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This article shows you how Pigat does passive information gathering. The content is concise and easy to understand. It will definitely make your eyes shine. I hope you can learn something from the detailed introduction of this article.

I. Introduction

Today, I will introduce a passive information collection tool: Pigat, which collects passive information on targets by crawling target URLs on third-party websites such as filing query websites and subdomain query websites. The tool was updated to version 2.0 on March 21, 2020, which uses Scrapy framework development, coroutine processing, runs faster, supports file export, fixes multiple bugs, and adds multiple features. The original intention of developing this tool is that when using some third-party websites to collect target information, it is often necessary to use multiple websites to collect target information, such as online Whois information query website, online CMS information query website, target information on Shodan, etc. In this way, it will increase a lot of repetitive workload, so this tool was developed to aggregate commonly used websites into one tool.

Download address: github.com/teamssix/pigat

II. Installation process

1. Copy to local installation package

git clone https://github.com/teamssix/pigat.git

2. Install the required modules

pip3 install -r requirements.txt

III. Usage

1、python3 start.py -u xxx.com

Passive collection of filing information

passively collecting Whois information

Passive collection of subdomain information

Passive collection of subdomain IP information

Passive collection of subdomain CMS information

Passively collecting information about the Shodan subdomain

Passive collection of subdomain vulnerability information

2. Select the number to execute

That's how Pigat does passive information gathering. Have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserves, please pay attention to the industry information channel.

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