Working with file redirection works just like in Python.
Author
This project has been developed by: Josué Encinar García -- @JosueEncinar (https://twitter.com/JosueEncinar)
Disclaimer!
This is a PoC. The author is not responsible for any illegitimate use.
Download AnalyticsRelationships (https://github.com/Josue87/AnalyticsRelationships)
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Author
This project has been developed by: Josué Encinar García -- @JosueEncinar (https://twitter.com/JosueEncinar)
Disclaimer!
This is a PoC. The author is not responsible for any illegitimate use.
Download AnalyticsRelationships (https://github.com/Josue87/AnalyticsRelationships)
___________________________
@hacking_Attack
@Hacking_Video
Hacking Articles Tips Tricks Videos Tutorials
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Black Hat Ethical Hacking
OSINT Tool: LinkedIn Scraper
https://www.blackhatethicalhacking.com/wp-content/uploads/2017/11/black-hat-locks-and-electronics.jpg OSINT Tool: LinkedIn ScraperPost Views: 241 https://www.blackhatethicalhacking.com/wp-content/uploads/2020/11/BECOME-A-PATRON-AND-UNLOCK-EXCLUSIVE-VIDEOS-8-1-300x120.png Reading Time: 5 Minutes
OSINT Tool: LinkedIn Scraper GitHub Link
Linkedin Scraper
LinkedIn Scraper by joeyism, is a library that scrapes LinkedIn for user data using only the terminal and Selenium for really fast data extracted publicly. As part of OSINT, ‘Reconnaissance’ is the most important part to learn and study about a person or a company, as part of an investigation, or even used to simulate targeted Phishing attacks. All this info is Open Source Intelligence techniques, thinking outside the box and using custom code to perform specific outcome.
Want to know how your coverage looks like to the public?
This is the tool to use, giving you more visibility on your company or an individual. It uses advanced techniques like bypassing the mechanisms so that you can use a cookie and authenticate through the terminal using selenium going through fields that are available already on LinkedIn.
Installation
pip3 install --user linkedin_scraper
Version 2.0.0 and before is called
First, you must set your chromedriver location by
export CHROMEDRIVER=~/chromedriver
Usage
To use it, just create the class.
Sample Usage
fromlinkedin_scraperimportPerson, actionsfromseleniumimportwebdriverdriver=webdriver.Chrome() email= "some-email@email.address"password= "password123"actions.login(driver, email, password) # if email and password isn'tgiven, it'll prompt in terminalperson=Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5", driver=driver)
NOTE: The account used to log-in should have it’s language set English to make sure everything works as expected.
User Scraping
from linkedin_scraper import Person person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5")
Company Scraping
from linkedin_scraper import Company company = Company("https://ca.linkedin.com/company/google")
Scraping sites where login is required first
1. Run
3.
from linkedin_scraper import Person
from selenium import webdriver
driver = webdriver.Chrome()
person = Person(“https://www.linkedin.com/in/andre-iguodala-65b48ab5”, driver = driver, scrape=False)
4. Login to LinkedIn
5. [OPTIONAL] Logout of LinkedIn
6. In the same
person.scrape()
The reason is that LinkedIn has recently blocked people from viewing certain profiles without having previously signed in. So by setting
NOTE: For version >=
person.scrape(close_on_complete=False)
so it doesn’t close.
Scraping sites and[...]
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OSINT Tool: LinkedIn Scraper
https://www.blackhatethicalhacking.com/wp-content/uploads/2017/11/black-hat-locks-and-electronics.jpg OSINT Tool: LinkedIn ScraperPost Views: 241 https://www.blackhatethicalhacking.com/wp-content/uploads/2020/11/BECOME-A-PATRON-AND-UNLOCK-EXCLUSIVE-VIDEOS-8-1-300x120.png Reading Time: 5 Minutes
OSINT Tool: LinkedIn Scraper GitHub Link
Linkedin Scraper
LinkedIn Scraper by joeyism, is a library that scrapes LinkedIn for user data using only the terminal and Selenium for really fast data extracted publicly. As part of OSINT, ‘Reconnaissance’ is the most important part to learn and study about a person or a company, as part of an investigation, or even used to simulate targeted Phishing attacks. All this info is Open Source Intelligence techniques, thinking outside the box and using custom code to perform specific outcome.
Want to know how your coverage looks like to the public?
