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#
malicious-url-detection
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98 public repositories
matching this topic...
ShotDroid is a pentesting tool for android. There are 3 tools that have their respective functions, Get files from Android directory, internal and external storage, Android Keylogger + Reverse Shell and Take a webcam shot of the face from the front camera of the phone and PC.
Automated OWASP CRS and Bad Bot Detection for Nginx, Apache, Traefik and HaProxy
Chrome extension for detecting phishing web sites
Phishers use the websites which are visually and semantically similar to those real websites. So, we develop this website to come to know user whether the URL is phishing or not before using it. URL - http://phishing-url-detector-api.herokuapp.com/
Anomaly based Malware Detection using Machine Learning (PE and URL)
👁 Osprey
Browser extension that protects you from malicious websites.
Finds related domains and IPv4 addresses to do threat intelligence after Indicator-Intelligence collects static files.
NLP model and tech for cyber security tasks
👁 phishing-detection
Malicious actors often reuse code to deploy their malware, phishing website or CNC server. As a result, similiaries can be found on URLs path by inspecting internet traffic. Moreover, deep learning models or even regular ML model do not fit for inline deployment in terms of running performance. However, regexes ( or YARA rules ) can be deployed …
detect malicious URL and Request (Bi-LSTM、Bi-LSTM + CNN、CNN + Bi-LSTM、CNN + Bi-LSTM + CNN)
Associated-Threat-Analyzer detects malicious IPv4 addresses and domain names associated with your web application using local malicious domain and IPv4 lists.
A list of malicious IP addresses associated with botnets, cyberattacks, and the generation of artificial traffic on websites. Useful for network administrators and security companies to block threats and protect against DDoS attacks.
👁 url_genie
Malicious URL Detection Model NN optimized by Genetic Algorithms 🧬
Detecting malicious URLs using Machine Learning
Phishers use the websites which are visually similar to those real websites. So, we developed this website so that user can know whether the URL is phishing or not before using it. URL -
An Open-source project for One-Stop-Shop content moderation, it is technology agnostic and provides various communication strategies out of the box!
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