7040 matches found
A Comparison of Selected Image Transformation Techniques for Malware Classification
Recently, a considerable amount of malware research has focused on the use of powerful image-based machine learning techniques, which generally yield impressive results. However, before image-based techniques can be applied to malware, the samples must be converted to images, and there is no...
ExploitNotes
It is an offline collection of notes and examples for exploit...
SQL-Injection-Scanner
SQL-Injection-Scanner The following program is an injection sc...
CVE-2025-58993
Improper Neutralization of Special Elements used in an SQL Command 'SQL Injection' vulnerability in Themeum Tutor LMS tutor allows SQL Injection.This issue affects Tutor LMS: from n/a through = 3.7.4...
SAGE: Sample-Aware Guarding Engine for Robust Intrusion Detection against Adversarial Attacks
The rapid proliferation of the Internet of Things IoT continues to expose critical security vulnerabilities, necessitating the development of efficient and robust intrusion detection systems IDS. Machine learning-based intrusion detection systems ML-IDS have significantly improved threat detectio...
Contrastive Self-Supervised Network Intrusion Detection Using Augmented Negative Pairs
Network intrusion detection remains a critical challenge in cybersecurity. While supervised machine learning models achieve state-of-the-art performance, their reliance on large labelled datasets makes them impractical for many real-world applications. Anomaly detection methods, which train...
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...
Malicious code in quant-learning (npm)
The package quant-learning was found to contain malicious code...
MAL-2025-45716 Malicious code in quant-learning (npm)
The package quant-learning was found to contain malicious code...
PT-2025-36249
Name of the Vulnerable Software and Affected Versions: MasterStudy LMS versions through 3.6.15 Description: The software contains a missing authorization flaw due to incorrectly configured access control security levels. Recommendations: Update MasterStudy LMS to a version later than 3.6.15...
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...
NVIDIA DGX和NVIDIA HGX 安全漏洞
NVIDIA DGX and NVIDIA HGX are both products of NVIDIA Corporation, U.S.A. NVIDIA DGX is a high-performance workstation for deep learning applications.NVIDIA HGX is a modular GPU acceleration platform. A security vulnerability exists in NVIDIA DGX and NVIDIA HGX that stems from an improperly...
A Framework for Detection and Classification of Attacks on Surveillance Cameras under IoT Networks
The increasing use of Internet of Things IoT devices has led to a rise in security related concerns regarding IoT Networks. The surveillance cameras in IoT networks are vulnerable to security threats such as brute force and zero-day attacks which can lead to unauthorized access by hackers and...
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...
Malicious code in python-dev-toolkit (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: kam193 3e8bbf18a10505977ab19adc6dd13d15e1c7df3c69391e1c930289b953619549 Installing packages exfiltrates data different in different packages and versions or run revshells --- Category: MALICIOUS - The campaign has clearly malicious...
MAL-2025-191839 Malicious code in python-dev-toolkit (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: kam193 3e8bbf18a10505977ab19adc6dd13d15e1c7df3c69391e1c930289b953619549 Installing packages exfiltrates data different in different packages and versions or run revshells --- Category: MALICIOUS - The campaign has clearly malicious...
CVE-2025-9786
A vulnerability was found in Campcodes Online Learning Management System 1.0. Affected is an unknown function of the file /teachersignup.php. Performing manipulation of the argument firstname results in sql injection. The attack can be initiated remotely. The exploit has been made public and coul...
Malicious code in learning-pypi-demo-nisimi (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: kam193 0b3a0d62b36ae3a2e643a327b7cf5b88366d4a8a89381eca570f34c453f1eaf4 Installing packages exfiltrates data different in different packages and versions or run revshells --- Category: MALICIOUS - The campaign has clearly malicious...
MAL-2025-47782 Malicious code in learning-pypi-demo-nisimi (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: kam193 0b3a0d62b36ae3a2e643a327b7cf5b88366d4a8a89381eca570f34c453f1eaf4 Installing packages exfiltrates data different in different packages and versions or run revshells --- Category: MALICIOUS - The campaign has clearly malicious...
Linux Distros Unpatched Vulnerability : CVE-2023-28334
The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - Authenticated users were able to enumerate other users' names via the learning plans page. CVE-2023-28334 Note that Nessus relies on the presence of the package...