# OneForAll

[![Build Status](https://travis-ci.org/shmilylty/OneForAll.svg?branch=master)](https://travis-ci.org/shmilylty/OneForAll)
[![codecov](https://codecov.io/gh/shmilylty/OneForAll/branch/master/graph/badge.svg)](https://codecov.io/gh/shmilylty/OneForAll)
[![Maintainability](https://api.codeclimate.com/v1/badges/1287668a6b4c72af683e/maintainability)](https://codeclimate.com/github/shmilylty/OneForAll/maintainability)
[![License](https://img.shields.io/github/license/shmilylty/OneForAll)](https://github.com/shmilylty/OneForAll/tree/master/LICENSE)
[![python](https://img.shields.io/badge/python-3.8-blue)](https://github.com/shmilylty/OneForAll/tree/master/)
[![python](https://img.shields.io/badge/release-v0.2.0-brightgreen)](https://github.com/shmilylty/OneForAll/releases)

👊**OneForAll is a powerful subdomain collection tool**  📝[中文文档](https://github.com/shmilylty/OneForAll/tree/master/README.md)

![Example](../usage_example.svg)

## 🎉Project profile

Project address ：[https://github.com/shmilylty/OneForAll](https://github.com/shmilylty/OneForAll)

The importance of information collection in penetration testing is self-evident. Subdomain collection is an essential and very important part of information collection. At present, there are many open source tools for subdomain collection on the Internet, but there are always some of the following problems:

* **Not powerful enough**，there are not enough interfaces to collect subdomains automatically, and there are no functions such as automatic subdomain resolve, verification, FUZZ and information expansion.

* **Not friendly enough**，although the command line module is more convenient, but when there are a lot of optional parameters and the operation to be implemented is complex, using command line mode is a bit unfriendly. If there is a good interaction, With a highly operable front end, the experience will be much better.

* **Lack of maintenance**，Many tools have not been updated once in years, what issues and PR are, do not exist.

* **Efficiency issues**，do not take advantage of multi-process, multi-threading and asynchronous cooperation technology, the speed is slow.

In order to solve the above pain points, As its name suggests, I want OneForAll to be a collection of 100 strong, powerful and fast subdomains that collect the ultimate artifact 🔨.

At present, OneForAll is still under development, there must be a lot of problems and areas for improvement. Welcome to submit [Issues](https://github.com/shmilylty/OneForAll/issues) or [PR](https://github.com/shmilylty/OneForAll/pulls)，If you like, give it to a little star ✨，At present, there is a special QQ group for OneForAll communication and feedback: 👨‍👨‍👦‍👦：:[**824414244**](//shang.qq.com/wpa/qunwpa?idkey=125d3689b60445cdbb11e4ddff38036b7f6f2abbf4f7957df5dddba81aa90771)，You can also [tweet](https://twitter.com/shmilylty) to me .

