EUVD-2025-26661

Malicious code in bioql PyPI...

EUVD-2025-30904

Malicious code in bioql PyPI...

EUVD-2022-32854

Malicious code in bioql PyPI...

EUVD-2024-30357

Malicious code in bioql PyPI...

EUVD-2025-25355

Malicious code in bioql PyPI...

EUVD-2025-26134

Malicious code in bioql PyPI...

EUVD-2023-53170

Malicious code in bioql PyPI...

EUVD-2023-59824

Malicious code in bioql PyPI...

EUVD-2024-42927

Malicious code in bioql PyPI...

EUVD-2025-28966

Malicious code in bioql PyPI...

EUVD-2025-31137

Malicious code in bioql PyPI...

EUVD-2025-6494

Malicious code in bioql PyPI...

EUVD-2025-31000

Malicious code in bioql PyPI...

EUVD-2024-51590

Malicious code in bioql PyPI...

kernel-rt security update

An update is available for kernel-rt. This update affects Rocky Linux 8. A Common Vulnerability Scoring System CVSS base score, which gives a detailed severity rating, is available for each vulnerability from the CVE list The kernel-rt packages provide the Real Time Linux Kernel, which enables...

RLSA-2025:16373 Moderate: kernel-rt security update

The kernel-rt packages provide the Real Time Linux Kernel, which enables fine-tuning for systems with extremely high determinism requirements. Security Fixes: kernel: vsock: Fix transport TOCTOU CVE-2025-38461 For more details about the security issues, including the impact, a CVSS score,...

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...

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...

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...