Topic: phishing-detection Goto Github
Some thing interesting about phishing-detection
Some thing interesting about phishing-detection
phishing-detection,HookPhish is a Python script designed to aid in the detection of phishing websites
User: 0liverflow
phishing-detection,Exposing phishing kits seen from phishunt.io
User: 0xdaniellopez
Home Page: https://phishunt.io/
phishing-detection,TweetFeed collects Indicators of Compromise (IOCs) shared by the infosec community at Twitter. Here you will find malicious URLs, domains, IPs, and SHA256/MD5 hashes.
User: 0xdaniellopez
Home Page: https://tweetfeed.live/
phishing-detection,A multi-layered and multi-tiered Machine Learning security solution, it supports always on detection system, Django REST framework used, equipped with a web-browser extension that uses a REST API call.
User: abhisheksaxena1998
Home Page: https://malicious-url-detectorv5.herokuapp.com/
phishing-detection,A phishing domain detection tool that also allows you to safely view the website without actually visiting it.
User: abhizaik
Home Page: https://safesurf.vercel.app
phishing-detection,The openSquat is an open-source tool for detecting domain look-alikes by searching for newly registered domains that might be impersonating legit domains.
User: atenreiro
Home Page: https://opensquat.com
phishing-detection,A SOC Analyst's tool to automate the investigation & validation of possible Indicators of Compromise (IOCs) and perform various tasks including Phishing Email Analysis & Brand Monitoring to fasten the incident response.
User: azharanwar9
phishing-detection,AutoSpamEmailScan.ps1 is used to monitor a specific mailbox that enterprise users can forward suspicious spam emails to a specific mailbox.
User: banhao
phishing-detection,Facebook phishing website developed by npx create-next-app
User: btc415
phishing-detection,Chista | Open Threat Intelligence Framework
Organization: chistadev
phishing-detection,Identifying Malicious Phishing URLs through Machine Learning
User: deepeshdm
Home Page: https://phishr.vercel.app/
phishing-detection,An offline Phishing Email Analyzer. Enabling non-techies to analyze phishing emails automatically!
User: defr0ggy
phishing-detection,Collection of phishing and malicious links that focuses on Steam and Discord scams.
User: devspen
phishing-detection,A database of over 24000 scam links used for Discord, Steam and more.
Organization: discord-antiscam
phishing-detection,Simple Discord bot which blocks all phishing links. If channel is specified it will also send information about advertiser.
User: duckysolucky
phishing-detection,List of discord phishing links
User: duckysolucky
phishing-detection,ThePhish: an automated phishing email analysis tool
User: emalderson
phishing-detection,Machine Learning for Phishing Website Detection
User: faizann24
Home Page: https://faizanahmad.tech/blog/2020/02/phishytics-machine-learning-for-phishing-websites-detection/
phishing-detection,BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection (WWW23)
Organization: git-disl
phishing-detection,Türkiye'ye Yönelik Zararlı Bağlantı Erişim Engelleme Listesi
Organization: horusteknoloji
phishing-detection,A suite for hunting suspicious targets, expose domains and phishing discovery
Organization: huntdownproject
Home Page: https://huntdownproject.github.io/
phishing-detection,Detect email phishing with Watson Natural Language Classifier
Organization: ibm
Home Page: https://developer.ibm.com/patterns/predict-phishing-attempts-in-email-with-nlc/
phishing-detection,NLP model and tech for cyber security tasks
User: jackaduma
phishing-detection,Automated phishing catcher
User: joelgun-xyz
phishing-detection,URL phishing detection using Generative Adversarial Network (GAN)
User: khuzd
phishing-detection,Useful resources about phishing email analysis
Organization: letsdefend
phishing-detection,PhishIntention: Phishing detection through webpage intention
User: lindsey98
phishing-detection,Official Implementation of "Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages" USENIX'21
User: lindsey98
phishing-detection,🎣 Using deep learning (word level and character level embeddings combined with GRU layers) to detect Phishing using the URL
User: mjafarmashhadi
phishing-detection,Aim of the project is to reduce phishing victims. 😇 My first-ever full-stack project marked the start of my journey as an aspiring student developer. Driven by a strong desire to make a positive impact on my community, I embarked on a mission to create a project that could genuinely as
User: nayanmapara
Home Page: https://phishbuster-web.herokuapp.com/
phishing-detection,Remote Template Injection Toolkit
User: nickvourd
phishing-detection,An actively maintained JSON & txt List containing 22'000+ malicious Domains which are used for phishing on Discord.
User: nikolaischunk
phishing-detection,Newly registered Domain Monitoring to detect phishing and brand impersonation with subdomain enumeration and source code scraping
User: past2212
phishing-detection,Chrome extension for detecting phishing web sites
User: philomathic-guy
Home Page: https://philomathic-guy.github.io/Malicious-Web-Content-Detection-Using-Machine-Learning/
phishing-detection,IOK (Indicator Of Kit) is an open source language and ruleset for detecting phishing threat actor tools and tactics
Organization: phish-report
Home Page: https://iok.dev
phishing-detection,A lite chrome extension for detecting phishing sites using random forest classifier
Organization: picopalette
phishing-detection,Distributed phishing framework designed to streamline offensive security phishing
Organization: redlure
phishing-detection,Phishing detection regex for Blueteams
User: sevenofnull
phishing-detection,Phishing Detection System using Natural Language Processing and Machine Learning
User: shaeferd
phishing-detection,In this project, we have detected the malicious URLs using lexical features and boosted machine learning algorithms
User: sid321axn
phishing-detection,A detailed comparison of performance scores achieved by Machine Learning and Deep Learning algorithms on 3 different Phishing datasets. 3 different feature selection and 2 different dimensionality reduction techniques are used for comparison.
User: sohailahmedkhan
phishing-detection,A basic phishing kit scanner for dedicated and semi-dedicated hosting
User: steved3
Home Page: https://steved3.io/khdocs/
phishing-detection,emailrep.io Public API
Organization: sublime-security
Home Page: https://emailrep.io
phishing-detection,A free and open platform for detecting and preventing email attacks like BEC, malware, and credential phishing. Gain visibility and control, hunt for advanced threats, collaborate with the community, and write detections-as-code.
Organization: sublime-security
Home Page: https://sublime.security
phishing-detection,Repository of Yara rules dedicated to Phishing Kits Zip files
User: t4d
phishing-detection,Yara scan Phishing Kit's Zip archive(s)
User: t4d
phishing-detection,StalkPhish-OSS - The Phishing kits stalker, harvesting phishing kits for investigations.
User: t4d
Home Page: https://www.stalkphish.com
phishing-detection,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/
User: vaibhavbichave
phishing-detection,This little tool is to calculate a MurmurHash value of a favicon to hunt phishing websites on the Shodan platform.
User: viralmaniar
phishing-detection,The Anti-Phishing Discord Bot
User: xenorio
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