ever MRG Effitas consumer security product test, cementing the fact that we are loved by users and trusted by experts. But don’t take our word for it. As PCMag Principa...

Agentic Knowledge Distillation: Autonomous Training of Small Language Models for SMS Threat Detection

SMS-based phishing smishing attacks have surged, yet training effective on-device detectors requires labelled threat data that quickly becomes outdated. To deal with this issue, we present Agentic Knowledge Distillation, which consists of a powerful LLM acts as an autonomous teacher that fine-tun...

VulReaD: Knowledge-Graph-Guided Software Vulnerability Reasoning and Detection

Software vulnerability detection SVD is a critical challenge in modern systems. Large language models LLMs offer natural-language explanations alongside predictions, but most work focuses on binary evaluation, and explanations often lack semantic consistency with Common Weakness Enumeration CWE...

SecureScan: An AI-Driven Multi-Layer Framework for Malware and Phishing Detection Using Logistic Regression and Threat Intelligence Integration

The growing sophistication of modern malware and phishing campaigns has diminished the effectiveness of traditional signature-based intrusion detection systems. This work presents SecureScan, an AI-driven, triple-layer detection framework that integrates logistic regression-based classification,...

From Ransomware to Residency: Inside the Rise of the Digital Parasite

Are ransomware and encryption still the defining signals of modern cyberattacks, or has the industry been too fixated on noise while missing a more dangerous shift happening quietly all around them? According to Picus Labs’ new Red Report 2026, which analyzed over 1.1 million malicious files and...

A Proactive Guide to Continuous Monitoring & Threat Detection

You’ve invested in a full stack of security tools, but how can you be sure they’re configured correctly and will actually work during an attack? Waiting for a real incident to test your defenses is a risk no one wants to take. This is why validating your security posture is so critical. It’s abou...

Exploit for PHP Remote File Inclusion in Synacor Zimbra_Collaboration_Suite

CVE-2025-68645 — Zimbra Classic UI LFI Defender Pack This r...

[SECURITY] Fedora 43 Update: rust-ambient-id-0.0.8-1.fc43

Detects ambient OIDC credentials in a variety of environments...

SecCodePRM: A Process Reward Model for Code Security

Large Language Models are rapidly becoming core components of modern software development workflows, yet ensuring code security remains challenging. Existing vulnerability detection pipelines either rely on static analyzers or use LLM/GNN-based detectors trained with coarse program-level...

LLM-FS: Zero-Shot Feature Selection for Effective and Interpretable Malware Detection

Feature selection FS remains essential for building accurate and interpretable detection models, particularly in high-dimensional malware datasets. Conventional FS methods such as Extra Trees, Variance Threshold, Tree-based models, Chi-Squared tests, ANOVA, Random Selection, and Sequential...

The Role of Learning in Attacking Intrusion Detection Systems

Recent work on network attacks have demonstrated that ML-based network intrusion detection systems NIDS can be evaded with adversarial perturbations. However, these attacks rely on complex optimizations that have large computational overheads, making them impractical in many real-world settings. ...

When SPNs Go Rogue: Detection and Remediation with Trellix NDR

When SPNs Go Rogue: Detection and Remediation with Trellix NDR By Maulik Maheta and Henry Bernabe · February 10, 2026 Executive summary Service Principal Names SPNs are essential for Kerberos authentication in Active Directory AD, but misconfigurations, such as assigning SPNs to standard user...

Empirical Evaluation of SMOTE in Android Malware Detection with Machine Learning: Challenges and Performance in CICMalDroid 2020

Malware, malicious software designed to damage computer systems and perpetrate scams, is proliferating at an alarming rate, with thousands of new threats emerging daily. Android devices, prevalent in smartphones, smartwatches, tablets, and IoTs, represent a vast attack surface, making malware...

8 Top MDR Providers for Mid-Market Companies

Top 8 MDR providers for mid-market firms needing expert detection, faster response, and reduced noise without building full in-house SOCs...

Exploit for SQL Injection in Joomla Joomla\!

CVE-2017-8917 Joomla SQLi PoC This repository contains a simp...

Evasion of IoT Malware Detection Via Dummy Code Injection

The Internet of Things IoT has revolutionized connectivity by linking billions of devices worldwide. However, this rapid expansion has also introduced severe security vulnerabilities, making IoT devices attractive targets for malware such as the Mirai botnet. Power side-channel analysis has...