malicious-url

Here are 26 public repositories matching this topic...

e-m3din4 / booby-trap-pdf

Embed malware, apks, executables or any other binary file into a PDF, or generate a PDF with malicious link encrusted.

social pdf engineering red malware embeddings steganography malware-samples malware-detection malicious-url rogue-files rogue-pdf rogue-apk

Updated Feb 28, 2023
Python

OsmanKandemir / associated-threat-analyzer

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Associated-Threat-Analyzer detects malicious IPv4 addresses and domain names associated with your web application using local malicious domain and IPv4 lists.

ioc cti malicious-domains cyber-security security-tools threat-intelligence hacking-tools malicious-url cyber-threat-intelligence malicious-url-detection asset-discovery ethical-hacking-tools cyber-intelligence malicious-link cyber-threat-hunting malicious-ips cyber-analyst

Updated Aug 31, 2023
Python

ranon-rat / sayBruh

Star

its a rebuild of saycheese with golang

go golang http hacking webcam-capture saycheese ngrok-server malicious-url

Updated Oct 10, 2021
Go

chen0040 / keras-malicious-url-detector

Star

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

recurrent-neural-networks lstm convolutional-neural-networks url-detector binary-classification malicious-url

Updated Feb 26, 2018
Python

cozpii / Malicious-URL-detection

Star

Detecting malicious URLs using Machine Learning

machine-learning deeplearning malicious malicious-url malicious-url-detection

Updated Oct 30, 2018
Jupyter Notebook

manic-code / Emerging-Malicious-Domain-Blocklist

Star

Malicious Domain Blocklist, suitable for use in Pi-hole or similar applications which accept domain based lists..

Updated May 12, 2023

SystemJargon / blocklists

Star

A DNS blocklist repo. Lists in various formats like AdGuard/Easylist, Pi-hole, HOSTS. Includes regex and wiki

Updated Nov 14, 2024
Text

universalbyte / superhostsfile

Star

Protect your computer / rooted-smartphone !

Updated Feb 27, 2024

NavyTitanium / EITest-tools-scripts-IOCs

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ioc iocs malicious-domains malicious-redirects malicious-url eitest-c2

Updated Apr 13, 2018
PHP

ThatSINEWAVE / Malicious-URLs-DB

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

Updated Jun 1, 2024
JavaScript

Curated block list including IPs, FQDNs, Domains, JA3, etc. Tailored for utmost precision to minimize false positives in personal or non-commercial environments. Updated regularly. For assistance or to support our initiatives, please reach out or consider participating in our sponsorship program

osint cti malicious-domains malicious threat-intelligence phishing-sites block-list malicious-url malicious-link malicious-ips

Updated Oct 30, 2023

ThatSINEWAVE / URL-Analysis-Tool

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Python-based tool for analyzing URLs and detecting potential threats using various cybersecurity services.

Updated Apr 24, 2024
Python

calinux-py / WhoDAT

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WhoDAT is an InfoSec Analyzer for Nerds using VirusTotal, Google Safe Browsing, URLScan, Hybrid-Analysis, and OpenAI.

Updated Nov 8, 2024
Python

uppusaikiran / ransom_c2c_detector

Star

Machine Learning Based Ransomware generated Command and Control Domain Detector.

url machine-learning ransomware malicious-domains url-monitor malicious c2c malicious-url malicious-url-detection

Updated Aug 28, 2018
Python

EliteWise / browsing-fortress

Star

Chrome extension for proactive detection of malicious websites

chrome-extension malicious-url malicious-url-detection

Updated Jun 23, 2024
JavaScript

uppusaikiran / Malicious-URL-Detector

Star

A Machine Learning Model to detect malicious urls which include Deep File Analysis on attributes as well dropped files.

url machine-learning sklearn tldextract malicious-domains malicious-url malicious-url-detection

Updated Apr 8, 2024
Python

s-m-quadri / cyberus

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Cyberus is a tool to check the generic and sentimental legitimacy of the message, and it gives an approximate idea of the risk, based on the dataset, on which it has trained, and some machine learning models for predicting the risk quantitatively.