This is the tool to use, giving you more visibility on your company or an individual. It uses advanced techniques like bypassing the mechanisms so that you can use a cookie and authenticate through the terminal using selenium going through fields that are available already on LinkedIn.
Installation
pip3 install --user linkedin_scraper
Version 2.0.0 and before is called
linkedin_user_scraperand can be installed via pip3 install --user linkedin_user_scraperSetupFirst, you must set your chromedriver location by
export CHROMEDRIVER=~/chromedriver
Usage
To use it, just create the class.
Sample Usage
fromlinkedin_scraperimportPerson, actionsfromseleniumimportwebdriverdriver=webdriver.Chrome() email= "some-email@email.address"password= "password123"actions.login(driver, email, password) # if email and password isn'tgiven, it'll prompt in terminalperson=Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5", driver=driver)
NOTE: The account used to log-in should have it’s language set English to make sure everything works as expected.
User Scraping
from linkedin_scraper import Person person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5")
Company Scraping
from linkedin_scraper import Company company = Company("https://ca.linkedin.com/company/google")
Scraping sites where login is required first
1. Run
ipythonor python2. In ipython/python, run the following code (you can modify it if you need to specify your driver)3.
from linkedin_scraper import Person
from selenium import webdriver
driver = webdriver.Chrome()
person = Person(“https://www.linkedin.com/in/andre-iguodala-65b48ab5”, driver = driver, scrape=False)
4. Login to LinkedIn
5. [OPTIONAL] Logout of LinkedIn
6. In the same
ipython/python code, runperson.scrape()
The reason is that LinkedIn has recently blocked people from viewing certain profiles without having previously signed in. So by setting
scrape=False, it doesn’t automatically scrape the profile, but Chrome will open the LinkedIn page anyways. You can login and logout, and the cookie will stay in the browser and it won’t affect your profile views. Then when you run person.scrape(), it’ll scrape and close the browser. If you want to keep the browser on so you can scrape others, run it asNOTE: For version >=
2.1.0, scraping can also occur while logged in. Beware that users will be able to see that you viewed their profile.person.scrape(close_on_complete=False)
so it doesn’t close.
Scraping sites and[...]
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Linkedin
Google | LinkedIn
Google | 39,745,923 followers on LinkedIn. A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy…
Hacking Articles Tips Tricks Videos Tutorials
Black Hat Ethical Hacking OSINT Tool: LinkedIn Scraper https://www.blackhatethicalhacking.com/wp-content/uploads/2017/11/black-hat-locks-and-electronics.jpg OSINT Tool: LinkedIn ScraperPost Views: 241 https://www.blackhatethicalhacking.com/wp-content/upl…
login automatically
From version 2.4.0 on,
from linkedin_scraper import Person, actions from selenium import webdriver driver = webdriver.Chrome() email = "some-email@email.address" password = "password123" actions.login(driver, email, password) # if email and password isnt given, it'll prompt in terminal person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5", driver=driver)
API
Person
A Person object can be created with the following inputs:
Person(linkedin_url=None, name=None, about=[], experiences=[], educations=[], interests=[], accomplishments=[], company=None, job_title=None, driver=None, scrape=True)
For example
driver = webdriver.Chrome() person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5", driver = driver)
Company
Company(linkedin_url=None, name=None, about_us=None, website=None, headquarters=None, founded=None, company_type=None, company_size=None, specialties=None, showcase_pages=[], affiliated_companies=[], driver=None, scrape=True, get_employees=True)
For example
driver = webdriver.Chrome() company = Company("https://ca.linkedin.com/company/google", driver=driver)
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From version 2.4.0 on,
actionsis a part of the library that allows signing into LinkedIn first. The email and password can be provided as a variable into the function. If not provided, both will be prompted in terminal.from linkedin_scraper import Person, actions from selenium import webdriver driver = webdriver.Chrome() email = "some-email@email.address" password = "password123" actions.login(driver, email, password) # if email and password isnt given, it'll prompt in terminal person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5", driver=driver)
API
Person
A Person object can be created with the following inputs:
Person(linkedin_url=None, name=None, about=[], experiences=[], educations=[], interests=[], accomplishments=[], company=None, job_title=None, driver=None, scrape=True)
