URL: https://xijing.com.cn
Category: Crime
SubCategory: Theft
Language: Chinese
App: jQuery
Sentiment: Good
Prevalent audience:
Age: 25-55
Gender: all

URL: https://xigmanas.com
Category: Crime
SubCategory: Theft
Language: English
Server: Apache
App: WordPress
Sentiment: Neutral
Prevalent audience:
Age: 25-55
Gender: all

URL: https://xiaoyaoqiankun.com
Category: Crime
SubCategory: Assault
Language:
Server: wts
App: Zendesk
Sentiment: Good
Prevalent audience:
Age: 25-50
Gender: male

URL: https://wyman.info
Category: Crime
SubCategory: Cybercrime
Language: Japanese
Server: nginx
App: WordPress
Sentiment: Good
Prevalent audience:
Age: 25-40
Gender: male

URL: https://www.thephantom.io
Category: Crime
SubCategory: Crime Prevention
Language: English
Server: Squarespace
App: Squarespace
Sentiment: Good
Prevalent audience:
Age: 30-50
Gender: male

URL: https://www.publicsafety.upenn.edu
Category: Crime
SubCategory: Law Enforcement
Language: English
Server: nginx
App: WordPress
Prevalent audience:
Age: 25-45
Gender: male

URL: https://www.publicsafety.fsu.edu
Category: Crime
SubCategory: Crime Prevention
Language: English
Server: nginx
App: Drupal
Prevalent audience:
Age: 30-50
Gender: male

URL: https://www.police.ucsb.edu
Category: Crime
SubCategory: Law Enforcement
Language: English
Server: nginx
App: Drupal
Prevalent audience:
Age: 25-45
Gender: male

URL: https://www.ilrc.ucf.edu
Category: Crime
SubCategory: Forensics
Language: English
Server: Apache
App: WordPress
Prevalent audience:
Age: 25-40
Gender: female

URL: https://www.gov.im
Category: Crime
SubCategory: Hacking
Language:
Server: volt-adc
Sentiment: Good
Prevalent audience:
Age: 18-40
Gender: male

URL: https://www.emergency.osu.edu
Category: Crime
SubCategory: Law Enforcement
Language: English
Server: nginx
App: Drupal
Prevalent audience:
Age: 25-45
Gender: male

URL: https://www.clery.psu.edu
Category: Crime
SubCategory: Law Enforcement
Language: English
Server: Cloudflare
App: Drupal
Prevalent audience:
Age: 25-45
Gender: male

URL: https://www.clery.arizona.edu
Category: Crime
SubCategory: Crime Prevention
Language: English
Server: nginx
App: Drupal
Prevalent audience:
Age: 30-50
Gender: male

URL: https://www.alert.umd.edu
Category: Crime
SubCategory: Crime Prevention
Language: English
Server: nginx
App: Drupal
Prevalent audience:
Age: 30-50
Gender: male

URL: https://wvrecord.com
Category: Crime
SubCategory: True Crime
Language: English
App: Medium
Sentiment: Good
Prevalent audience:
Age: 25-55
Gender: female

URL: https://wtc7.net
Category: Crime
SubCategory: White Collar Crime
Language:
Server: Apache
App: Astro
Sentiment: Good
Prevalent audience:
Age: 30-50
Gender: male

URL: https://wpaonline.org
Category: Crime
SubCategory: Organized Crime
Language: English
Server: Flywheel
App: WordPress
Sentiment: Good
Prevalent audience:
Age: 30-55
Gender: male

URL: https://worthrises.org
Category: Crime
SubCategory: Organized Crime
Language: English
Server: Squarespace
App: Squarespace
Sentiment: Good
Prevalent audience:
Age: 30-55
Gender: male

URL: https://worldonionmarketplace.com
Category: Crime
SubCategory: Cybercrime
Language: English
Server: Cloudflare
App: Ember.js
Sentiment: Good
Prevalent audience:
Age: 25-40
Gender: male

URL: https://worldmarketurltor.com
Category: Crime
SubCategory: Cybercrime
Language: English
Server: Cloudflare
App: Ember.js
Sentiment: Neutral
Prevalent audience:
Age: 25-40
Gender: male

URL: https://worldmarketsonion.com
Category: Crime
SubCategory: Cybercrime
Language: English
Server: Cloudflare
App: Ember.js
Sentiment: Good
Prevalent audience:
Age: 25-40
Gender: male

URL: https://worldmarketsdarknet.com
Category: Crime
SubCategory: Cybercrime
Language: English
Server: Cloudflare
App: Ember.js
Sentiment: Good
Prevalent audience:
Age: 25-40
Gender: male

URL: https://worldcoalition.org
Category: Crime
SubCategory: Organized Crime
Language: English

URL: https://work-with-perpetrators.eu
Category: Crime
SubCategory: Domestic Violence
Language: English
Server: nginx
App: TYPO3
Sentiment: Good

URL: https://wo.to
Category: Crime
SubCategory: True Crime
Language:
Server: Apache
App: Ember.js
Sentiment: Good
Prevalent audience:
Age: 25-55
Gender: female