Smart Medical IoT Security Vulnerabilities: Real-Time MITM Attack Analysis, Lightweight Encryption Implementation, and Practitioner Perceptions in Underdeveloped Nigerian Healthcare Systems

The growing use of Internet of Things IoT technologies in Nigerian healthcare offers potential improvements in remote monitoring and data-driven care, but unsecured wireless communication in medical IoT mIoT devices exposes patient data to cyber threats. This study investigates such vulnerabiliti...

LinkedIn will use your data to train its AI unless you opt out now

LinkedIn plans to share user data with Microsoft and its affiliates for AI training. Framed as "legitimate interest", it won't ask for your permission—instead you'll have to opt out before the deadline. Microsoft has made major investments in ChatGPT’s creator OpenAI, and as we know, the more dat...

Vision Transformers: the Threat of Realistic Adversarial Patches

The increasing reliance on machine learning systems has made their security a critical concern. Evasion attacks enable adversaries to manipulate the decision-making processes of AI systems, potentially causing security breaches or misclassification of targets. Vision Transformers ViTs have gained...

Every Character Counts: from Vulnerability to Defense in Phishing Detection

Phishing attacks targeting both organizations and individuals are becoming an increasingly significant threat as technology advances. Current automatic detection methods often lack explainability and robustness in detecting new phishing attacks. In this work, we investigate the effectiveness of...

Centralized Vs. Decentralized Security for Space AI Systems? A New Look

This paper investigates the trade-off between centralized and decentralized security management in constellations of satellites to balance security and performance. We highlight three key AI architectures for automated security management: a centralized, b distributed and c federated. The...

Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-To-End Autonomous Driving

Assessing the safety of autonomous driving AD systems against security threats, particularly backdoor attacks, is a stepping stone for real-world deployment. However, existing works mainly focus on pixel-level triggers that are impractical to deploy in the real world. We address this gap by...

224 malicious apps removed from the Google Play Store after ad fraud campaign discovered

Researchers have discovered a large ad fraud campaign on Google Play Store. The Satori Threat Intelligence and Research team found 224 malicious apps which were downloaded over 38 million times and generated up to 2.3 billion ad requests per day. They named the campaign "SlopAds." Ad fraud is a...

AI Training Data: Winning in the AI Boom

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MSc-Cybersecurity-Capstone-Android-Exploitation

MSc Cybersecurity Capstone Project Title: Android Exploit...

Buffer-Overflow-Exploit-Development-Practice

It is an offensive tool for buffer overflow exploit development. The primary CVE ID is not present in the provided context. The target product/service or framework is not explicitly stated, but the tool is designed for buffer overflow exploit development, which typically involves vulnerabilities ...

CVE-2025-39784 PCI: Fix link speed calculation on retrain failure

In the Linux kernel, the following vulnerability has been resolved: PCI: Fix link speed calculation on retrain failure When pciefailedlinkretrain fails to retrain, it tries to revert to the previous link speed. However it calculates that speed from the Link Control 2 register without masking out...

PT-2025-37241

Name of the Vulnerable Software and Affected Versions: Linux kernel affected versions not specified Description: A flaw exists in the Linux kernel related to PCI link speed calculation during retrain failures. Specifically, when pcie failed link retrain fails to retrain a link, it attempts to...

ICE Has Spyware Now

Plus: An AI chatbot system is linked to a widespread hack, details emerge of a US plan to plant a spy device in North Korea, your job’s security training isn’t working, and more...

Robust DDoS-Attack Classification with 3D CNNs against Adversarial Methods

Distributed Denial-of-Service DDoS attacks remain a serious threat to online infrastructure, often bypassing detection by altering traffic in subtle ways. We present a method using hive-plot sequences of network data and a 3D convolutional neural network 3D CNN to classify DDoS traffic with high...

A Kolmogorov-Arnold Network for Interpretable Cyberattack Detection in AGC Systems

Automatic Generation Control AGC is essential for power grid stability but remains vulnerable to stealthy cyberattacks, such as False Data Injection Attacks FDIAs, which can disturb the system's stability while evading traditional detection methods. Unlike previous works that relied on blackbox...

PyTorch nccl.py torch.cuda.nccl.reduce denial of service

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drm/amd/display: prevent hang on link training fail

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1965 Cryptanalysis Training Workbook Released by the NSA

In the early 1960s, National Security Agency cryptanalyst and cryptanalysis instructor Lambros D. Callimahos coined the term "Stethoscope" to describe a diagnostic computer program used to unravel the internal structure of pre-computer ciphertexts. The term appears in the newly declassified...

CVE-2025-54944

An unrestricted upload of file with dangerous type vulnerability in SUNNET Corporate Training Management System before 10.11 allows remote attackers to write malicious code in a specific file, which may lead to arbitrary code execution...

CVE-2025-54945

An external control of file name or path vulnerability in SUNNET Corporate Training Management System before 10.11 allows remote attackers to execute arbitrary system commands via a malicious file by controlling the destination file path...