linkedin_urlThis is the linkedin url of their profile nameThis is the name of the person aboutThis is the small paragraph about the person experiencesThis is the past experiences they have. A list of linkedin_scraper.scraper.ExperienceeducationsThis is the past educations they have. A list of linkedin_scraper.scraper.EducationinterestsThis is the interests they have. A list of linkedin_scraper.scraper.InterestaccomplishmentThis is the accomplishments they have. A list of linkedin_scraper.scraper.AccomplishmentcompanyThis the most recent company or institution they have worked at. job_titleThis the most recent job title they have. driverThis is the driver from which to scraper the LinkedIn profile. A driver using Chrome is created by default. However, if a driver is passed in, that will be used instead.For example
driver = webdriver.Chrome() person = Person("https://www.linkedin.com/in/andre-iguodala-65b48ab5", driver = driver)
scrapeWhen this is True, the scraping happens automatically. To scrape afterwards, that can be run by the scrape()function from the Personobject. scrape(close_on_complete=True)This is the meat of the code, where execution of this function scrapes the profile. If close_on_complete is True (which it is by default), then the browser will close upon completion. If scraping of other profiles are desired, then you might want to set that to false so you can keep using the same driver.Company
Company(linkedin_url=None, name=None, about_us=None, website=None, headquarters=None, founded=None, company_type=None, company_size=None, specialties=None, showcase_pages=[], affiliated_companies=[], driver=None, scrape=True, get_employees=True)
linkedin_urlThis is the linkedin url of their profile nameThis is the name of the company about_usThe description of the company websiteThe website of the company headquartersThe headquarters location of the company foundedWhen the company was founded company_typeThe type of the company company_sizeHow many people are employed at the company specialtiesWhat the company specializes in showcase_pagesPages that the company owns to showcase their products affiliated_companiesOther companies that are affiliated with this one driverThis is the driver from which to scraper the Linkedin profile. A driver using Chrome is created by default. However, if a driver is passed in, that will be used instead. get_employeesWhether to get all the employees of companyFor example
driver = webdriver.Chrome() company = Company("https://ca.linkedin.com/company/google", driver=driver)
scrape(close_on_complete=True)This is the meat of the code, where execution of this function scrapes the company. If close_on_complete is True (which it is by defa[...]___________________________
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Hacking Articles Tips Tricks Videos Tutorials
login automatically From version 2.4.0 on, actionsis a part of the library that allows signing into LinkedIn first. The email and password can be provided as a variable into the function. If not provided, both will be prompted in terminal. from linkedin_scraper…
ult), then the browser will close upon completion. If scraping of other companies are desired, then you might want to set that to false so you can keep using the same driver. Recent Tools* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/05/sna-768x373-1-90x90.png Offensive Security Tool: Snallygaster1 week ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/05/image_2021-05-14_115500-90x90.png Offensive Security Tool: Breacher2 weeks ago
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* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/04/image1-90x90.png Offensive Security Tool: ADFSBrute1 month ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/04/logo-90x90.png Offensive Security Tool: Hunt1 month ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/04/85207007-711b0b80-b343-11ea-82f3-49aa5d5d719b-90x90.png Offensive Security Tool: CVE Binary Tool by Intel2 months ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/04/help-1-90x90.png Offensive Security Tool: DirDar2 months ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/03/intro-90x90.png Information Security Tool: Chameleon2 months ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/03/skipfish_screenshot-90x90.png Offensive Security Tool: Skipfish3 months ago
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* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/05/image_2021-05-14_115500-90x90.png Offensive Security Tool: Breacher2 weeks ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/05/image_2021-05-07_124858-90x90.png Offensive Security Tool: EyeWitness3 weeks ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/04/Selection_017-90x90.png Offensive Security Tool: SSHPry2.04 weeks ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/04/image1-90x90.png Offensive Security Tool: ADFSBrute1 month ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/04/logo-90x90.png Offensive Security Tool: Hunt1 month ago
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* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/04/help-1-90x90.png Offensive Security Tool: DirDar2 months ago
* https://www.blackhatethicalhacking.com/wp-content/uploads/2021/03/intro-90x90.png Information Security Tool: Chameleon2 months ago
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Hacking Articles Tips Tricks Videos Tutorials
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Hacking on Medium
[Reddit Sessions — Comment Review News Comedy] Top U.S.
