Important: Red Hat Security Advisory: Red Hat Enterprise Linux AI 1.5 (AMD)

Red Hat Enterprise Linux AI 1.5 AMD is now available. Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models LLMs for enterprise applications. This container provides NVIDIA hardware enablement and the InstructLab...

Important: Red Hat Security Advisory: Red Hat Enterprise Linux AI 1.5 (AMD)

Red Hat Enterprise Linux AI 1.5 AMD is now available. Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models LLMs for enterprise applications...

Important: Red Hat Security Advisory: Red Hat Enterprise Linux AI 1.5 (Intel Gaudi)

Red Hat Enterprise Linux AI 1.5 Intel Gaudi is now available. Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models LLMs for enterprise applications...

Important: Red Hat Security Advisory: Red Hat Enterprise Linux AI 1.5 (Intel Gaudi)

Red Hat Enterprise Linux AI 1.5 Intel Gaudi is now available. Red Hat® Enterprise Linux® AI is a foundation model platform to seamlessly develop, test, and run Granite family large language models LLMs for enterprise applications. This container provides NVIDIA hardware enablement and the...

Detecting Vulnerabilities from Issue Reports for Internet-Of-Things

Timely identification of issue reports reflecting software vulnerabilities is crucial, particularly for Internet-of-Things IoT where analysis is slower than non-IoT systems. While Machine Learning ML and Large Language Models LLMs detect vulnerability-indicating issues in non-IoT systems, their I...

AthenaBench: A Dynamic Benchmark for Evaluating LLMs in Cyber Threat Intelligence

Large Language Models LLMs have demonstrated strong capabilities in natural language reasoning, yet their application to Cyber Threat Intelligence CTI remains limited. CTI analysis involves distilling large volumes of unstructured reports into actionable knowledge, a process where LLMs could...

MalDataGen: A Modular Framework for Synthetic Tabular Data Generation in Malware Detection

High-quality data scarcity hinders malware detection, limiting ML performance. We introduce MalDataGen, an open-source modular framework for generating high-fidelity synthetic tabular data using modular deep learning models e.g., WGAN-GP, VQ-VAE. Evaluated via dual validation TR-TS/TS-TR, seven...

Exploiting Latent Space Discontinuities for Building Universal LLM Jailbreaks and Data Extraction Attacks

The rapid proliferation of Large Language Models LLMs has raised significant concerns about their security against adversarial attacks. In this work, we propose a novel approach to crafting universal jailbreaks and data extraction attacks by exploiting latent space discontinuities, an architectur...

On Selecting Few-Shot Examples for LLM-Based Code Vulnerability Detection

Large language models LLMs have demonstrated impressive capabilities for many coding tasks, including summarization, translation, completion, and code generation. However, detecting code vulnerabilities remains a challenging task for LLMs. An effective way to improve LLM performance is in-context...

CVE-2025-11998

The CVE-2025-11998 entry concerns HP Card Readers B Models X3D03B and Y7C05B, with potential information disclosure where a prior user identity could be inherited when an NFC device (e.g., smartphone or smartwatch) is in proximity during a card swipe. Connected documents (Red Hat, NVD, CVE lists,...

CVE-2025-11998 HP Card Readers (B Models) – Potential Information Disclosure

The following HP Card Readers B Models X3D03B & Y7C05B are potentially vulnerable to information disclosure, allowing prior user identity to be inherited under certain conditions —e.g., when an NFC device such as a smartphone/smartwatches is in proximity during a card swipe event...

[SECURITY] Fedora 42 Update: qt6-qtscxml-6.9.3-1.fc42

The Qt SCXML module provides functionality to create state machines from SCXM L files. This includes both dynamically creating state machines loading the SCXML file and instantiating states and transitions and generating a C++ file that has a class implementing the state machine. It also contains...

AWS Bedrock Prompt Caching Support in Spring AI

In our previous blog post about Anthropic prompt caching, we explored how prompt caching dramatically reduces API costs and latency by reusing previously processed prompt content. We introduced Spring AI's five strategic caching patterns for Anthropic Claude models and showed how they automatical...

LLM-Based Multi-Class Attack Analysis and Mitigation Framework in IoT/IIoT Networks

The Internet of Things has expanded rapidly, transforming communication and operations across industries but also increasing the attack surface and security breaches. Artificial Intelligence plays a key role in securing IoT, enabling attack detection, attack behavior analysis, and mitigation...

PT-2025-44422

Name of the Vulnerable Software and Affected Versions HP Card Readers B Models X3D03B & Y7C05B Description HP Card Readers B Models X3D03B and Y7C05B may disclose information, potentially allowing a prior user’s identity to be inherited. This can occur when a Near Field Communication NFC device,...

Unvalidated Trust: Cross-Stage Vulnerabilities in Large Language Model Architectures

As Large Language Models LLMs are increasingly integrated into automated, multi-stage pipelines, risk patterns that arise from unvalidated trust between processing stages become a practical concern. This paper presents a mechanism-centered taxonomy of 41 recurring risk patterns in commercial LLMs...

CVE-2025-10151 Malicious TCP/IP thread locking leads into diverse malfunctions

Improper locking vulnerability in Softing Industrial Automation GmbH gateways allows infected memory and/or resource leak exposure.This issue affects smartLink HW-PN: from 1.02 through 1.03 smartLink HW-DP: 1.31...

Evaluation of Vision-LLMs in Surveillance Video

The widespread use of cameras in our society has created an overwhelming amount of video data, far exceeding the capacity for human monitoring. This presents a critical challenge for public safety and security, as the timely detection of anomalous or criminal events is crucial for effective...

Network Intrusion Detection: Evolution from Conventional Approaches to LLM Collaboration and Emerging Risks

This survey systematizes the evolution of network intrusion detection systems NIDS, from conventional methods such as signature-based and neural network NN-based approaches to recent integrations with large language models LLMs. It clearly and concisely summarizes the current status, strengths, a...

WordPress plugin AI Chatbot Free Models - Customer Support, Live Chat, Virtual Assistant Security Breach

WordPress and WordPress plugin are both products of the WordPress Foundation.WordPress is a blogging platform developed using the PHP language. WordPress is a blogging platform developed using the PHP language, with the ability to host personal blog sites on PHP and MySQL based servers.WordPress...