Linux Distros Unpatched Vulnerability : CVE-2019-11506

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In GraphicsMagick from version 1.3.30 to 1.4 snapshot-20190403 Q8, there is a heap-based buffer overflow in the function WriteMATLABImage of coders/mat.c, which...

ALSA-2025:14178 Important: tomcat9 security update

Tomcat is the servlet container that is used in the official Reference Implementation for the Java Servlet and JavaServer Pages technologies. The Java Servlet and JavaServer Pages specifications are developed by Sun under the Java Community Process. Tomcat is developed in an open and participator...

One-Class Intrusion Detection with Dynamic Graphs

With the growing digitalization all over the globe, the relevance of network security becomes increasingly important. Machine learning-based intrusion detection constitutes a promising approach for improving security, but it bears several challenges. These include the requirement to detect novel...

Data and Context Matter: Towards Generalizing AI-Based Software Vulnerability Detection

The performance of AI-based software vulnerability detection systems is often limited by their poor generalization to unknown codebases. In this research, we explore the impact of data quality and model architecture on the generalizability of vulnerability detection systems. By generalization we...

Incorporating Taxonomies of Cyber Incidents into Detection Networks for Improved Detection Performance

Many taxonomies exist to organize cybercrime incidents into ontological categories. We examine some of the taxonomies introduced in the literature; providing a framework, and analysis, of how best to leverage different taxonomy structures to optimize performance of detections targeting various...

Qualcomm WLAN Vulnerability - Lenovo Support US

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NVIDIA DOCA-Host and Mellanox OFED Advisory - July 2025 - Lenovo Support US

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Image Selective Encryption Analysis Using Mutual Information in CNN Based Embedding Space

As digital data transmission continues to scale, concerns about privacy grow increasingly urgent - yet privacy remains a socially constructed and ambiguously defined concept, lacking a universally accepted quantitative measure. This work examines information leakage in image data, a domain where...

Huawei EulerOS: Security Advisory for emacs (EulerOS-SA-2025-1854)

The remote host is missing an update for the Huawei EulerOS SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

Huawei EulerOS: Security Advisory for libxslt (EulerOS-SA-2025-1762)

The remote host is missing an update for the Huawei EulerOS SPDX-FileCopyrightText: 2025 Greenbone AG Some text descriptions might be excerpted from a referenced sources, and are Copyright C by the respective right holders. SPDX-License-Identifier: GPL-2.0-only ifdescription...

Exploit for Inclusion of Functionality from Untrusted Control Sphere in Sudo_Project Sudo

🚨 PoC: CVE-2025-32463 – Sudo chroot Escape Vulnerability A...

kernel: tty: tty_buffer: Fix the softlockup issue in flush_to_ldisc

In the Linux kernel, the following vulnerability has been resolved: tty: ttybuffer: Fix the softlockup issue in flushtoldisc When running ltp testcaseltp/testcases/kernel/pty/pty04.c with arm64, there is a soft lockup, which look like this one: Workqueue: eventsunbound flushtoldisc Call trace:...

KD-GAT: Combining Knowledge Distillation and Graph Attention Transformer for a Controller Area Network Intrusion Detection System

The Controller Area Network CAN protocol is widely adopted for in-vehicle communication but lacks inherent security mechanisms, making it vulnerable to cyberattacks. This paper introduces KD-GAT, an intrusion detection framework that combines Graph Attention Networks GATs with knowledge...

Learning to Locate: GNN-Powered Vulnerability Path Discovery in Open Source Code

Detecting security vulnerabilities in open-source software is a critical task that is highly regarded in the related research communities. Several approaches have been proposed in the literature for detecting vulnerable codes and identifying the classes of vulnerabilities. However, there is still...

OpenBlow Missing Headers

Multiple public deployments of the OpenBlow whistleblowing software lack critical HTTP security headers. These configurations expose users to client-side vulnerabilities including cross site scripting, clickjacking, API misuse, and referer leakage. Given the extreme sensitivity of users...

Image Can Bring Your Memory Back: a Novel Multi-Modal Guided Attack against Image Generation Model Unlearning

Whitepaper called Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack Against Image Generation Model Unlearning...

Consumer Beware! Exploring Data Brokers' CCPA Compliance

Data brokers collect and sell the personal information of millions of individuals, often without their knowledge or consent. The California Consumer Privacy Act CCPA grants consumers the legal right to request access to, or deletion of, their data. To facilitate these requests, California maintai...

Differentially Private Bilevel Optimization: Efficient Algorithms with Near-Optimal Rates

Whitepaper called Differentially Private Bilevel Optimization: Efficient Algorithms With Near-Optimal Rates...

Malware Classification Leveraging NLP and Machine Learning for Enhanced Accuracy

This paper investigates the application of natural language processing NLP-based n-gram analysis and machine learning techniques to enhance malware classification. We explore how NLP can be used to extract and analyze textual features from malware samples through n-grams, contiguous string or API...

ChineseHarm-Bench: a Chinese Harmful Content Detection Benchmark

Large language models LLMs have been increasingly applied to automated harmful content detection tasks, assisting moderators in identifying policy violations and improving the overall efficiency and accuracy of content review. However, existing resources for harmful content detection are...