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@@ -157,24 +157,25 @@ The OneForAll command line interface is based on [Fire](https://github.com/googl
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```
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```bash
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NAME
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oneforall.py - OneForAll is a powerful subdomain collection tool
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oneforall.py - OneForAll help Information
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SYNOPSIS
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oneforall.py --target=TARGET <flags>
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DESCRIPTION
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Version: 0.0.8
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Project: https://git.io/fjHT1
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OneForAll is a powerful subdomain collection tool
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Example:
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python3 oneforall.py version
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python3 oneforall.py --target example.com run
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python3 oneforall.py --target ./domains.txt run
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python3 oneforall.py --target example.com --valid None run
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python3 oneforall.py --target example.com --brute True run
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python3 oneforall.py --target example.com --port small run
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python3 oneforall.py --target example.com --format csv run
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python3 oneforall.py --target example.com --dns False run
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python3 oneforall.py --target example.com --req False run
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python3 oneforall.py --target example.com --valid None run
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python3 oneforall.py --target example.com --port medium run
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python3 oneforall.py --target example.com --format csv run
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python3 oneforall.py --target example.com --takeover False run
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python3 oneforall.py --target example.com --show True run
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Note:
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@@ -187,6 +188,7 @@ The OneForAll command line interface is based on [Fire](https://github.com/googl
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If the parameter path is None, the appropriate file is generated in the
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project result directory based on the format parameter and the domain
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name.
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Parameter path default None uses the OneForAll result directory generation path
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ARGUMENTS
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TARGET
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@@ -203,10 +205,10 @@ The OneForAll command line interface is based on [Fire](https://github.com/googl
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Port range for request authentication (default 80 port)
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--valid=VALID
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Export validity of subdomains (default None)
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--path=PATH
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Export path (default None)
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--format=FORMAT
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Export format (default xls)
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--path=PATH
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Export path (default None)
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--takeover=TAKEOVER
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Check subdomain takeover (default False)
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--show=SHOW
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@@ -222,7 +224,7 @@ The OneForAll command line interface is based on [Fire](https://github.com/googl
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- Third, considering the blasting efficiency, there is no HTTP response volume similarity comparison and response volume content judgment, this function has not been implemented yet, and will be implemented if necessary.
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After not rigorous testing, in the 16-core CPU, using 16 processes 64 coroutines, 100M network bandwidth environment, set the task to be divided into 50000, run two million dictionaries about 10 minutes to run, about 3333 subdomains per second.
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After not rigorous testing, in the 16-core CPU, using 16 processes 64 coroutines, 100M network bandwidth environment, run two million dictionaries about 10 minutes to run, about 3333 subdomains per second.
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```bash
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python aiobrute.py --help
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