Windows Malware Detector As a Compound AI System: Trade-Offs in Accuracy, Efficiency, and Adversarial Robustness

Industrial Windows malware detectors are commonly described as Compound AI Systems composed of multiple heterogeneous components, including rule-based mechanisms as well as machine-learning-based static and dynamic analyses. However, due to industrial secrecy and limited public disclosure, the...

yj_nearbyglasses v1.0.10

yjnearbyglasses attempting to detect smart glasses nearby and warn you. ⚠ WARNING! ⚠ nearby-glasses-alert.pages.dev is NOT RELATED TO MY PROJECT. Many apps in Play Store and App Store look or are even called very similar to Nearby Glasses. They seem to hijack the name and try to make a quick prof...

ultralytics v8.4.142

中文 | 한국어 | 日本語 | Русский | Deutsch | Français | Español | Português | Türkçe | Tiếng Việt | العربية Ultralytics creates cutting-edge, state-of-the-art SOTA YOLO models built on years of foundational research in computer vision and AI. Constan...

Flintlock

Flintlock Hardware-assisted memory sandboxing for high-freq...

LLM-Based Penetration Testing in the Presence of Honeypots

Large language model LLM agents are increasingly employed for offensive cybersecurity tasks such as automated vulnerability discovery, reconnaissance, and penetration testing. This new capability also threatens one of the defender's most valuable tools: deception. Traditional honeypots rely on...

Towards a Resilience-Theoretic Foundation for Adversarial Robustness in Industrial Control System Anomaly Detection

Anomaly-based intrusion detection systems in industrial control systems ICS and operational technology OT environments are increasingly required to meet formal resilience criteria: absorbed adversarial disturbances, graceful degradation under sustained attack, and certified system-level guarantee...

Frequency-Domain Mixing Data Augmentation for Malicious Traffic Detection

The strong dynamics of network traffic often force malicious traffic detection models to handle out-of-distribution data. Typically, deep learning-based malicious traffic detection models require a large amount of high-quality training data. However, owing to challenges such as high labeling...

deadair v0.8.0

deadair checks whether enabled SIEM detections still have the telemetry they need. It reports missing or stale data, ingest delays, and schema mismatches. Runs locally · Read-only · No agent · No telemetry upload Read the technical write-up · Featured in Detection Engineering Weekly · Featured in...

Plaintext credentials written to the threat log and readable by any authenticated user

More info at https://github.com/jay123anta/laravel-threat-detection/security/advisories/GHSA-9jh8-pj82-6ccg...

darts v0.47.0

Time Series Made Easy in Python Darts is a Python library for user-friendly forecasting and anomaly detection on time series. It contains a variety of models, from classics such as ARIMA to deep neural networks. The forecasting models can all be used in the same way, using fit and predict...

pentest-metasploitable2-lab

Análise de Exploração e Resposta a Incidente — Laboratório Met...

Lightweight Detection of Electromagnetic Signal Injection Attacks on Image Sensors

Electromagnetic signal injection attacks ESIA pose a growing threat to image sensors, which are increasingly used in different intelligent systems. By emitting electromagnetic interference, adversaries can manipulate pixel values, potentially misleading downstream artificial intelligence AI model...

Unity Linux 20.1050a Security Update: kernel (UTSA-2026-053304)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-053304 advisory. In the Linux kernel, the following vulnerability has been resolved: drm/amdgpu: Reset IH OVERFLOWCLEAR bit Allows us to detect subsequent IH ring buffer overflows as...

Skynet: Workflow-Level Anomaly Detection for Agentic AI Via Semantic and Structural Modeling

Agentic AI systems execute complex tasks through long-horizon workflows of planning, tool use, and multi-agent coordination. Task failures in these systems often originate from a single step, such as an injected prompt or a flawed plan, and are then amplified through downstream dependencies as th...

AURA-Eval: Evaluation Framework for Acting under Risk Awareness in LLM Agent Trajectories

LLM agents operate in workflows where unsafe actions can have real consequences. Existing safety evaluations often reduce behavior to a single score, obscuring risk recognition, pre-action detection, and safe task completion when a safe solution exists. We introduce AURA-Eval, a framework combini...

UBUNTU-CVE-2026-31912

libpcap BPF interpreter detects neither reaching the end of the filter program buffer due to lack of a return instruction nor executing a jump instruction with an offset that translates to a pointer outside of the buffer. In particular uncommon use cases a crafted filter program can cause the...

ThreatLens

ThreatLens !CIhttps://github.com/omlambhate/ThreatLens/act...

CVE-2026-31912

libpcap BPF interpreter detects neither reaching the end of the filter program buffer due to lack of a return instruction nor executing a jump instruction with an offset that translates to a pointer outside of the buffer. In particular uncommon use cases a crafted filter program can cause the...

Antiphishing v33854571962

Antiphishing — Predictive Phishing Intelligence for Suricata DONATE · DASHBOARD VECTORS · CONTRIBUTING · SUBMIT A VECTOR · REST API CTI · WIKI Predictive Phishing Intelligence for Suricata — Preemptive Defense from Day Zero Antiphishing is an open-source GPLv3 Cyber Threat Intelligence CTI...

changedetection.io v0.60.3

Detect Website Changes Automatically — Monitor Web Page Changes in Real Time Monitor websites for updates — get notified via Discord, Email, Slack, Telegram, Webhook and many more. Detect web page content changes and get instant alerts. Ideal for monitoring price changes, content edits, condition...