CVE-2025-1325

The WP-Recall – Registration, Profile, Commerce & More plugin for WordPress is vulnerable to arbitrary shortcode execution due to a missing capability check on the 'rclpreviewpost' AJAX endpoint in all versions up to, and including, 16.26.10. This makes it possible for authenticated attackers, wi...

CVE-2025-1323

The WP-Recall – Registration, Profile, Commerce & More plugin for WordPress is vulnerable to SQL Injection via the 'databeat' parameter in all versions up to, and including, 16.26.10 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL...

Unity Linux 20.1060a / 20.1070a Security Update: kernel (UTSA-2025-993232)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2025-993232 advisory. In the Linux kernel, the following vulnerability has been resolved: nfsd: decrease sccount directly if fail to queue dlrecall A deadlock warning occurred when invoki...

Unity Linux 20.1060e / 20.1070e Security Update: kernel (UTSA-2025-992326)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2025-992326 advisory. In the Linux kernel, the following vulnerability has been resolved: nfsd: decrease sccount directly if fail to queue dlrecall A deadlock warning occurred when invoki...

Unity Linux 20.1060e / 20.1070e Security Update: kernel (UTSA-2025-992477)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2025-992477 advisory. In the Linux kernel, the following vulnerability has been resolved: nfsd: put dlstid if fail to queue dlrecall Before calling nfsd4runcb to queue dlrecall to the...

Beyond Single Bugs: Benchmarking Large Language Models for Multi-Vulnerability Detection

Large Language Models LLMs have demonstrated significant potential in automated software security, particularly in vulnerability detection. However, existing benchmarks primarily focus on isolated, single-vulnerability samples or function-level classification, failing to reflect the complexity of...

AutoDFBench 1.0: A Benchmarking Framework for Digital Forensic Tool Testing and Generated Code Evaluation

The National Institute of Standards and Technology NIST Computer Forensic Tool Testing CFTT programme has become the de facto standard for providing digital forensic tool testing and validation. However to date, no comprehensive framework exists to automate benchmarking across the diverse forensi...

Injecting Falsehoods: Adversarial Man-In-The-Middle Attacks Undermining Factual Recall in LLMs

LLMs are now an integral part of information retrieval. As such, their role as question answering chatbots raises significant concerns due to their shown vulnerability to adversarial man-in-the-middle MitM attacks. Here, we propose the first principled attack evaluation on LLM factual memory unde...

The king is dead, long live the king! Windows 10 EOL and Windows 11 forensic artifacts

Introduction Windows 11 was released a few years ago, yet it has seen relatively weak enterprise adoption. According to statistics from our Global Emergency Response Team GERT investigations, as recently as early 2025, we found that Windows 7, which reached end of support in 2020, was encountered...

EUVD-2024-54539

Malicious code in bioql PyPI...

EUVD-2025-6292

Malicious code in bioql PyPI...

EUVD-2024-54439

Malicious code in bioql PyPI...

EUVD-2024-30497

Malicious code in bioql PyPI...

EUVD-2025-28344

Malicious code in bioql PyPI...

EUVD-2025-17230

Malicious code in bioql PyPI...

EUVD-2024-35416

Malicious code in bioql PyPI...

EUVD-2025-19996

Malicious code in bioql PyPI...

EUVD-2025-13742

Malicious code in bioql PyPI...

EUVD-2024-30406

Malicious code in bioql PyPI...

A Non-Monotonic Relationship: an Empirical Analysis of Hybrid Quantum Classifiers for Unseen Ransomware Detection

Detecting unseen ransomware is a critical cybersecurity challenge where classical machine learning often fails. While Quantum Machine Learning QML presents a potential alternative, its application is hindered by the dimensionality gap between classical data and quantum hardware. This paper...