## 👍Features

* **Powerful collection capability**，For more information, please see [collection module description](https://github.com/shmilylty/OneForAll/tree/master/docs/collection_modules.md).
1. Collect subdomains using certificate transparency (there are currently 6 modules: `censys_api`，`certspotter`，`crtsh`，`entrust`，`google`，`spyse_api`）
2. General check collection subdomains (there are currently 4 modules: domain transfer vulnerability exploitation`axfr`, cross-domain policy file `cdx`, HTTPS certificate `cert`, content security policy `csp`, robots file `robots`, and sitemap file `sitemap`, Zone walking NSEC module `nsec`. Check NSEC3 record and other modules will be added later).
3. Collect subdomains using web crawler files (there are currently 2 modules: `archirawl`, `commoncrawl`, which is still being debugged and needs to be added and improved). 
4. Collect subdomains using DNS datasets (there are currently 23 modules: `binaryedge_api`, `bufferover`, `cebaidu`, `chinaz`, `chinaz_api`, `circl_api`, `dnsdb_api`, `dnsdumpster`, `hackertarget`, `ip138`, `ipv4info_api`, `netcraft`, `passivedns_api`, `ptrarchive`, `qianxun`, `rapiddns`, `riddler`, `robtex`, `securitytrails_api`, `sitedossier`, `threatcrowd`, `wzpc`, `ximcx`）
5. Collect subdomains using DNS queries (There are currently 5 modules: collecting subdomains `srv` by enumerating common SRV records and making queries, and collecting subdomains by querying MX,NS,SOA,TXT records in DNS records of domain names). 
6. Collect subdomains using threat intelligence platform data (there are currently 6 modules: `alienvault`, `riskiq_ api`, `threatbook_ api`, `threatkeeper `, `virustotal`, `virustotal_ api`, which need to be added and improved).
7.  Use search engines to discover subdomains (there are currently 18 modules: `ask`, `baidu`, `bing`, `bing_api`, `duckduckgo`, `exalead`, `fofa_api`, `gitee`, `github`, `github_api`, `google`, `google_api`, `shodan_api`, `so`, `sogou`, `yahoo`, `yandex`, `zoomeye_api`), except for special search engines in the search module. General search engines support automatic exclusion of search, full search, recursive search. 
* **Support subdomain blasting**，This module has both conventional dictionary blasting and custom fuzz mode. It supports batch blasting and recursive blasting, and automatically judges pan-parsing and processing.
* **Support subdmain verification**，default to enable subdomain verification, automatically resolve subdomain DNS, automatically request subdomain to obtain title and banner, and comprehensively determine subdomain survival.
* **Support subdomain takeover**，By default, subdomain takeover risk checking is enabled. Automatic subdomain takeover is supported (only Github, remains to be improved at present), and batch inspection is supported.
* **Powerful processing feature**，The found subdomain results support automatic removal, automatic DNS parsing, HTTP request detection, automatic filtering of valid subdomains, and expansion of Banner information for subdomains. The final supported export formats are `rst`, `csv`, `tsv`, `json`, `yaml`, `html`, `xls`, `xlsx`, `dbf`, `latex`, `ods`.
* **Very fast**，[collection module](https://github.com/shmilylty/OneForAll/tree/master/collect.py) uses multithreaded calls, [blasting module](https://github.com/shmilylty/OneForAll/tree/master/brute.py) uses [massdns](https://github.com/blechschmidt/massdns), the speed can at least reach 10000pps under the default configuration, and DNS parsing and HTTP requests use asynchronous multiprogramming in subdomain verification. Multithreaded check [subdomain takeover](https://github.com/shmilylty/OneForAll/tree/master/takeover.py) risk.
* **Good experience**，Each module has a progress bar, and the results of each module are saved asynchronously.

If you have any other great ideas, please let me know!😎

## 🚀Start Guide

📢 Please take a moment to read this document to help you quickly get familiar with OneForAll!

**🐍Installation requirements**

OneForAll is developed and tested based on [Python 3.8.0](https://www.python.org/downloads/release/python-380/). Please use a stable release higher than Python 3.8.0, other versions may have some problems (Windows platform must use Python 3.8.0 or later). For more information on installing the Python environment, please see [Python 3 installation Guide](https://pythonguidecn.readthedocs.io/zh/latest/starting/installation.html#python-3) . Run the following command to check the Python and pip3 versions:
```bash
python -V
pip3 -V
```
If you see the following output, there is no problem with the Python environment:
```bash
Python 3.8.0
pip 19.2.2 from C:\Users\shmilylty\AppData\Roaming\Python\Python37\site-packages\pip (python 3.8)
```

**✔Installation steps (Git version)**

1. **Download**

This project has been mirrored in [Gitee](https://gitee.com/shmilylty/OneForAll.git). If you are in China, it is recommended that you use Gitee for cloning, which is faster:

```bash
git clone https://gitee.com/shmilylty/OneForAll.git
```
or：
```bash
git clone https://github.com/shmilylty/OneForAll.git
```

2. **Installation**

Since the project is under development and will continue to be updated iteratively, `git clone` is used to clone the latest code repository during download, which is also convenient for subsequent updates. Downloading from Releases is not recommended because the update of the version in Releases is slow and inconvenient.