https://cdn-images-1.medium.com/max/1920/1*QaUSyf88KfrZWvaVyyoomg.jpeg
! Trigger Warning — [A conversation ensued that cared very little that something bad happened to a corporation; A depiction of personally…
Continue reading on Medium »
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[Reddit Sessions — Comment Review News Comedy] Top U.S.
https://cdn-images-1.medium.com/max/1920/1*QaUSyf88KfrZWvaVyyoomg.jpeg
! Trigger Warning — [A conversation ensued that cared very little that something bad happened to a corporation; A depiction of personally…
Continue reading on Medium »
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Medium
[Reddit Sessions — Comment Review News Comedy] Top U.S. pipeline operator shuts major fuel line after cyber attack
! Trigger Warning — [A conversation ensued that cared very little that something bad happened to a corporation; A depiction of personally…
Hacking Articles Tips Tricks Videos Tutorials
Photo
Hacking on Medium
Command Line Helper Tools for Developer and SysAdmin
https://cdn-images-1.medium.com/max/1920/1*akRaxRFjsEJF7mHHDdsgzg.png
Open source command-line utilities to get technical tips and answers instantly.
Continue reading on Medium »
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Command Line Helper Tools for Developer and SysAdmin
https://cdn-images-1.medium.com/max/1920/1*akRaxRFjsEJF7mHHDdsgzg.png
Open source command-line utilities to get technical tips and answers instantly.
Continue reading on Medium »
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Medium
Command Line Helper Tools for Developer and SysAdmin
Open source command-line utilities to get technical tips and answers instantly.
Hacking Articles Tips Tricks Videos Tutorials
Photo
KitPloit - PenTest Tools!
AnalyticsRelationships - Get Related Domains / Subdomains By Looking At Google Analytics IDs
https://1.bp.blogspot.com/-QXJyXtlHV9I/YKr0HodWYtI/AAAAAAAAWRg/ALM_RaZFnEAwVz1qj3dyGaHXqJ3tLVNFACNcBGAsYHQ/w640-h422/AnalyticsRelationships_5.png
subdomains by looking at Google Analytics IDs > Python/GO versions > By @JosueEncinar ">
This script try to get related domains / subdomains by looking at Google Analytics IDs from a URL. First search for ID of Google Analytics in the webpage and then request to builtwith with the ID.
Note: It does not work with all websites.It is searched by the following expressions:
GTM-[A-Z0-9]+ -> "UA-\d+-\d+" ">
Available versions:
* Python
* GO
Installation:
Installation according to language.
Python
GO
Usage
Usage according to language
Python
Or redirect output to a file (banner or information messages are sent to the error output):
GO
Or redirect output to a file (banner or information messages are sent to the error output):
Examples
Python
Output redirection to file /tmp/example.txt:
https://1.bp.blogspot.com/-y5SYVH3r9YE/YKr0QBP6i4I/AAAAAAAAWRk/IJCGbgDhnKY97xCAVjxvh6zGtHfDkhRGwCNcBGAsYHQ/w640-h232/AnalyticsRelationships_4.png
Without redirection:
https://1.bp.blogspot.com/-by9g4hAqs-Q/YKr0TERB9eI/AAAAAAAAWRo/Ie-bH-EB_W8j4WoTwq5pURXi3Ima9DqjQCNcBGAsYHQ/w640-h422/AnalyticsRelationships_5.png
GO
Without redirection:
https://1.bp.blogspot.com/-tFqwCwv0_do/YKr0WIoXgxI/AAAAAAAAWRs/CjwpCxi11TMSn1Mc0Y4j4b_wT0BjmKhnwCNcBGAsYHQ/w640-h566/AnalyticsRelationships_6.png
Working with file redirection works just like in Python.
Author
This project has been developed by:
* Josué Encinar García -- @JosueEncinar
Disclaimer!
This is a PoC. The author is not responsible for any illegitimate use.
Download AnalyticsRelationships
___________________________
@hacking_Attack
@Hacking_Video
AnalyticsRelationships - Get Related Domains / Subdomains By Looking At Google Analytics IDs
https://1.bp.blogspot.com/-QXJyXtlHV9I/YKr0HodWYtI/AAAAAAAAWRg/ALM_RaZFnEAwVz1qj3dyGaHXqJ3tLVNFACNcBGAsYHQ/w640-h422/AnalyticsRelationships_5.png
subdomains by looking at Google Analytics IDs > Python/GO versions > By @JosueEncinar ">
> Get related domains / subdomains by looking at Google Analytics IDs
> Python/GO versions
> By @JosueEncinar
This script try to get related domains / subdomains by looking at Google Analytics IDs from a URL. First search for ID of Google Analytics in the webpage and then request to builtwith with the ID.
