ICS Incident Response Automation Framework Python framework for executing automated incident response playbooks in ICS/SCADA environments. Supports network isolation, forensic preservation, logic restoration, and safety system interventions. Designed for defenders, researchers, and red team simulations in operational technology networks.

A collection of reports and case studies to understand the threat landscape for UK critical infrastructure

Code to calculate the Critical Infrastructure Spatial Index (CISI)

A simple IRC bot in python

Comprehensive methodology, checklists, and hardening guides for ICS/OT Cybersecurity Audits based on IEC 62443 & NIST SP 800-82. Focus on defensive security practices and risk mitigation in industrial environments.

A serious game to support teaching and learning of topics of connected critical infrastructure in urban settings 🏙 🍃 💧 ⚡️ 🚗 👩‍💻

Volunteer initiative by CyberAar: Collaborative best practices for securing Senegal's critical infrastructure. Contributions welcome! 🇸🇳

A centralized repository for technical and cybersecurity white papers published by MottaSec. Each folder contains a distinct white paper along with any relevant supporting materials, tools, or references. This repository serves as a knowledge base reflecting our expertise, research, and thought leadership across key areas of cybersecurity.

Network data repository

RaBe logos in beautiful ANSI format to use as motd

Modular ICS/OT cybersecurity toolkit for Modbus/TCP, Siemens S7Comm, and DNP3. Generates JSON/HTML reports and executive dashboards from PCAPs and safe Modbus scans. Includes sample PCAPs and ModbusPal for testing.

Some sort-of IRC bot

Educational deserialization attack on a hydroelectric plant simulator (HydroFlow Console)

Simulator of critical infrastructure network failures, attacks and resilience

A hybrid AI model for predicting failures in water distribution systems using Adaptive Neuro-Fuzzy Inference System (ANFIS). The model integrates Genetic Algorithms (GA) and Ant Colony Optimization (ACO) to improve the accuracy of accident prediction.

AI-driven threat intelligence framework for critical infrastructure protection

ICS/SCADA security research: 35+ CVE discoveries, protocol analysis (Modbus/DNP3/IEC 61850), firmware reverse engineering, and penetration testing methodologies for critical infrastructure

⚡ Power grid attack research | Critical infrastructure | NullSec Framework | @AnonAntics

Simulates incident handling in data centers using Python and SimPy. Analyze how staffing levels, shift timing, and triage rules affect SLA compliance, resolution time, and backlog size.

AI Prompt Library for Securing Digital Payments, Financial Systems, and Digital Assets using Zero Trust & Defense-in-Depth Strategies

Offline-first resiliency SDK for DePIN and critical infrastructure in emerging and connected markets, designed for degraded connectivity and cloud/CDN outages.

AI-powered MuleSoft API platform enabling 10-minute grid recovery for utilities. Integrates SCADA, weather, DER, and field systems with autonomous agent coordination. -15M annual ROI through 85% outage reduction.

💧 Water system SCADA/ICS attack research | Critical infrastructure | NullSec Framework | @AnonAntics

🏭 SCADA/ICS exploitation toolkit | Industrial control systems | NullSec Framework | @AnonAntics

Quantum-resistant security for critical infrastructure & economic stability — aligned with NIST Cybersecurity Framework 2.0 and compatible with NIST PQC standards.

Notus Regalia is a modern holding company advancing strategic innovation across Defense, Intelligence, Healthcare, Civic Infrastructure, Energy, and Disaster Response.

Educational examples demonstrating memory-safe programming patterns for critical infrastructure

Transformer-based RF-DETR model for drone & aerial surveillance detecting critical infrastructure (bridges, power plants, substations, towers).

🤖 PLC (Programmable Logic Controller) exploitation | Industrial hacking | NullSec Framework | @AnonAntics

AI-based phishing domain detection for critical infrastructure. 97.7% precision. Zero third-party APIs. Fully on-premises.