jimwangzx

Bypassing-Detection-of-Phishing-Attacks-Using-GAN

Bypassing Detection of URL-based Phishing Attacks Using Generative Adversarial Deep Neural Networks

ethereum-lists

A repository for maintaining lists of things like malicious URLs, fake token addresses, and so forth. We love lists.

hosts

Blocklisten im Host-Format. Blockt Werbung, Tracking, Phishing, Malware, Scam, Coins, Fake und sonstigen "Mist" aus dem Netz. (DACH)

Phishing-Detection-on-Ethereum

As the most famous application of blockchain, cryptocurrency has suffered huge economic losses due to phishing scams. Our work shares phishing account information from Etherscan and the code for how to crawl it. In addition, the trans2vec algorithm for detection was shared. In our work, accounts and transactions in Ethereum are treated as nodes and edges, so detection of phishing accounts can be modeled as a node classification problem. This work starts from Etherscan exposed nodes reported by phishing points and randomly extracts the same number of non-phishing fraud nodes. A large Ethereum trading network was crawled from ethereum records through breadth search.

Phishing-Website-Generator----form-action

Generate a phishing website from a given URL & log submitted form data.

Phishing_Counter_Attack

Someone attempted a phishing attack. Can't have that. Recording attack documentation and poisoning the API data pool where they stored stolen user credentials.

Phishing_Detector

A simple chrome extension to detect phishing emails

reCAPTCHA-Phishing-Tool

reCAPTCHA can indeed be proxied correctly via one public phishing tool that supports base64 string transformations.

ZPHISHER-automated-phishing-tool-

Zphisher is an upgraded form of Shellphish. The main source code is from Shellphish . But I have not fully copied it . I have upgraded it & cleared the Unnecessary Files . Zphisher has 37 Phishing Page Templates ; including Facebook , Twitter & Paypal . It also has 4 Port Forwarding Tools .Find Here Template Here Available Phishing Pages 1) Facebook: Facebook Normal Login Page Fake Security Login Method (DarkSecDevelopers) Facebook Voting Poll Method (DarkSecDevelopers) Messenger Login Page (New) 2) Instagram: Normal Login Page Instagram Auto Follower Phishing Page (thelinuxchoice) Instagram Badge Verify Method (DarkSecDevelopers) 3) Google Google Old Login Page Google New Login Page Google Voting Poll Method (DarkSecDevelopers) 4) Adobe Login Page 5) Badoo Login Page 6) CryptoCoinSniper Login Page 7) Deviantart Login Page 8) Dropbox Login Page 9) Ebay Login Page 10) Github Login Page 11) Linkedin Login Page 12) Microsoft Login Page 13) Netflix Login Page 14) Origin Login Page 15) Paypal Login Page 16) Pinterest Login Page 17) Playstation Login Page 18) Protonmail Login Page 19) Reddit Login Page 20) Snapchat Login Page 21) Spotify Login Page 22) Stackoverflow Login Page 23) Steam Login Page 24) Twitch Login Page 25) Twitter Login Page 26) Vk Login Page 27) Vk Poll Method (Hiddeneye) 28) Wordpress Login Page 29) Yahoo Login Page 30) Yandex Login Page Find Here Template Here Installation : apt update apt install git php openssh curl -y git clone https://github.com/htr-tech/zphisher cd zphisher chmod +x zphisher.sh bash zphisher.sh Single Line Code : apt update && apt install git php curl openssh -y && git clone https://github.com/htr-tech/zphisher && cd zphisher && chmod +x zphisher.sh && bash zphisher.sh

jimwangzx/Aurora-AI--API-malware-

Artificial intelligence malware hunter based on thousands of malware samples

jimwangzx/BlenderGIS

Blender addons to make the bridge between Blender and geographic data

jimwangzx/Creosote-tarfile-path-traverval-

Creosote is our solution to searching for the tarfile vulnerability described by CVE-2007-4559.

jimwangzx/fame--malware-

FAME Automates Malware Evaluation

jimwangzx/fame_modules-

Community modules for FAME

jimwangzx/Fraud-Detection

We investigate four state-of-the-art ML techniques, namely, logistic regression, decision trees, random forest, and extreme gradient boost, that are suitable for handling imbalance classes to maximize precision and simultaneously reduce false positives. First, these classifiers are trained on two original benchmark unbalanced fraud detection datasets, namely, phishing website URLs and fraudulent credit card transactions. Then, three synthetically balanced datasets are produced for each original data set by implementing the sampling frameworks, namely, RandomUnderSampler, SMOTE, and SMOTEENN. The optimum hyperparameters for all the 16 experiments are revealed using the method RandomzedSearchCV. The validity of the 16 approaches in the context of fraud detection is compared using two benchmark performance metrics, namely, area under the curve of receiver operating characteristics (AUC ROC) and area under the curve of precision and recall (AUC PR). For both phishing website URLs and credit card fraud transaction datasets, the results indicate that extreme gradient boost trained on the original data shows trustworthy performance in the imbalanced dataset and manages to outperform the other three methods in terms of both AUC ROC and AUC PR.

jimwangzx/IIT-Patna---Phisher-Detection

Contains the code of baseline papers on crypto currency phisher detection done during the internship at IIT Patna

jimwangzx/Intent-classification-and-slot-filling-in-NLU

The purpose of this project is to implement a neural network model to perform intent classification and slot filling in a multitask learning setting

jimwangzx/Just-Read.-

A customizable read mode web extension.

jimwangzx/LockBit-Black-Builder

jimwangzx/LOLBINS-HUNT

This query identifies Microsoft-signed Binaries and Scripts that are not system initiated. This technique is commonly used in phishing attacks.

jimwangzx/NAFNet--deblur-denoise-

The state-of-the-art image restoration model without nonlinear activation functions.

jimwangzx/PEzor---PE-packer

Open-Source Shellcode & PE Packer

jimwangzx/phish-email-anonymizer

jimwangzx/Phishing-Detection-

Phishing Detection System using Natural Language Processing and Machine Learning

jimwangzx/phishing-links-

jimwangzx/Phishing_Site_Data_Scraper

Zombie Domain Identification Project

jimwangzx/PhishingEmailDetection-2

jimwangzx/phishmonger

Phishing Framework for Pentesters

jimwangzx/Predicting_Phishing_Webpages

This is a project that develops a binary classification model for distinguishing phishing webpages from legitimate ones

jimwangzx/pyattck

A Python package to interact with the Mitre ATT&CK Framework

jimwangzx/spiderfoot

SpiderFoot automates OSINT for threat intelligence and mapping your attack surface.

jimwangzx/squarephish--OAUth2-device-code-

jimwangzx/stringsifter

A machine learning tool that ranks strings based on their relevance for malware analysis.

jimwangzx/subparse--

Modular malware analysis artifact collection and correlation framework

jimwangzx/Summer-2022-Phish-Server

jimwangzx/Text-based-voice-phishing-detection-

[NLP] 텍스트 기반 보이스피싱 탐지 모델

jimwangzx/Webapp-Security-Project---phishing-XSS

A framework that can create phishing pages and find XSS vulnerabilities.

jimwangzx/webpage-phishing-detection----feature-

Machine Learning based phishing detection

jimwangzx/yaramod

Parsing of YARA rules into AST and building new rulesets in C++.