Note: It does not work with all websites.It is searched by the following expressions:
GTM-[A-Z0-9]+ -> "UA-\d+-\d+" ">
-> "www\.googletagmanager\.com/ns\.html\?id=[A-Z0-9\-]+"
-> GTM-[A-Z0-9]+
-> "UA-\d+-\d+"
Available versions:
* Python
* GO
Installation:
Installation according to language.
Python
> git clone https://github.com/Josue87/AnalyticsRelationships.git
> cd AnalyticsRelationships/Python
> sudo pip3 install -r requirements.txt
GO
> git clone https://github.com/Josue87/AnalyticsRelationships.git
> cd AnalyticsRelationships/GO
> go build -ldflags "-s -w"
Usage
Usage according to language
Python
> python3 analyticsrelationships.py -u https://www.example.com
Or redirect output to a file (banner or information messages are sent to the error output):
python3 analyticsrelationships.py -u https://www.example.com > /tmp/example.txt
GO
> ./analyticsrelationships --url https://www.example.com
Or redirect output to a file (banner or information messages are sent to the error output):
> ./analyticsrelationships --url https://www.example.com > /tmp/example.txt
Examples
Python
Output redirection to file /tmp/example.txt:
https://1.bp.blogspot.com/-y5SYVH3r9YE/YKr0QBP6i4I/AAAAAAAAWRk/IJCGbgDhnKY97xCAVjxvh6zGtHfDkhRGwCNcBGAsYHQ/w640-h232/AnalyticsRelationships_4.png
Without redirection:
https://1.bp.blogspot.com/-by9g4hAqs-Q/YKr0TERB9eI/AAAAAAAAWRo/Ie-bH-EB_W8j4WoTwq5pURXi3Ima9DqjQCNcBGAsYHQ/w640-h422/AnalyticsRelationships_5.png
GO
Without redirection:
https://1.bp.blogspot.com/-tFqwCwv0_do/YKr0WIoXgxI/AAAAAAAAWRs/CjwpCxi11TMSn1Mc0Y4j4b_wT0BjmKhnwCNcBGAsYHQ/w640-h566/AnalyticsRelationships_6.png
Working with file redirection works just like in Python.
Author
This project has been developed by:
* Josué Encinar García -- @JosueEncinar
Disclaimer!
This is a PoC. The author is not responsible for any illegitimate use.
Download AnalyticsRelationships
___________________________
@hacking_Attack
@Hacking_Video
KitPloit - PenTest & Hacking Tools
AnalyticsRelationships - Get Related Domains / Subdomains By Looking At Google Analytics IDs
Abusing LNK "Features" for Initial Access and Persistence
https://www.reddit.com/r/redteamsec/comments/nmyj4j/abusing_lnk_features_for_initial_access_and/
submitted by /u/v3ded (https://www.reddit.com/user/v3ded)
[link] (https://v3ded.github.io/redteam/abusing-lnk-features-for-initial-access-and-persistence) [comments] (https://www.reddit.com/r/redteamsec/comments/nmyj4j/abusing_lnk_features_for_initial_access_and/)
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https://www.reddit.com/r/redteamsec/comments/nmyj4j/abusing_lnk_features_for_initial_access_and/
submitted by /u/v3ded (https://www.reddit.com/user/v3ded)
[link] (https://v3ded.github.io/redteam/abusing-lnk-features-for-initial-access-and-persistence) [comments] (https://www.reddit.com/r/redteamsec/comments/nmyj4j/abusing_lnk_features_for_initial_access_and/)
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reddit
Abusing LNK "Features" for Initial Access and Persistence
Posted in r/redteamsec by u/v3ded • 29 points and 5 comments
Deep Web
do you know any Chan .onion?
Please send the link, I am very curious to see how it is
submitted by /u/Pepedro890
[link] [comments]
do you know any Chan .onion?