You can install OneForAll dependencies via pip3, the following is an example of using **pip3** to install dependencies under **Windows system**: (Note: If your Python3 is installed in the system Program Files In the directory, such as: `C:\Program Files\Python38`, then run the command prompt cmd as an administrator to execute the following command!)

```bash
cd OneForAll/
python -m pip install -U pip setuptools wheel
pip3 install -r requirements.txt
python oneforall.py --help
```

For other system platforms, please refer to [dependency installation](https://github.com/shmilylty/OneForAll/tree/master/docs/installation_dependency.md). If you find that compiling a dependent library fails during the installation dependencies, Refer to the solution in the [troubleshooting.md](https://github.com/shmilylty/OneForAll/tree/master/docs/troubleshooting.md) documentation, if not resolved, welcome feedback.

3. **Update**

❗Note: If you have cloned the project before, please **back** up your own modified files (such as **config.py**) to the location outside the project before updating, then execute the following command **update** project:

```bash
git fetch --all
git reset --hard origin/master
git pull
```

**✔Installation steps (Docker version)**

```shell
docker pull shmilylty/oneforall
docker run -it --rm -v ~/results:/OneForAll/results oneforall
```
output will be saved in`~/results`

**✨Demonstration**

1. If you are installing dependencies through pip3, run the example using the following command: 
```bash
python3 oneforall.py --target example.com run
```

![Example](../usage_example.svg)

2. If you install dependencies through pipenv, run the example using the following command: 
```bash
pipenv run python oneforall.py --target example.com run
```

**🧐Description**. 

Let's take the command `python3 oneforall.py-- target example.com run` as an example. After the default parameters are executed normally, OneForAll will generate the corresponding results in the results directory: 

![Result](../../images/Result.png)

`example.com.csv` is the result of subdomain collection under each primary domain. 

`all_subdomain_result_1583034493.csv` is the summary result of the sub-domain collected by OneForAll each time, including `example.com.csv`. It is convenient to obtain all the results in batch collection scenarios. 

`result.sqlite3` is the SQLite3 result database that stores the sub-domain collected by OneForAll each time you run SQLite3. The database structure is shown below: 

![Database](../../images/Database.png)

A table like `example_com_origin_result` stores the initial subdomain collection results of each module. 

A table like `example_com_resolve_result` stores the results of resolving subdomains.

A table like `example_com_last_result` stores the results of the last sub-domain collection (it needs to be collected more than twice before it is generated). 

A table like `example_com_now_result` stores the collection results of the current subdomain. In general, you just need to pay attention to this table.

**🤔Help**

The command line parameters only provide some common parameters. For more detailed parameter configuration, please see [config.py](https://github.com/shmilylty/OneForAll/tree/master/config/setting.py) if you think Some parameters are frequently used in the command interface or missing parameters. Feedback is welcome. For well-known reasons, if you want to use some of the wall's collection interface, please go to [config.py](https://github.com/shmilylty/OneForAll/tree/master/config/setting.py) to configure the proxy, some collection Modules need to provide APIs (most of which are freely available for registered accounts). If you need to use them, please go to [api.py](https://github.com/shmilylty/OneForAll/tree/master/config/api.py) to configure the API. Information, if not used, please ignore the error message. (For detailed modules, please read [collection module description](https://github.com/shmilylty/OneForAll/tree/master/docs/collection_modules.md))

The OneForAll command line interface is based on [Fire](https://github.com/google/python-fire/). For more advanced usage of Fire, please refer to [using the Fire CLI](https://github.com/google/Python-fire/blob/master/docs/using-cli.md), if you have any doubts during the use, please feel free to give me feedback.

