ALPHA: LLM-Enabled Active Learning for Human-Free Network Anomaly Detection

Network log data analysis plays a critical role in detecting security threats and operational anomalies. Traditional log analysis methods for anomaly detection and root cause analysis rely heavily on expert knowledge or fully supervised learning models, both of which require extensive labeled dat...

Exploit for Deserialization of Untrusted Data in Siemens 6Bk1602-0Aa12-0Tp0_Firmware

This repository contains operational information regarding the vulnerability in the Log4j logging library CVE-2021-44228. The vulnerability allows an attacker to execute arbitrary code on a system by injecting malicious data into the logging system. The repository provides a list of known...

Exploit for Deserialization of Untrusted Data in Siemens 6Bk1602-0Aa12-0Tp0_Firmware

This repository is an operational information repository regarding the vulnerability in the Log4j logging library CVE-2021-44228. It contains information on Indicators of Compromise IoCs, detection rules, and scanning software related to the vulnerability. The repository is maintained by the...

maltrail

It is an offensive tool for network traffic analysis. The primary CVE ID is not present in the provided context, but the tool is designed to detect malicious traffic. The target product/service or framework is not explicitly stated, but it is likely a network traffic analysis system. The...

SUSE CVE-2025-39681

In the Linux kernel, the following vulnerability has been resolved: x86/cpu/hygon: Add missing resctrlcpudetect in bspinit helper Since 923f3a2b48bd "x86/resctrl: Query LLC monitoring properties once during boot" resctrlcpudetect has been moved from common CPU initialization code to the...

secrets-store-sync-controller discloses service account tokens in logs

Hello Kubernetes Community, A security issue was discovered in secrets-store-sync-controller where an actor with access to the controller logs could observe service account tokens. These tokens could then potentially be exchanged with external cloud providers to access secrets stored in cloud vau...

AZL-73692 CVE-2025-39681 affecting package kernel for versions less than 5.15.200.1-1

In the Linux kernel, the following vulnerability has been resolved: x86/cpu/hygon: Add missing resctrlcpudetect in bspinit helper Since 923f3a2b48bd "x86/resctrl: Query LLC monitoring properties once during boot" resctrlcpudetect has been moved from common CPU initialization code to the...

CVE-2025-39681

CVE-2025-39681 relates to the Linux kernel on x86 with Hygon CPUs. The root cause was a missing resctrl_cpu_detect() call in the Hygon BSP init path after resctrl_cpu_detect() was moved to vendor-specific init code. This caused a division-by-zero in get_rdt_mon_resources() during early boot due t...

Malicious code in palynology-galaxy-fusion-playwright (npm)

The package palynology-galaxy-fusion-playwright was found to contain malicious code...

OESA-2025-2112 aide security update

Security Fixes: A vulnerability was found in AIDE up to 0.19.1 and classified as problematic.Using CWE to declare the problem leads to CWE-117. The product does not neutralize or incorrectly neutralizes output that is written to logs.Impacted is integrity.Upgrading to version 0.19.2 eliminates th...

Wapiti Web Application Vulnerability Scanner 3.2.5

Wapiti is a web application vulnerability scanner. It will scan the web pages of a deployed web application and will fuzz the URL parameters and forms to find common web vulnerabilities. This is the binary release...

FuzzRDUCC: Fuzzing with Reconstructed Def-Use Chain Coverage

Binary-only fuzzing often struggles with achieving thorough code coverage and uncovering hidden vulnerabilities due to limited insight into a program's internal dataflows. Traditional grey-box fuzzers guide test case generation primarily using control flow edge coverage, which can overlook bugs n...

A Transformer-BiGRU-Based Framework with Data Augmentation and Confident Learning for Network Intrusion Detection

In today's fast-paced digital communication, the surge in network traffic data and frequency demands robust and precise network intrusion solutions. Conventional machine learning methods struggle to grapple with complex patterns within the vast network intrusion datasets, which suffer from data...

A Kolmogorov-Arnold Network for Interpretable Cyberattack Detection in AGC Systems

Automatic Generation Control AGC is essential for power grid stability but remains vulnerable to stealthy cyberattacks, such as False Data Injection Attacks FDIAs, which can disturb the system's stability while evading traditional detection methods. Unlike previous works that relied on blackbox...

What Is Cybersecurity in Space?

Satellites, drones, and 5G space links now support critical services such as air traffic, finance, and weather. Yet most were not built to resist modern cyber threats. Ground stations can be breached, GPS jammed, and supply chains compromised, while no shared list of vulnerabilities or safe testi...

Russian APT28 Deploys “NotDoor” Backdoor Through Microsoft Outlook

APT28 hackers deploy NotDoor backdoor via Microsoft Outlook macros, using OneDrive sideloading to steal data and evade detection...

Exploit for Out-of-bounds Write in Vmware Cloud_Foundation

CVE-2021-21974 Vulnerability Detector A Python-based security...

Exploit for CVE-2025-23266

cve-2025-23266-migration-bypass cve...

PCI: pnv_php: Fix surprise plug detection and recovery

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Quantum AI Algorithm Development for Enhanced Cybersecurity: a Hybrid Approach to Malware Detection

This study explores the application of quantum machine learning QML algorithms to enhance cybersecurity threat detection, particularly in the classification of malware and intrusion detection within high-dimensional datasets. Classical machine learning approaches encounter limitations when dealin...