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A curated collection of JSON files containing lists of websites associated with malicious activities.

Home Page: https://thatsinewave.github.io/Malicious-URLs-DB/

License: MIT License

Python 18.48% HTML 24.79% JavaScript 33.28% CSS 23.45%
malicious-link mit-license open-source phishing-sites research good-first-issue good-first-pr good-first-project good-first-contribution phishing-attacks phishing-detection phishing-pages security security-tools scam-pages json-schema malicious-domains malicious-url malicious-url-detection thatsinewave

malicious-urls-db's Introduction

Malicious-Users-DB

This repository serves as a curated JSON file containing lists of websites associated with malicious activities. The list is compiled based on personal findings of the repository owner and are intended to help identify and mitigate threats posed by these sites.

malicious-users

Included Files:

  • Tool/exporter_script.py: This Python script extracts data from an Excel file (ExporterSheet.xlsx) and converts it into JSON format, populating the Compromised-Discord-Accounts.json file with details of compromised accounts found over time.

  • Compromised-Discord-Accounts.json: This JSON file contains the full list of details and info about all the compromised accounts found over time. Most of the compromised accounts in this list were used / are actively used in phishing campaigns.

  • index.html: HTML file for displaying the data in a table format.

  • script.js: JavaScript file for loading and rendering the JSON data into the HTML table, with sorting and sticky navigation functionality.

  • styles.css: CSS file for styling the HTML elements.

Definitions:

Definition Description
CASE_NUMBER The unique identifier for the case.
FOUND_ON The date when the compromised account was discovered.
DISCORD_ID The unique identifier associated with the user on Discord.
USERNAME The username of the compromised account.
BEHAVIOUR Description of the suspicious activities associated with the account.
ATTACK_METHOD The method used in the attack.
ATTACK_VECTOR The specific approach or technique used in the attack.
ATTACK_GOAL The objective of the attack.
ATTACK_SURFACE The platform or service targeted / used in the attack.
SUSPECTED_REGION_OF_ORIGIN The suspected geographical location from which the attack originated.
SURFACE_URL The URL associated with the initial interaction or surface level of the attack.
SURFACE_URL_DOMAIN The domain of the surface URL.
SURFACE_URL_STATUS The status of the surface URL, whether it is active or not.
FINAL_URL The URL to which the attack directs users after initial interaction.
FINAL_URL_DOMAIN The domain of the final URL.
FINAL_URL_STATUS The status of the final URL, whether it is active or not.

Contributions:

Contributions to this repository are not currently accepted. The list is based solely on my discoveries but If anyone wants to add other URLs and you have an extensive collection that you would like to add them to the repo feel free to submit a request.

Usage:

The data within this JSON file can be used to enhance threat detection and protect users from encountering malicious online content. Information provided here serves as a valuable resource for threat intelligence and cybersecurity analysis.

Disclaimer:

The information provided in this repository is for informational purposes only. While efforts are made to ensure accuracy, the repository owner cannot guarantee the completeness or currentness of the data. Users are advised to exercise caution when interacting with websites listed herein and to conduct their own investigations as necessary.

License:

This repository is provided under the MIT License. By utilizing the contents of this repository, you agree to abide by the terms of this license.

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malicious-urls-db's Issues

[feature]: Make the original dataset publicly available

Assuming you want community contributions, having the original dataset to add contributions into rather than just by submitting issues or modifying a generated file would be nice.

My personal recommendation would be to do away with exporting data into a JSON file and have the entire DB in a JSON file.

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