Privacy-Aware Machine Unlearning with SISA for Reinforcement Learning-Based Ransomware Detection

Ransomware detection systems increasingly rely on behavior-based machine learning to address evolving attack strategies. However, emerging privacy compliance, data governance, and responsible AI deployment demand not only accurate detection but also the ability to efficiently remove the influence...

QUACK! Making the (Rubber) Ducky Talk: A Systematic Study of Keystroke Dynamics for HID Injection Detection

Modern computing systems inherently trust human input devices, creating an exploitable attack surface for adversarial automation. USB Human Interface Device HID emulation attacks, such as those enabled by the USB Rubber Ducky, exploit this assumption to inject arbitrary keystroke sequences while...

Eclipse Che Machine-Exec WebSocket Service Exposure Detector

This Python script is a lightweight security detection tool designed to identify potentially exposed or misconfigured machine-exec WebSocket services associated with Eclipse Che running on port 3333...

[SECURITY] Fedora 44 Update: kf6-kidletime-6.25.0-1.fc44

KDE Frameworks 6 Tier 1 integration module for idle time detection...

cve-deep-dives

CVE Deep-Dives In-depth technical analyses of significant v...

Securing AI Applications From Inception to Deployment

Extending the Wiz AI APP into the code layer to detect AI-specific risks at inception, validate exploitability at runtime, and orchestrate remediation with agents that understand your codebase...

D-Link DI-8003 Buffer Overflow Vulnerability (CNVD-2026-19420)

The D-Link DI-8003 is a wireless router from China-based AUO D-Link. The D-Link DI-8003 suffers from a buffer overflow vulnerability caused by incorrect boundary checking in the wanlinedetection.asp script, which can be exploited by an attacker to cause a denial of service...

MLDAS: Machine Learning Dynamic Algorithm Selection for Software-Defined Networking Security

Network security is a critical concern in the digital landscape of today, with users demanding secure browsing experiences and protection of their personal data. This study explores the dynamic integration of Machine Learning ML algorithms with Software-Defined Networking SDN controllers to enhan...

Microsoft Windows Server Domain Role Detection

SMB-login based domain role detection with powershell fallback for Windows Server. SPDX-FileCopyrightText: 2026 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescriptio...

Half-Moon Cookie: Private, Similarity-Based Blocklisting with TOCTOU-Attack Resilience

Blocklisting is a common technique for preventing the use of known malicious content. However, conventional blocklisting infrastructures require either the blocklist to be public or clients to reveal their queries to the blocklist server. In this work, we introduce a private blocklisting framewor...

Qualys VMDR and TotalCloud™ Now Available on Oracle Cloud Marketplace

Key Takeaways Qualys VMDR and TotalCloud are now available on the Oracle Cloud Marketplace, simplifying procurement and deployment for Oracle Cloud Infrastructure OCI customers. Organizations can deploy security faster with native OCI integration and one-click provisioning. The combined platform...

CVE-2026-40386

creationtimestamp| type| source ---|---|--- 2026-04-15 00:01:48+00:00| seen| https://bsky.app/profile/slackers.it/post/3mjilq2wm3u2n...

Tripp Lite Active Devices Detection

The current plugin identifies Tripp Lite devices that are still under active support. Tripp Lite Lifecycle Statuses: - Active: Product is currently available and supported. - Discontinued: Product no longer manufactured or procured. %NASLMINLEVEL 80900 C Tenable Network Security, Inc...

Robustness Analysis of Machine Learning Models for IoT Intrusion Detection under Data Poisoning Attacks

Ensuring the reliability of machine learning-based intrusion detection systems remains a critical challenge in Internet of Things IoT environments, particularly as data poisoning attacks increasingly threaten the integrity of model training pipelines. This study evaluates the susceptibility of fo...

VeriCWEty: Embedding Enabled Line-Level CWE Detection in Verilog

Large Language Models LLMs have shown significant improvement in RTL code generation. Despite the advances, the generated code is often riddled with common vulnerabilities and weaknesses CWEs that can slip by untrained eyes. Attackers can often exploit these weaknesses to fulfill their nefarious...

Exploit for Use After Free in Adobe Acrobat_Dc

CVE-2020-9715 EDR Validation PoC Use-after-free in Adobe Acro...

Your Cloud Detection Strategy in 2026: What to Expect at the Global Cybersecurity Summit

Cloud environments have changed how security teams detect and respond to threats. Signals come from more places, identities are harder to track, and attacks rarely stay within a single system. For many teams, the challenge is no longer visibility. It is having the risk context to understand what...

ai-pentest-agent

🔐 AI Pentest Agent v4 Automated web application penetration...

Security and Resilience in Autonomous Vehicles: A Proactive Design Approach

Autonomous vehicles AVs promise efficient, clean and cost-effective transportation systems, but their reliance on sensors, wireless communications, and decision-making systems makes them vulnerable to cyberattacks and physical threats. This chapter presents novel design techniques to strengthen t...

DCSync Detection Without Signatures: Trellix NDR and the Power of Technique-Based Defense

DCSync Detection Without Signatures: Trellix NDR and the Power of Technique-Based Defense By Maulik Maheta and Chao Sun · April 14, 2026 Executive summary A DCSync attack is one of the most formidable techniques an adversary can deploy after gaining a foothold in an Active Directory AD environmen...