[oneforall.py](https://github.com/shmilylty/OneForAll/tree/master/oneforall.py) is the main program entry, and oneforall.py can call [brute.py](https://github.com/shmilylty/OneForAll/tree/master/brute.py), [takerover.py](https://github.com/shmilylty/OneForAll/tree/master/takerover.py) and [dbexport.py ](https://github.com/shmilylty/OneForAll/tree/master/dbexport.py) and other modules, in order to facilitate the sub-field blasting, brute.py is isolated independently, in order to facilitate the subdomain takeover risk check independently takeover.py, in order to facilitate the database export independently dbexport.py, these modules can be run separately, and the parameters accepted are more abundant, if you want to use these modules separately, please refer to the [usage help](https://github.com/shmilylty/OneForAll/tree/master/docs/en-us/usage_help.md).

❗ Note: When you encounter some problems or doubts during use, please use [Issues](https://github.com/shmilylty/OneForAll/issues) to search for answers. Also see [Q&troubleshooting.md](https://github.com/shmilylty/OneForAll/tree/master/docs/Q&troubleshooting.md).

**oneforall.py help**

The following help information may not be up to date. You can use `python oneforall.py --help` to get the latest help information.

```bash
python oneforall.py --help
```
```bash
NAME
    oneforall.py - OneForAll help summary page

SYNOPSIS
    oneforall.py COMMAND | --target=TARGET <flags>

DESCRIPTION
    OneForAll is a powerful subdomain collection tool

    Example:
        python3 oneforall.py version
        python3 oneforall.py --target example.com run
        python3 oneforall.py --target ./domains.txt run
        python3 oneforall.py --target example.com --alive False run
        python3 oneforall.py --target example.com --brute True run
        python3 oneforall.py --target example.com --port medium run
        python3 oneforall.py --target example.com --format csv run
        python3 oneforall.py --target example.com --dns False run
        python3 oneforall.py --target example.com --req False run
        python3 oneforall.py --target example.com --takeover False run
        python3 oneforall.py --target example.com --show True run

    Note:
        --alive  True/False           Only export alive subdomains or not (default False)
        --port   default/small/large  See details in ./config/setting.py(default port 80)
        --format rst/csv/tsv/json/yaml/html/jira/xls/xlsx/dbf/latex/ods (result format)
        --path   Result directory (default directory is ./results)

ARGUMENTS
    TARGET
        One domain or File path of one domain per line (required)

FLAGS
    --brute=BRUTE
        Use brute module (default False)
    --dns=DNS
        Use DNS resolution (default True)
    --req=REQ
        HTTP request subdomains (default True)
    --port=PORT
        The port range request to the subdomains (default port 80)
    --alive=ALIVE
        Only export alive subdomains (default False)
    --format=FORMAT
        Result format (default csv)
    --path=PATH
        Result directory (default None)
    --takeover=TAKEOVER
        Scan subdomain takeover (default False)
```

## 🌲Directory structure

For the description of the project's directory structure, please refer to [directory_structure](https://github.com/shmilylty/OneForAll/tree/master/docs/directory_structure.md).

Description of the source of the subdomain dictionary::

1. Some high frequency subdomain name dictionary in open source subdomain collection tool.
2. List of the most popular subdomains published by relevant service providers online.
 * [DNSPod](https://github.com/DNSPod/oh-my-free-data)
3. Online research results by security researchers on common subdomains throughout the network.
 * [the_most_popular_subdomains_on_the_internet](https://bitquark.co.uk/blog/2016/02/29/the_most_popular_subdomains_on_the_internet)
 * [The most popular subdomains on the internet (2017 edition)](https://medium.com/@cmeister2/the-most-popular-subdomains-on-the-internet-2017-edition-a6b9c8a20fd8)
4. Common business naming rules:
 * single letter, single letter + single number, double letter, double letter + single number, double letter + double number, three letters, four letters. 
 * single-digit, double-digit, triple-digit. 
5. The names of tools and software that are common in companies or in DevOps. 
6. Common Chinese words Pinyin and common English words.
7. Optimize sorting and dirty data removal from the dictionary obtained above.
8. You are very welcome to contribute a better dictionary.

