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https://github.com/eremit4/favihunter
Discover and track internet assets using favicon hashes through search engines.
https://github.com/eremit4/favihunter
censys criminalip favicon favicon-hash fofa fofa-search getodin odin osint osint-python osint-tool python3 shodan silentpush theat-intel threat-hunting threat-intelligence validin zoomeye
Last synced: about 1 month ago
JSON representation
Discover and track internet assets using favicon hashes through search engines.
- Host: GitHub
- URL: https://github.com/eremit4/favihunter
- Owner: eremit4
- License: mit
- Created: 2023-12-29T15:33:44.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2024-10-14T11:47:30.000Z (2 months ago)
- Last Synced: 2024-11-14T21:31:57.522Z (about 1 month ago)
- Topics: censys, criminalip, favicon, favicon-hash, fofa, fofa-search, getodin, odin, osint, osint-python, osint-tool, python3, shodan, silentpush, theat-intel, threat-hunting, threat-intelligence, validin, zoomeye
- Language: Python
- Homepage:
- Size: 341 KB
- Stars: 122
- Watchers: 4
- Forks: 18
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-ip-search-engines - FaviHunter
README
# Favihunter
> Favicons are small icons in modern web applications that could be very useful for us in our day-to-day hunting activities, especially when we combine these icons with modern search engines to find assets on the internet.
> This project helps security professionals find assets online using favicon hashes through search engines such as:
- [Censys](https://search.censys.io/)
- [Criminal IP](https://www.criminalip.io/)
- [FOFA](https://en.fofa.info/)
- [Netlas](https://app.netlas.io)
- [Odin](https://search.odin.io/)
- [Shodan](https://www.shodan.io)
- [Silent Push](https://explore.silentpush.com)
- [Validin](https://app.validin.com)
- [Zoomeye](https://www.zoomeye.hk)
## 🛠️ Installation
Optional - Creating a virtualenv before installing the dependencies
> Note: The use of virtual environments is optional, but recommended. In this way, we avoid possible conflicts in different versions of the project's dependencies.
> Learn how to install and use virtualenv according to your OS [here](https://virtualenv.pypa.io/en/latest/)
### Via PyPI (Recommended)
You can install FaviHunter directly from [PyPI](https://pypi.org/project/favihunter/):
```bash
pip install favihunter
```
### Via Source (Using Poetry)
Cloning the project:
```bash
git clone https://github.com/eremit4/favihunter.git
```
Installing the dependencies:
```bash
poetry install
```
## 🕵️♂️ Using
Discovering the project capabilities:
```bash
favihunter --help
```
Analyzing a specific URL:
```bash
favihunter --url
```
Analyzing a file with URLs:
```bash
favihunter --urls
```
Analyzing a local favicon image:
```bash
favihunter --favicon
```
Cleaning the favicon local directory:
```bash
favihunter --remove-favicons
```
