MAL-2026-12024 Malicious code in @keyv/test-suite (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 710c3cc7a3215d4a3bfa506c57bf04ffc7973d33da9dca652060a6bf1d0a4856 @keyv/test-suite is a shared test harness used by keyv storage adapter packages. No install-time lifecycle hooks, remote fetches, credential reads,...

CVE-2026-64562

In the Linux kernel, the following vulnerability has been resolved: KVM: nVMX: Hide shadow VMCS right after VMCLEAR freenested frees the shadow VMCS while vmcs01 still points to it. But because it is asynchronous with respect to loadedvmcsclear, the vCPU might migrate before the pointer is cleare...

UBUNTU-CVE-2026-64562

In the Linux kernel, the following vulnerability has been resolved: KVM: nVMX: Hide shadow VMCS right after VMCLEAR freenested frees the shadow VMCS while vmcs01 still points to it. But because it is asynchronous with respect to loadedvmcsclear, the vCPU might migrate before the pointer is cleare...

CVE-2026-64562

In the Linux kernel, the following vulnerability has been resolved: KVM: nVMX: Hide shadow VMCS right after VMCLEAR freenested frees the shadow VMCS while vmcs01 still points to it. But because it is asynchronous with respect to loadedvmcsclear, the vCPU might migrate before the pointer is cleare...

EUVD-2026-52603

In the Linux kernel, the following vulnerability has been resolved: KVM: nVMX: Hide shadow VMCS right after VMCLEAR freenested frees the shadow VMCS while vmcs01 still points to it. But because it is asynchronous with respect to loadedvmcsclear, the vCPU might migrate before the pointer is cleare...

CVE-2026-64562 KVM: nVMX: Hide shadow VMCS right after VMCLEAR

In the Linux kernel, the following vulnerability has been resolved: KVM: nVMX: Hide shadow VMCS right after VMCLEAR freenested frees the shadow VMCS while vmcs01 still points to it. But because it is asynchronous with respect to loadedvmcsclear, the vCPU might migrate before the pointer is cleare...

CVE-2026-16792: Improper Certificate Validation

An improper certificate validation vulnerability was reported in multiple Lenovo XClarity Orchestrator LXCO 2.2.0 microservices that could allow an adjacent network attacker to intercept sensitive communications by performing a machine-in-the-middle attack against HTTPS connections during TLS...

ShielDroid: A Hybrid Approach Integrating Machine and Deep Learning for Android Malware Detection

The rapid advancement of modern technology has led to a significant increase in the use of smart devices, such as smartphones and tablets, resulting in the widespread adoption of mobile applications. Although applications are required to undergo malware screening before being published on officia...

PT-2026-67824

Name of the Vulnerable Software and Affected Versions Lenovo XClarity Orchestrator LXCO version 2.2.0 Description Multiple microservices contain an improper certificate validation flaw. This allows an attacker on the same network to perform a machine-in-the-middle attack against HTTPS connections...

Malicious code in beaver-ui-layout (npm)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 465b05640a3068a007c565655d946564a39211eeca92f8637b7c3b4fe9c9dece The package is advertised as a React UI layout library but on require'beaver-ui-layout' loads bridge.js, which reconstructs hostnames from array-join...

Exploit for Injection in Vm2_Project Vm2

Hack The Box — Codify Writeup !Difficultyhttps://img.shiel...

Linux kernel MRP: vector attribute parsing errors break applicant state handling

Linux kernel MRP: vector attribute parsing errors break applicant state handling Vulnerability Overview The Linux kernel MRP IEEE 802.1 Multiple Registration Protocol PDU parser mishandles zero-length vector attributes, event counts and attribute-value advancement in mrppduparsevecattr, breaking...

A Multi-Objective AutoML-Based Efficient Intrusion Detection System for EV Charging Networks

Electric Vehicle Charging Systems EVCSs are increasingly connected with Internet of Things IoT devices, which improves charging intelligence but also expands their exposure to cyber-attacks. Intrusion Detection Systems IDSs are essential for securing EV charging networks; however, conventional...

SparSEEty: Extracting Tokens from Sparsity-Exploiting LLM Serving Systems Via Deterministic Side Channels

Modern large language models LLMs exhibit activation sparsity, wherein only a subset of their neurons is activated for given input tokens. Researchers have leveraged this property to optimize LLM serving systems by omitting weight accesses and computations pertaining to inactive neurons...

Virtuozzo Infrastructure 7.4 Hotfix 1 (7.4.0-75)

This update provides stability fixes. Vulnerability id: VSTOR-102068, VSTOR-102069, VSTOR-138302 Creating a VM in a server group could fail with "No valid host found" because a previously canceled or failed VM remained in the server group. Vulnerability id: VSTOR-120923 VPN could stop working whe...

hexora v0.3.1

hexora Hexora is a static analysis tool designed to detect malicious and harmful patterns in Python code. It combines a rule-based static analysis engine with a machine-learned model that scores entire source files to classify them as malicious or benign. It can be used to: Audit project...

CVE-2026-68578

ArcadeDB versions before 26.7.3 fail to bind the authenticated principal in the MCP HTTP transport, causing all engine permission checks to silently pass as no-ops. Non-root MCP-allowed users can perform arbitrary database writes, DDL, schema mutations, and execute arbitrary JavaScript code via t...

MINI-V3VM-4RG2-VPRV

Bulletin has no description...

Performance Analysis of Machine Learning Algorithms for Predicting Malware

Malware poses a persistent and evolving threat to modern computing systems, making accurate and timely detection a critical cybersecurity challenge. Traditional signature-based antivirus solutions often fail to identify newly emerging malware, leaving systems vulnerable until updated signatures...

On the Performance of Malware Detection Classifiers Using Hardware Performance Counters

Malware detection using Hardware Performance Counters HPC has emerged as a promising solution to improve the security of computing systems as a complement to antivirus software. Hardware-based malware detectors HMD use Machine Learning ML classifiers to detect malicious application patterns. The...