844 Open source projects that are alternatives of or similar to Misp Taxonomies

Clusters and elements to attach to MISP events or attributes (like threat actors)

Who and what to follow in the world of cyber security

A list of cyber-chef recipes and curated links

FCL (Fileless Command Lines) - Known command lines of fileless malicious executions

Information gathering & website reconnaissance | https://phishstats.info/

No description or website provided.

A Windows Batch script and a Unix Bash script to comprehensively collect host forensic data during incident response.

ThePhish: an automated phishing email analysis tool

IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing protocol.

FAME Automates Malware Evaluation

A lightweight convolutional neural network

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

Detect the programming language of a source code

Detect silent (unwanted) changes to files on your system

Transfer Learning for Anime Characters Recognition

Grid-GCN for Fast and Scalable Point Cloud Learning

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

Comparison tools

Pafish is a testing tool that uses different techniques to detect virtual machines and malware analysis environments in the same way that malware families do

A collection of c++ programs that demonstrate common ways to detect the presence of an attached debugger.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Free Malware Training Datasets for Machine Learning

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

Deep neural network to extract intelligent information from invoice documents.

Using pre trained word embeddings (Fasttext, Word2Vec)

Code and Resources for "Applied Machine Learning"

Intel Owl: analyze files, domains, IPs in multiple ways from a single API at scale

PatrOwl - Open Source, Free and Scalable Security Operations Orchestration Platform

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).

Python API Client for TheHive

TheHive: a Scalable, Open Source and Free Security Incident Response Platform

ipsets dynamically updated with firehol's update-ipsets.sh script

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Awesome-Text-Classification Projects,Papers,Tutorial .

IPython widgets, interactive plots, interactive machine learning

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Wolves Among the Sheep

DDoor - cross platform backdoor using dns txt records

High-quality Neural Networks for Computer Vision 😎

Oriana is a threat hunting tool that leverages a subset of Windows events to build relationships, calculate totals and run analytics. The results are presented in a Web layer to help defenders identify outliers and suspicious behavior on corporate environments.

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

Python network worm that spreads on the local network and gives the attacker control of these machines.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Test the accuracy of Endpoint Detection and Response (EDR) software with simple script which executes various ATT&CK/LOLBAS/Invoke-CradleCrafter/Invoke-DOSfuscation payloads

FLARE Obfuscated String Solver - Automatically extract obfuscated strings from malware.

Automated Use Case Testing

This repository consists of all my Machine Learning Projects.

Radar target classification, detection and recognition using deeplearning methods on MSTAR dataset

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

Automated Docker MISP container - Malware Information Sharing Platform and Threat Sharing

A C/C++ implementation of Microsoft's Antimalware Scan Interface

LUNA16-Lung-Nodule-Analysis-2016-Challenge

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

All-in-one bundle of MISP, TheHive and Cortex

Runtime memory analysis framework to identify Android malware