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Hybrid Attack Panel (HAP)

Welcome to the Hybrid Attack Panel (HAP) — a live, open intelligence framework dedicated to tracking, analyzing, and understanding hybrid threats that blur the boundaries between war and peace, physical and digital, state and non-state actors.

🎯 Project Objectives

HAP serves as both:

  • A working model for decentralized intelligence fusion and signal detection
  • A reproducible framework for other Ardens initiatives, including OSINT and narrative tracking

Our focus areas include:

  • Identifying and classifying hybrid attack vectors through evolving typologies
  • Collecting and normalizing fragmented open-source intelligence (OSINT) feeds
  • Tracking narrative cascades and information shadow effects
  • Providing actionable insights grounded in real-world patterns

đź“‹ Project Task Checklist

Core Setup

  • [x] Establish wiki infrastructure (_Sidebar.md, _Footer.md)
  • [x] Create HAP project landing page
  • [x] Link from Ardens main wiki
  • [x] Backup wiki repo locally

Signal Typology & Methodology

  • [x] Draft initial signal typology page
  • [x] Add candidate signal types for review
  • [ ] Finalize classification schema
  • [ ] Link real-world examples to types

Feed Intake

  • [x] Create Core Feed Intake page
  • [ ] Populate with initial open-source feeds (Bellingcat, ACLED, etc.)
  • [ ] Tag each feed with domain, trust level, update frequency
  • [ ] Identify blind spots / missing feeds

Bee Tracker & Narrative Analysis

  • [x] Create Bee Tracker prototype page
  • [ ] Define narrative cascade triggers
  • [ ] Add test narrative tracking cases (from July report)
  • [ ] Link Bee Tracker to Narrative Watchlist

Summaries & Reports

  • [x] Create July 2025 summary stub
  • [ ] Populate July signals + interpretations
  • [x] Add August 2025 stub for continuity

Meta & Template Functions

  • [x] Create project layout template
  • [ ] Draft “How to Fork This Project” guide
  • [ ] Prepare this structure for Post-Hegemony Tracker reuse

Manus Review Follow-Up Tasks

  • [ ] Flesh out placeholder pages: Cascade Potential Framework, Information Shadows, Narrative Watchlist
  • [ ] Fix or remove redirected/placeholder links (Signal Typology, July 2025 Hybrid Attack Summary)
  • [ ] Create centralized summary/dashboard page with key metrics and visualizations
  • [ ] Add detailed real-world case studies of hybrid attacks analyzed with HAP
  • [ ] Develop a glossary page for key terms and acronyms

💡 Our Approach: Open Source & Zero Budget — With Eyes on Future Growth

The Hybrid Attack Panel (HAP) is committed to building a comprehensive, transparent OSINT framework entirely using open-source tools and zero-cost software wherever possible. This ensures accessibility, auditability, and community collaboration without financial barriers.

What We Are Doing Now

  • Automating data ingestion from publicly available RSS feeds, APIs, and open-source intelligence sources using Python scripts
  • Utilizing open-source databases and search engines (e.g., Elasticsearch, PostgreSQL) to store and index data for flexible querying
  • Employing lightweight scheduling and automation tools native to Linux environments (cron, systemd timers)
  • Applying manual and rule-based filtering and tagging for data quality and relevance
  • Prioritizing transparency, documentation, and community-driven expansion

What Funding Could Enable

With dedicated funding or infrastructure support, HAP could accelerate development by adding:

  • Advanced Natural Language Processing (NLP) for multi-language support, entity extraction, and sentiment analysis
  • Real-time dashboards and alerting systems with interactive visualization
  • Scalable cloud infrastructure for continuous data ingestion and processing
  • Machine learning models for threat scoring, anomaly detection, and predictive analytics
  • Professional-grade data validation and enrichment pipelines

Collaborations & Funding Models

We welcome discussions with funders or partners interested in supporting HAP’s mission. Funded work can be tailored to specific needs and, based on mutual agreement, either:

  • Remain proprietary to support partner objectives
  • Be contributed back as open-source enhancements for the community’s benefit

This transparent and flexible model ensures that HAP can continue to evolve sustainably while honoring our commitment to open knowledge and collaboration.

Feel free to dive in, propose edits, and add new signals or feeds.
This is a public, collaborative effort — the swarm is always stronger together.

For questions or contributions, visit the eirenicon Contact Page.