## 👏Framework used

* [aiodns](https://github.com/saghul/aiodns) - aiodns provides a simple way for doing asynchronous DNS resolutions using [pycares](https://github.com/saghul/pycares). 
* [aiohttp](https://github.com/aio-libs/aiohttp) -  Asynchronous HTTP client/server framework for asyncio and Python 
* [aiomultiprocess](https://github.com/jreese/aiomultiprocess) -  Take a modern Python codebase to the next level of performance. (Multiprocessing and asyncio combine to implement asynchronous multi-process multi-coroutine)
* [beautifulsoup4](https://pypi.org/project/beautifulsoup4/) -  Beautiful Soup is a library that makes it easy to scrape information from web pages. 
* [fire](https://github.com/google/python-fire) -  Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object. 
* [loguru](https://github.com/Delgan/loguru) -  Loguru is a library which aims to bring enjoyable logging in Python. 
* [massdns](https://github.com/blechschmidt/massdns) - A high-performance DNS stub resolver
* [records](https://github.com/kennethreitz/records) -  Records is a very simple, but powerful, library for making raw SQL queries to most relational databases.
* [requests](https://github.com/psf/requests) -  A simple, yet elegant HTTP library. 
* [tqdm](https://github.com/tqdm/tqdm) -  A Fast, Extensible Progress Bar for Python and CLI 

Thanks to these great excellent Python libraries!

## 🙏Contribution

Very warmly welcome all ace to improve the project together!

## ⌛Follow-up plan

- [ ] Continuous optimization and improvement of each module
- [x] Subdomain monitoring (marking each newly discovered subdomain)
- [ ] Subdomain collection crawler implementation (including collection of subdomains from static resource files such as JS)
- [ ] Implementation of front-end interface for powerful interaction (tentative: front-end: Element + back-end: Flask)

For more details, see [todo.md](https://github.com/shmilylty/OneForAll/tree/master/docs/todo.md).

## 🔖Version control

The project uses [SemVer](https://semver.org/) language version format for version management), and you can view the available version in [Releases](https://github.com/shmilylty/OneForAll/releases), You can check [changes.md](https://github.com/shmilylty/OneForAll/tree/master/docs/changes.md)) for historical changes.

## 👨‍💻Contributors

* **[Jing Ling](https://github.com/shmilylty)**
  * Core development

You can see all the developers involved in the project in [contributors.md](https://github.com/shmilylty/OneForAll/tree/master/docs/contributors.md).

## 📄License

The project has signed a GPL-3.0 license, for more information, please see [LICENSE](https://github.com/shmilylty/OneForAll/LICENSE).

## 😘Acknowledgement

Thanks to the various subdomain collection projects of online open source!

Thanks ace of [A-Team](https://github.com/QAX-A-Team) for their enthusiastic and unselfish answers!

## 📜Disclaimer

This tool is limited to legally authorized enterprise security construction. In the process of using this tool, you should ensure that all your actions comply with local laws and regulations and have obtained sufficient authorization.
If you have any illegal behavior in the process of using this tool, you are responsible for all consequences, and all authors and all contributors of this tool do not assume any legal and joint responsibility.
Unless you have fully read, fully understood and accepted all the terms of this Agreement, please do not install and use this tool.
Your use or any other express or implied representation of you to this Agreement is deemed to have been read and agreed to be bound by this Agreement.

## 💖Stargazers over time

[![Stargazers over time](https://starchart.cc/shmilylty/OneForAll.svg)](https://starchart.cc/shmilylty/OneForAll)