Please send the link, I am very curious to see how it is
submitted by /u/Pepedro890
[link] [comments]
Reddit
From the deepweb community on Reddit
Explore this post and more from the deepweb community
Deep Web
Looking for an Old Friend
I'm currently looking for an old friend of mine but I forget their last name and the school we went to wont release registrar information to me. Would anyone know how I can go about contacting someone who sells a service where they can get me this information?
submitted by /u/crimmson_ghost
[link] [comments]
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Looking for an Old Friend
I'm currently looking for an old friend of mine but I forget their last name and the school we went to wont release registrar information to me. Would anyone know how I can go about contacting someone who sells a service where they can get me this information?
submitted by /u/crimmson_ghost
[link] [comments]
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reddit
Looking for an Old Friend
I'm currently looking for an old friend of mine but I forget their last name and the school we went to wont release registrar information to me....
AnalyticsRelationships - Get Related Domains / Subdomains By Looking At Google Analytics IDs
subdomains by looking at Google Analytics IDs > Python/GO versions > By @JosueEncinar ">> Get related domains / subdomains by looking at Google Analytics IDs> Python/GO versions> By @JosueEncinar This script try to get related domains / subdomains by looking at Google Analytics IDs from a URL. First search for ID of Google Analytics in the webpage and then request to builtwith with the ID. Note: It does not work with all websites.It is searched by the following expressions: -> "www\.googletagmanager\.com/ns\.html\?id=A-Z0-9\-+"-> GTM-A-Z0-9+-> "UA-\d+-\d+" Available versions: Python GO Installation: Installation according to language. Python > git clone https://github.com/Josue87/AnalyticsRelationships.git> cd AnalyticsRelationships/Python> sudo pip3 install -r requirements.txt GO > git clone https://github.com/Josue87/AnalyticsRelationships.git> cd AnalyticsRelationships/GO> go build -ldflags "-s -w" Usage Usage according to language Python > python3 analyticsrelationships.py -u https://www.example.com Or redirect output to a file (banner or information messages are sent to the error output): python3 analyticsrelationships.py -u https://www.example.com > /tmp/example.txt GO > ./analyticsrelationships --url https://www.example.com Or redirect output to a file (banner or information messages are sent to the error output): > ./analyticsrelationships --url https://www.example.com > /tmp/example.txt Examples Python Output redirection to file /tmp/example.txt: Without redirection:GO Without redirection: Working with file redirection works just like in Python. Author This project has been developed by: Josué Encinar García -- @JosueEncinar Disclaimer! This is a PoC. The author is not responsible for any illegitimate use. Download AnalyticsRelationships
Read more...
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subdomains by looking at Google Analytics IDs > Python/GO versions > By @JosueEncinar ">> Get related domains / subdomains by looking at Google Analytics IDs> Python/GO versions> By @JosueEncinar This script try to get related domains / subdomains by looking at Google Analytics IDs from a URL. First search for ID of Google Analytics in the webpage and then request to builtwith with the ID. Note: It does not work with all websites.It is searched by the following expressions: -> "www\.googletagmanager\.com/ns\.html\?id=A-Z0-9\-+"-> GTM-A-Z0-9+-> "UA-\d+-\d+" Available versions: Python GO Installation: Installation according to language. Python > git clone https://github.com/Josue87/AnalyticsRelationships.git> cd AnalyticsRelationships/Python> sudo pip3 install -r requirements.txt GO > git clone https://github.com/Josue87/AnalyticsRelationships.git> cd AnalyticsRelationships/GO> go build -ldflags "-s -w" Usage Usage according to language Python > python3 analyticsrelationships.py -u https://www.example.com Or redirect output to a file (banner or information messages are sent to the error output): python3 analyticsrelationships.py -u https://www.example.com > /tmp/example.txt GO > ./analyticsrelationships --url https://www.example.com Or redirect output to a file (banner or information messages are sent to the error output): > ./analyticsrelationships --url https://www.example.com > /tmp/example.txt Examples Python Output redirection to file /tmp/example.txt: Without redirection:GO Without redirection: Working with file redirection works just like in Python. Author This project has been developed by: Josué Encinar García -- @JosueEncinar Disclaimer! This is a PoC. The author is not responsible for any illegitimate use. Download AnalyticsRelationships
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GitHub - Josue87/AnalyticsRelationships: Get related domains / subdomains by looking at Google Analytics IDs
Get related domains / subdomains by looking at Google Analytics IDs - Josue87/AnalyticsRelationships