EUVD-2023-32603

Malicious code in bioql PyPI...

EUVD-2022-7775

Malicious code in bioql PyPI...

EUVD-2024-52826

Malicious code in bioql PyPI...

EUVD-2024-41604

Malicious code in bioql PyPI...

EUVD-2024-25940

Malicious code in bioql PyPI...

EUVD-2024-36467

Malicious code in bioql PyPI...

EUVD-2025-10710

Malicious code in bioql PyPI...

RLSA-2025:14592 Important: aide security update

Advanced Intrusion Detection Environment AIDE is a utility that creates a database of files on the system, and then uses that database to ensure file integrity and detect system intrusions. Security Fixes: aide: improper output neutralization enables bypassing CVE-2025-54389 For more details abou...

A Lightweight Federated Learning Approach for Privacy-Preserving Botnet Detection in IoT

The rapid growth of the Internet of Things IoT has expanded opportunities for innovation but also increased exposure to botnet-driven cyberattacks. Conventional detection methods often struggle with scalability, privacy, and adaptability in resource-constrained IoT environments. To address these...

A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks

The growing integration of drones across commercial, industrial, and civilian domains has introduced significant cybersecurity challenges, particularly due to the susceptibility of drone networks to a wide range of cyberattacks. Existing intrusion detection mechanisms often lack the adaptability,...

CST-AFNet: A Dual Attention-Based Deep Learning Framework for Intrusion Detection in IoT Networks

The rapid expansion of the Internet of Things IoT has revolutionized modern industries by enabling smart automation and real time connectivity. However, this evolution has also introduced complex cybersecurity challenges due to the heterogeneous, resource constrained, and distributed nature of...

SUSE CVE-2025-59147

Suricata is a network IDS, IPS and NSM engine developed by the OISF Open Information Security Foundation and the Suricata community. Versions 7.0.11 and below, as well as 8.0.0, are vulnerable to detection bypass when crafted traffic sends multiple SYN packets with different sequence numbers with...

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...

CVE-2025-59147

Suricata is a network IDS, IPS and NSM engine developed by the OISF Open Information Security Foundation and the Suricata community. Versions 7.0.11 and below, as well as 8.0.0, are vulnerable to detection bypass when crafted traffic sends multiple SYN packets with different sequence numbers with...

Suricata 安全特征问题漏洞

Suricata is a network IDS, IPS and NSM engine from the Open Information Security Foundation. A security signature issue vulnerability exists in Suricata versions 7.0.11 and earlier and 8.0.0, which stems from a failure to properly recognize TCP sessions when processing specially crafted traffic,...

AutoML in Cybersecurity: An Empirical Study

Automated machine learning AutoML has emerged as a promising paradigm for automating machine learning ML pipeline design, broadening AI adoption. Yet its reliability in complex domains such as cybersecurity remains underexplored. This paper systematically evaluates eight open-source AutoML...

Towards Adapting Federated and Quantum Machine Learning for Network Intrusion Detection: a Survey

This survey explores the integration of Federated Learning FL with Network Intrusion Detection Systems NIDS, with particular emphasis on deep learning and quantum machine learning approaches. FL enables collaborative model training across distributed devices while preserving data privacy-a critic...

ConCap: Practical Network Traffic Generation for Flow-Based Intrusion Detection Systems

Network Intrusion Detection Systems NIDS have been studied in research for almost four decades. Yet, despite thousands of papers claiming scientific advances, a non-negligible number of recent works suggest that the findings of prior literature may be questionable. At the root of such a...

Suricata IDPE 8.0.1

Suricata is a network intrusion detection and prevention engine developed by the Open Information Security Foundation and its supporting vendors. The engine is multi-threaded and has native IPv6 support. It's capable of loading existing Snort rules and signatures and supports the Barnyard and...

Hybrid Deep Learning-Federated Learning Powered Intrusion Detection System for IoT/5G Advanced Edge Computing Network

The exponential expansion of IoT and 5G-Advanced applications has enlarged the attack surface for DDoS, malware, and zero-day intrusions. We propose an intrusion detection system that fuses a convolutional neural network CNN, a bidirectional LSTM BiLSTM, and an autoencoder AE bottleneck within a...