UBUNTU-CVE-2022-50049

In the Linux kernel, the following vulnerability has been resolved: ASoC: DPCM: Don't pick up BE without substream When DPCM tries to add valid BE connections at dpcmaddpaths, it doesn't check whether the picked BE actually supports for the given stream direction. Due to that, when an asymmetric ...

CVE-2022-49948

CVE-2022-49948 affects the Linux kernel VT subsystem. When changing the console font via ioctl(KDFONTOP), the new font size may exceed the previous screen, potentially making a prior selection fall outside the new viewport and cause out-of-bounds accesses to graphics memory if the selection is re...

CVE-2022-49948

In the Linux kernel, the following vulnerability has been resolved: vt: Clear selection before changing the font When changing the console font with ioctlKDFONTOP the new font size can be bigger than the previous font. A previous selection may thus now be outside of the new screen size and thus...

Efficient Malware Detection with Optimized Learning on High-Dimensional Features

Malware detection using machine learning requires feature extraction from binary files, as models cannot process raw binaries directly. A common approach involves using LIEF for raw feature extraction and the EMBER vectorizer to generate 2381-dimensional feature vectors. However, the high...

Linux kernel 安全漏洞

Linux kernel is the kernel used by Linux, the open source operating system of the Linux Foundation in the United States. A security vulnerability exists in the Linux kernel that stems from writing native chip select content to GPIO chip select, which could lead to out-of-bounds access...

LLMs Cannot Reliably Judge (Yet?): a Comprehensive Assessment on the Robustness of LLM-As-A-Judge

Large Language Models LLMs have demonstrated remarkable intelligence across various tasks, which has inspired the development and widespread adoption of LLM-as-a-Judge systems for automated model testing, such as red teaming and benchmarking. However, these systems are susceptible to adversarial...

The Rabin Cryptosystem over Number Fields

We extend Rabin's cryptosystem to general number fields. We show that decryption of a random plaintext is as hard as the integer factorisation problem, provided the modulus in our scheme has been chosen carefully. We investigate the performance of our new cryptosystem in comparison with the...

PT-2025-27693

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: A race condition has been identified in the Linux kernel's ETS Enhanced Transmission Selection component. This issue occurs when the SFQ perturb timer fires at an inappropriate time,...

CVE-2025-40661

An Insecure Direct Object Reference IDOR vulnerability has been found in DM Corporative CMS. This vulnerability allows an attacker to access the private area setting the option parameter equal to 0, 1 or 2 in /administer/selectionnode/selection.asp...

CVE-2025-40659

An Insecure Direct Object Reference IDOR vulnerability has been found in DM Corporative CMS. This vulnerability allows an attacker to access the private area setting the option parameter equal to 0, 1 or 2 in /administer/selectionnode/framesSelectionNetworks.asp...

Security update for xen

This update for xen fixes the following issues: CVE-2024-28956: Fixed Intel CPU: Indirect Target Selection ITS XSA-469 bsc1243117 CVE-2024-53241: Fixed Xen hypercall page unsafe against speculative attacks XSA-466 bsc1234282 CVE-2025-1713: Fixed deadlock potential with VT-d and legacy PCI device...

Security update for xen

This update for xen fixes the following issues: CVE-2024-28956: Fixed Intel CPU: Indirect Target Selection ITS XSA-469 bsc1243117 CVE-2024-53241: Fixed Xen hypercall page unsafe against speculative attacks XSA-466 bsc1234282 CVE-2025-1713: Fixed deadlock potential with VT-d and legacy PCI device...

Dmacroweb DM Corporative CMS 安全漏洞

Dmacroweb DM Corporative CMS is a content management system from the Spanish company Dmacroweb. Dmacroweb DM Corporative CMS suffers from an insecure direct object reference vulnerability, which originates from the parameter option in the file /administer/selectionnode/selection.asp that fails to...

Oracle Linux 9 : Unbreakable Enterprise kernel (ELSA-2025-20368)

The remote Oracle Linux 9 host has packages installed that are affected by a vulnerability as referenced in the ELSA-2025-20368 advisory. - selftest/x86/bugs: Add selftests for ITS Pawan Gupta Orabug: 37945459 CVE-2024-28956 - x86/its: Align RETs in BHB clear sequence to avoid thunking Pawan Gupt...

MalGEN: a Generative Agent Framework for Modeling Malicious Software in Cybersecurity

The dual use nature of Large Language Models LLMs presents a growing challenge in cybersecurity. While LLM enhances automation and reasoning for defenders, they also introduce new risks, particularly their potential to be misused for generating evasive, AI crafted malware. Despite this emerging...

Explainable AI for Enhancing IDS against Advanced Persistent Kill Chain

Advanced Persistent Threats APTs represent a sophisticated and persistent cy-bersecurity challenge, characterized by stealthy, multi-phase, and targeted attacks aimed at compromising information systems over an extended period. Develop-ing an effective Intrusion Detection System IDS capable of...

Urania: Differentially Private Insights into AI Use

We introduce $Urania$, a novel framework for generating insights about LLM chatbot interactions with rigorous differential privacy DP guarantees. The framework employs a private clustering mechanism and innovative keyword extraction methods, including frequency-based, TF-IDF-based, and LLM-guided...

QA-HFL: Quality-Aware Hierarchical Federated Learning for Resource-Constrained Mobile Devices with Heterogeneous Image Quality

This paper introduces QA-HFL, a quality-aware hierarchical federated learning framework that efficiently handles heterogeneous image quality across resource-constrained mobile devices. Our approach trains specialized local models for different image quality levels and aggregates their features...

A Systematic Review of Metaheuristics-Based and Machine Learning-Driven Intrusion Detection Systems in IoT

The widespread adoption of the Internet of Things IoT has raised a new challenge for developers since it is prone to known and unknown cyberattacks due to its heterogeneity, flexibility, and close connectivity. To defend against such security breaches, researchers have focused on building...

Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor

Estimating the density of a distribution from its samples is a fundamental problem in statistics. Hypothesis selection addresses the setting where, in addition to a sample set, we are given $n$ candidate distributions -- referred to as hypotheses -- and the goal is to determine which one best...