EUVD-2024-33491

Malicious code in bioql PyPI...

EUVD-2022-25563

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EUVD-2023-1555

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EUVD-2024-20949

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EUVD-2021-27591

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EUVD-2024-42888

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EUVD-2022-4094

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EUVD-2021-6497

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EUVD-2022-25539

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EUVD-2024-25940

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EUVD-2024-1716

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EUVD-2024-41604

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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...

Unmasking Puppeteers: Leveraging Biometric Leakage to Disarm Impersonation in AI-Based Videoconferencing

AI-based talking-head videoconferencing systems reduce bandwidth by sending a compact pose-expression latent and re-synthesizing RGB at the receiver, but this latent can be puppeteered, letting an attacker hijack a victim's likeness in real time. Because every frame is synthetic, deepfake and...

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,...

A Statistical Method for Attack-Agnostic Adversarial Attack Detection with Compressive Sensing Comparison

Adversarial attacks present a significant threat to modern machine learning systems. Yet, existing detection methods often lack the ability to detect unseen attacks or detect different attack types with a high level of accuracy. In this work, we propose a statistical approach that establishes a...

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...

Microsoft named a Leader in the IDC MarketScape for XDR

When cybersecurity stakes are high and complexity is the norm, Microsoft doesn’t just participate, it excels with Microsoft Defender XDR—built to anticipate, disrupt, and outpace modern cyberthreats. We are excited to announce that Microsoft has been named a Leader in the IDC MarketScape: Worldwi...