2 releases
new 0.1.1 | Mar 22, 2025 |
---|---|
0.1.0 | Mar 22, 2025 |
#11 in #distributed
24 downloads per month
2.5MB
2K
SLoC
FATT (Find All The Things)
A high-performance, modular, asynchronous, and distributed security scanning CLI tool designed to rapidly identify sensitive or exposed files and directories across millions of domains.
Features
- 🚀 High Performance: Built in Rust for maximum speed and efficiency
- 🔄 Asynchronous: Leverages Tokio for concurrent scanning operations
- 🌐 Distributed: Scales horizontally across multiple worker nodes
- 🧩 Modular: Easily extend with custom scanning rules via YAML configuration
- 💾 Persistent DNS Cache: Dramatically improves scanning speed for repeat operations
- 📊 Comprehensive Reporting: SQLite storage for efficient result management
Installation
cargo install fatt
Or build from source:
git clone https://github.com/copyleftdev/fatt.git
cd fatt
cargo build --release
Releases
FATT is available as pre-built binaries for Windows, macOS (Intel and Apple Silicon), and Linux. These binaries are automatically generated through our CI/CD pipeline whenever a new release is tagged.
Download Pre-built Binaries
Visit the Releases page to download the latest version for your platform:
- Windows:
fatt-windows-amd64.zip
- macOS Intel:
fatt-macos-amd64.tar.gz
- macOS Apple Silicon:
fatt-macos-arm64.tar.gz
- Linux:
fatt-linux-amd64.tar.gz
Each release package includes the executable, LICENSE file, and rule-examples directory.
Creating a Release
For maintainers, creating a new release is as simple as pushing a new version tag:
git tag -a v1.0.0 -m "Release v1.0.0"
git push origin v1.0.0
This will trigger the GitHub Actions workflow that builds and packages FATT for all platforms.
Quick Start
# Scan domains from a list using default rules
fatt scan -i domains.txt
# Scan with custom rules
fatt scan -i domains.txt -r custom-rules.yaml
# Export results to CSV
fatt results export -o findings.csv
# Start a worker node for distributed scanning
fatt worker start -m master-ip:port
Configuration
FATT uses YAML-based rules for scan configuration. Example:
rules:
- name: Git Exposure
path: /.git/HEAD
signature: "ref: refs/"
- name: Env File Exposure
path: /.env
signature: "APP_KEY="
Rule Examples
FATT includes a comprehensive set of rule examples in the rule-examples
directory, organized by technology:
- admin-panels.yaml - Common admin interfaces and control panels
- api-endpoints.yaml - REST API endpoints and documentation resources
- cloud-service-paths.yaml - AWS, GCP, Azure, and Kubernetes paths
- common-paths.yaml - Comprehensive collection of various path types
- dangerous-defaults.yaml - Exposed configs and sensitive files
- database-paths.yaml - SQL and NoSQL database management interfaces
- debug-endpoints.yaml - Debug, monitoring, and development endpoints
- ecommerce-webapp-paths.yaml - eCommerce platforms and web frameworks
- graphql-endpoints.yaml - GraphQL endpoints and development tools
- iot-embedded-paths.yaml - IoT devices, routers, cameras, and ICS systems
- java-spring-paths.yaml - Spring Boot actuators and Java web applications
- microsoft-paths.yaml - Microsoft Exchange, SharePoint, and Azure paths
Load specific rule sets for targeted scanning:
// Use a single category
let rules = rules::load_rules("rule-examples/microsoft-paths.yaml").unwrap();
// Or add rules to your main ruleset
rules::add_rule("rule-examples/database-paths.yaml").unwrap();
Usage
USAGE:
fatt <SUBCOMMAND>
SUBCOMMANDS:
scan Scan domains for sensitive files and directories
rules Manage scanning rules
results Query and export scan results
dns Manage DNS cache
worker Control distributed worker nodes
help Prints help information
Performance Tuning
FATT is designed for high performance but can be further optimized:
- Increase concurrency with
-c/--concurrency
flag - Adjust batch size with
-b/--batch-size
flag - Optimize DNS cache lifetime with
--dns-ttl
option
License
This project is licensed under the HACKFU PUBLIC LICENSE (HFPL) - "Don't Be A Noob" Edition. See the LICENSE file for details.
2025 copyleftdev
Dependencies
~66MB
~1M SLoC