CVE-2026-22332

Unauthenticated SQL Injection in Tutor LMS Pro = 3.9.6 versions...

Lifecycle-Aware Dynamic Analysis for Secure ML Model Execution

The growing reliance on pre-trained Machine Learning ML models has introduced new attack surfaces. Recent vulnerabilities demonstrate that malicious behavior can be embedded within model artifacts, often bypassing existing defenses. Current model-scanning solutions primarily rely on static,...

Exploit for CVE-2026-20262

cve-id ⚡ Simple Usage Use this project only in safe and...

EUVD-2026-36957

Unauthenticated Broken Access Control in Masteriyo - LMS = 2.1.5 versions...

CVE-2026-42743

Unauthenticated Broken Authentication in Masteriyo - LMS = 2.1.8 versions...

CVE-2026-40766

Subscriber SQL Injection in MasterStudy LMS = 3.7.25 versions...

CVE-2026-42743 WordPress Masteriyo - LMS plugin <= 2.1.8 - Broken Authentication vulnerability

Unauthenticated Broken Authentication in Masteriyo - LMS = 2.1.8 versions...

EUVD-2026-36837

Unauthenticated Broken Authentication in Masteriyo - LMS = 2.1.8 versions...

CVE-2026-42743

The CVE concerns WordPress Masteriyo LMS plugin versions ≤ 2.1.8 with an Unauthenticated Broken Authentication vulnerability. Impact is described as low confidentiality and integrity (CVSS v3.1: 6.5, MEDIUM). The issue is in Masteriyo-LMS prior to or at 2.1.8, enabling access without authenticati...

EUVD-2025-210138

Missing Authorization vulnerability in StylemixThemes MasterStudy LMS Pro allows Accessing Functionality Not Properly Constrained by ACLs. This issue affects MasterStudy LMS Pro: from n/a before 4.7.16...

Scalable Malware Family Classification Using Quantum Kernel Based Machine Learning

The classification of malware families is a key challenge in cybersecurity, which enables threat attribution, analysis of attack operations, and the formulation of effective defense strategies. Emerging malware samples are becoming increasingly structurally similar and obfuscated, making accurate...

Transferable Self-Evolving Playbooks for Agentic Security Auditing

An LLM agent for vulnerability discovery and validation is more than a model. It combines three components: an LLM for code analysis, an agent harness such as Codex or OpenCode for navigation, tool use, and execution, and an audit playbook, domain-specific procedural knowledge that guides the LLM...

PT-2026-49411

Subscriber SQL Injection in MasterStudy LMS = 3.7.25 versions...

Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning

Prior research suggests that differential privacy DP inherently enhances the robustness of federated learning FL against backdoor attacks. In this paper, we challenge this assumption. Through an empirical analysis of two baseline attack strategies, we uncover a fundamental tension in DP-FL: while...

Binary Decompilation LLM with Feedback-Driven Multi-Turn Refinement

Binary decompilation is fundamental to security tasks such as vulnerability discovery, malware inspection, and executable-only program understanding. Recent LLM-based decompilation methods have shown promising results, but most still follow a single-turn generation paradigm: given assembly code o...

LLM: LSTM Look-Ahead Moving Target Defense Based on Historical Malicious Scan

Network scanning is a critical preliminary step for most adversaries to gain essential information before launching cyber attacks. Moving Target Defense MTD based on IP shuffling has emerged as a proactive defense strategy to counteract these reconnaissance efforts. Unlike static, reactive defens...

Safety-Contract Graph Multi-Agent Reinforcement Learning for Autonomous Network Security Response

Autonomous network-security response systems promise to reduce Security Operations Centre SOC reaction latency, but reward-only multi-agent reinforcement learning MARL can improve security reward while remaining non-deployable. We present a safety-contract graph MARL framework and instantiate it ...

ViPER: Vision-Based Packing-Aware Encoder for Robust Malware Detection

Visualization-based malware detection maps raw binary bytes to grayscale images and applies learned visual classifiers, providing an evasion-resistant and disassembly-free alternative to conventional analysis pipelines. However, executable packing remains a critical failure mode: packed binaries...

SwarmSense-DNN: A Trustworthy and Decentralized Neural Framework for Proactive Anomaly Defense in Consumer IoT

The rapid growth of consumer IoT devices has introduced unprecedented challenges in trustworthy anomaly detection against AI-enabled cyber threats, requiring real-time, privacy-preserving, and scalable defense mechanisms. Traditional centralized strategies face critical limitations, including...

Frappe Learning Management System injection vulnerability

Frappe Learning Management System is an easy-to-use open-source learning management system developed by Frappe. Versions of the Frappe Learning Management System prior to 2.53.0 had a injection vulnerability. This vulnerability allowed authenticated users to provide malicious content in certain...