325 matches found
GNN-Enhanced Traffic Anomaly Detection for Next-Generation SDN-Enabled Consumer Electronics
Consumer electronics CE connected to the Internet of Things are susceptible to various attacks, including DDoS and web-based threats, which can compromise their functionality and facilitate remote hijacking. These vulnerabilities allow attackers to exploit CE for broader system attacks while...
EUVD-2019-1443
Malware in sbrugna...
EUVD-2008-5750
Malware in sbrugna...
EUVD-2023-56488
Malicious code in bioql PyPI...
Adaptive Deception Framework with Behavioral Analysis for Enhanced Cybersecurity Defense
This paper presents CADL Cognitive-Adaptive Deception Layer, an adaptive deception framework achieving 99.88% detection rate with 0.13% false positive rate on the CICIDS2017 dataset. The framework employs ensemble machine learning Random Forest, XGBoost, Neural Networks combined with behavioral...
go-f3 Vulnerable to Cached Justification Verification Bypass
Description A vulnerability exists in go-f3's justification verification caching mechanism where verification results are cached without properly considering the context of the message. An attacker can bypass justification verification by: 1. First submitting a valid message with a correct...
Dual-Path Phishing Detection: Integrating Transformer-Based NLP with Structural URL Analysis
Phishing emails pose a persistent and increasingly sophisticated threat, undermining email security through deceptive tactics designed to exploit both semantic and structural vulnerabilities. Traditional detection methods, often based on isolated analysis of email content or embedded URLs, fail t...
A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks
The growing integration of drones into civilian, commercial, and defense sectors introduces significant cybersecurity concerns, particularly with the increased risk of network-based intrusions targeting drone communication protocols. Detecting and classifying these intrusions is inherently...
Malicious code in sapphire-forest-lht755-project (npm)
The package sapphire-forest-lht755-project was found to contain malicious code...
Malicious code in star-forest-wro395-project (npm)
The package star-forest-wro395-project was found to contain malicious code...
MAL-2025-46139 Malicious code in star-forest-wro395-project (npm)
The package star-forest-wro395-project was found to contain malicious code...
MAL-2025-45956 Malicious code in sapphire-forest-lht755-project (npm)
The package sapphire-forest-lht755-project was found to contain malicious code...
Hybrid Cryptographic Monitoring System for Side-Channel Attack Detection on PYNQ SoCs
AES-128 encryption is theoretically secure but vulnerable in practical deployments due to timing and fault injection attacks on embedded systems. This work presents a lightweight dual-detection framework combining statistical thresholding and machine learning ML for real-time anomaly detection. B...
Machine Learning-Based AES Key Recovery Via Side-Channel Analysis on the ASCAD Dataset
Cryptographic algorithms like AES and RSA are widely used and they are mathematically robust and almost unbreakable but its implementation on physical devices often leak information through side channels, such as electromagnetic EM emissions, potentially compromising said theoretically secure...
Malicious code in forest-infinity-zqx963-project (npm)
The package forest-infinity-zqx963-project was found to contain malicious code...
Malicious code in forest-wave-fzd599-project (npm)
The package forest-wave-fzd599-project was found to contain malicious code...
Malicious code in aroma-forest-lqc825-project (npm)
The package aroma-forest-lqc825-project was found to contain malicious code...
Malicious code in ant-forest-ucj519-project (npm)
The package ant-forest-ucj519-project was found to contain malicious code...