nCPU

A complete computer in which every layer — arithmetic, OS, compiler, display — is either a trained neural network or runs entirely on GPU. The model doesn't run on the computer. The model is the computer. nCPU is one repository pursuing one thesis from five directions: a computer can be built out...

eyeballer

Eyeballer Give those screenshots of yours a quick eyeballing. Eyeballer is meant for large-scope network penetration tests where you need to find "interesting" targets from a huge set of web-based hosts. Go ahead and use your favorite screenshotting tool like normal EyeWitness or GoWitness and th...

challenge_repo

🎲 The Entropy Challenge 🇬🇧 Read in English | 🇹🇷 Türkçe Oku Introduction We have developed a next-generation random number generator that processes Radio Frequency RF Noise through a proprietary Neural Network architecture , followed by SHA-3 post-processing. We claim this source provides True...

Insider-Threat

Insider Threat Graph Models R5.2 & R6.2 This repository contains data preparation, feature extraction, and graph-based models GCN-NN, GCN-BiLSTM, and GCN-BiLSTM+Attention for implicit+explicit signals for insider-threat detection using the CMU CERT Insider Threat Test Dataset R5.2, R6.2. Reposito...

AntiVE-BehaviorWatch

AntiVE-BehaviorWatch Embedded AI-powered human behavior verification for cybersecurity research. What is AntiVE-BehaviorWatch? AntiVE-BehaviorWatch is a Windows-based cybersecurity research project that explores a new approach to execution control using embedded artificial intelligence. Instead o...

Adaptive-Shot Hybrid Quantum Anomaly Detection for Tactile Internet Security: Reliability-Aware Measurement Allocation under Resource Constraints

Tactile Internet TI security analytics must balance reliable thresholded decisions with constrained computational and measurement resources. We study this tension for finite-shot hybrid quantum anomaly inference and introduce the Adaptive-Shot Variational Quantum Circuit AS-VQC policy. This...

Behavior-Centric Malware Classification with Fine-Grained Malicious Logic Localization

Effective malware analysis requires understanding not only whether a program is malicious, but also which behaviors it exhibits and where those behaviors originate in the code. Existing machine-learning-based malware detectors largely operate as black boxes, providing limited insight into the...

Residual Community Prototypes Under-Reject Held-Out Malware Families in FCG-MFD

Open-set malware-family recognition must classify known families while rejecting families absent from training. We test whether Louvain-community summaries add rejection information beyond a graph neural network embedding and dimension-matched generic topology. The study uses a deduplicated,...

Enhancing Web Application Firewalls with BERT-GNN for SQL Injection Detection

Detecting sophisticated SQL Injection SQLi attacks remains among the most critical challenges in web applications security. This research study has resulted in an optimised hybrid BERT-GNN pipeline with improved detection accuracy and robustness while reducing false-positive and false-negative...

espectre snapshot-dev

🛜 ESPectre 👻 Motion detection system based on Wi-Fi spectre analysis CSI, with native Home Assistant integration via ESPHome. !TIP New ML Detector : Neural network-based motion detection. No calibration required, runs on-device. This is an experimental feature, and feedback is welcome in the...

CVE-2026-63632: Out-of-bounds Read

Open Neural Network Exchange ONNX is an open standard for machine learning interoperability. From 1.3.0 until 1.22.0, onnx.versionconverter.convertversion can perform an out-of-bounds read in Gemm76::adaptgemm76 in onnx/versionconverter/adapters/gemm76.h when a Gemm node has input tensors with...

A Deployment-Oriented and Resource-Efficient Neuro-Symbolic Framework for Explainable DDoS Detection in Operational Technology Networks

Operational technology OT environments, including programmable logic controllers PLCs, industrial control systems ICS, and supervisory control and data acquisition SCADA systems, are increasingly targeted by distributed denial-of-service DDoS attacks. This paper presents a neuro-symbolic framewor...

CVE-2026-65581

Unauthenticated PHP Object Injection in AI ANN = 1.29.0 versions...

EUVD-2026-53879

Unauthenticated PHP Object Injection in AI ANN = 1.29.0 versions...

PYSEC-2026-3587 ONNX: Heap-Buffer-Overflow READ in Gemm Version Converter Adapter via Undersized Input Shape

Summary Heap-buffer-overflow READ 16 bytes in Gemm76::adaptgemm76 onnx/versionconverter/adapters/gemm76.h:41 when ConvertVersion processes a model with a Gemm node whose input tensors have fewer than 2 dimensions. The adapter accesses Bshape1 without checking rank. On Release builds the OOB read ...

AdaptoNet: Modular Foundation-Adaptive Neural Networks for Cyber-Physical Attack Detection in Power Grids

Cyber attacks on the power grid combine physical disruptions with compromised data to destabilize cyber-physical systems. We demonstrate that data denial attacks, where adversaries block measurements in a targeted region while triggering a line outage, reduce detection performance by more than...

DEBIAN-CVE-2026-17858

Uninitialized Use in WebNN in Google Chrome on Windows prior to 151.0.7922.72 allowed a remote attacker to leak cross-origin data via a crafted HTML page. Chromium security severity: Medium...

CVE-2026-17858

Uninitialized Use in WebNN in Google Chrome on Windows prior to 151.0.7922.72 allowed a remote attacker to leak cross-origin data via a crafted HTML page. Chromium security severity: Medium...

C-RE-ACT: Causal RE-ACTing Agent for O-RAN Forensic Triage

The shift to O-RAN architectures marks a turning point in cellular security, where increased openness and modularity directly translate into a broader attack surface. Among the security threats cataloged by the O-RAN Alliance Working Group 11, performance-degradation attacks constitute the larges...

Astra Linux – Vulnerability in Chromium

Integer overflow in WebNN in Google Chrome prior to 150.0.7871.47 allowed a remote attacker to obtain potentially sensitive information from process memory via a crafted HTML page. Chromium security severity: Low...