An Optimized Decision Tree-Based Framework for Explainable IoT Anomaly Detection

The increase in the number of Internet of Things IoT devices has tremendously increased the attack surface of cyber threats thus making a strong intrusion detection system IDS with a clear explanation of the process essential towards resource-constrained environments. Nevertheless, current IoT ID...

Exploit for CVE-2020-14979

Intel NUC WinRing0 Vulnerable Driver - Permanent Removal Guide...

ai_bouncer

AiBouncer AI-powered HTTP request classification for Ruby on...

Exploit for CVE-2025-36911

CVE-2025-36911 scanner Tests unauthenticated BR/EDR L2CAP con...

Hybrid IDS Using Signature-Based and Anomaly-Based Detection

Intrusion detection systems IDS are essential for protecting computer systems and networks against a wide range of cyber threats that continue to evolve over time. IDS are commonly categorized into two main types, each with its own strengths and limitations, such as difficulty in detecting...

Many Hands Make Light Work: An LLM-Based Multi-Agent System for Detecting Malicious PyPI Packages

Malicious code in open-source repositories such as PyPI poses a growing threat to software supply chains. Traditional rule-based tools often overlook the semantic patterns in source code that are crucial for identifying adversarial components. Large language models LLMs show promise for software...

Unity Linux 20.1050e / 20.1060e / 20.1070e Security Update: kernel (UTSA-2026-001190)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-001190 advisory. The vc4getbcl function in drivers/gpu/drm/vc4/vc4gem.c in the VideoCore DRM driver in the Linux kernel before 4.9.7 does not set an errno value upon certain overflow...

LoRA As Oracle

Backdoored and privacy-leaking deep neural networks pose a serious threat to the deployment of machine learning systems in security-critical settings. Existing defenses for backdoor detection and membership inference typically require access to clean reference models, extensive retraining, or...

Unity Linux 20.1070e Security Update: kernel (UTSA-2026-001551)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-001551 advisory. fs/nfs/nfs4client.c in the Linux kernel before 5.13.4 has incorrect connection-setup ordering, which allows operators of remote NFSv4 servers to cause a denial of...

MiracleLinux 4 : libvirt-0.10.2-29.5.0.1.AXS4 (AXSA:2014-076:01)

The remote MiracleLinux 4 host has packages installed that are affected by multiple vulnerabilities as referenced in the AXSA:2014-076:01 advisory. Libvirt is a C toolkit to interact with the virtualization capabilities of recent versions of Linux and other OSes. The main package includes the...

Multi-Agent Taint Specification Extraction for Vulnerability Detection

Static Application Security Testing SAST tools using taint analysis are widely viewed as providing higher-quality vulnerability detection results compared to traditional pattern-based approaches. However, performing static taint analysis for JavaScript poses two major challenges. First,...

Unity Linux 20.1060e / 20.1070e Security Update: kernel (UTSA-2026-003240)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-003240 advisory. The vc4getbcl function in drivers/gpu/drm/vc4/vc4gem.c in the VideoCore DRM driver in the Linux kernel before 4.9.7 does not set an errno value upon certain overflow...

Fedora: Security Advisory (FEDORA-2026-2ca69451b9)

The remote host is missing an update for the 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 ifdescription...

Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale

The rise of AI agent frameworks has introduced agent skills, modular packages containing instructions and executable code that dynamically extend agent capabilities. While this architecture enables powerful customization, skills execute with implicit trust and minimal vetting, creating a...

ScienceLogic Skylar One Detection

Binary data sciencelogicskylaronedetect.nbin...

Exploit for CVE-2025-64155

CVE-2025-64155 Scanner A Python scanner for detecting the com...

Exploit for Code Injection in Vmware Spring_Framework

CVE-2022-22965-Spring4Shell-Security-Operations-Analysis A com...

Exploit for CVE-2025-68428

🚨 jsPDF Bulk Detector – CVE-2025-68428 🚨 Asset-wide detecti...

A Novel Contrastive Loss for Zero-Day Network Intrusion Detection

Machine learning has achieved state-of-the-art results in network intrusion detection; however, its performance significantly degrades when confronted by a new attack class -- a zero-day attack. In simple terms, classical machine learning-based approaches are adept at identifying attack classes o...

Diffusion-Driven Deceptive Patches: Adversarial Manipulation and Forensic Detection in Facial Identity Verification

This work presents an end-to-end pipeline for generating, refining, and evaluating adversarial patches to compromise facial biometric systems, with applications in forensic analysis and security testing. We utilize FGSM to generate adversarial noise targeting an identity classifier and employ a...