---
title: MITRE ATT&CK Explorer
emoji: ⚔️
colorFrom: red
colorTo: yellow
sdk: gradio
sdk_version: "5.50.0"
python_version: "3.10"
app_file: app.py
pinned: false
license: apache-2.0
datasets:
  - AYI-NEDJIMI/mitre-attack-fr
  - AYI-NEDJIMI/mitre-attack-en
tags:
  - cybersecurity
  - mitre-attack
---

# MITRE ATT&CK Explorer

An interactive web application to explore the MITRE ATT&CK Framework with support for both English and French languages.

## Features

- **Language Support**: Toggle between English and French versions
- **Tactics Tab**: Browse all tactics with descriptions and references
- **Techniques Tab**: Search and filter techniques by name, ID, or tactic
- **Mitigations Tab**: Explore security mitigations and countermeasures
- **APT Groups Tab**: Discover threat actor groups and their techniques
- **Q&A Tab**: Access a curated question and answer dataset about MITRE ATT&CK
- **Statistics Tab**: Visualize data with charts showing:
  - Techniques per tactic distribution
  - Top 10 APT groups by techniques used

## Search and Filtering

- Use the search boxes to find tactics, techniques, mitigations, and groups
- Filter techniques by specific tactic
- Filter Q&A by category
- Real-time search across names, descriptions, IDs, and aliases

## Data Sources

The application loads data from two HuggingFace datasets:
- [MITRE ATT&CK Framework - English](https://huggingface.co/datasets/AYI-NEDJIMI/mitre-attack-en)
- [MITRE ATT&CK Framework - French](https://huggingface.co/datasets/AYI-NEDJIMI/mitre-attack-fr)

Each dataset contains:
- **tactics.json**: Tactic definitions with IDs, names, descriptions, and references
- **techniques.json**: Technique details including associated tactics and platforms
- **mitigations.json**: Security mitigations and countermeasures
- **groups.json**: Threat actor groups with aliases and techniques
- **qa_dataset.json**: Question-answer pairs for learning and assessment

## Technical Stack

- **Gradio**: Interactive web interface
- **Datasets**: HuggingFace dataset loading
- **Pandas**: Data manipulation and display
- **Plotly**: Interactive charts and visualizations

## Installation

```bash
pip install -r requirements.txt
python app.py
```

## Author

Created by [Ayi NEDJIMI](https://www.ayinedjimi-consultants.fr) - Senior Offensive Cybersecurity & AI Consultant

- LinkedIn: https://www.linkedin.com/in/ayi-nedjimi
- GitHub: https://github.com/ayinedjimi
- Twitter/X: https://x.com/AyiNEDJIMI

## License

Apache License 2.0