Creating a Feed of MISP Events from ThreatFox (by abuse.ch)

Overview

ThreatFox2Misp

Creating a Feed of MISP Events from ThreatFox (by abuse.ch)

What will it do?

This will fetch IOCs from ThreatFox by Abuse.ch, convert them to feature-rich MISP-Attributes and sumbit them into a Feed of Events on a MISP instance. It can be scheduled and will always keep updating the Event with new IOCs, or create a new one if there is none for this day yet. The generated Events include:

  • Malpedia-Galaxy Clusters
  • MISP-Taxonomy tags for Confidence-Level
  • Tags as submitted on ThreatFox
  • threat_type and reference-link as Comment

image

Deployment

To get this running there's just a few simple things to do.

  • First make sure to setup a venv, then:
venv/bin/pip3 install pymisp
git clone https://github.com/marjatech/threatfox2misp
cd threatfox2misp
cp config.example.py config.py
  • Check your Configuration

  • You can run it manually or schedule it in your preferred way now:

venv/bin/python3 threatfox2misp.py

Configuration

Configuration is done inside config.py.

Defaults are fine first, only misp_url and misp_key have to be set.

Built With

  • PyMISP - Python Framework for MISP
  • ThreatFox - ThreatFox Project by Abuse.ch

License

This project is licensed under GPLv3 - see the LICENSE file for details

Code for producing Japanese GPT-2 provided by rinna Co., Ltd.

japanese-gpt2 This repository provides the code for training Japanese GPT-2 models. This code has been used for producing japanese-gpt2-medium release

rinna Co.,Ltd. 491 Jan 07, 2023
NLP codes implemented with Pytorch (w/o library such as huggingface)

NLP_scratch NLP codes implemented with Pytorch (w/o library such as huggingface) scripts ├── models: Neural Network models ├── data: codes for dataloa

3 Dec 28, 2021
DAGAN - Dual Attention GANs for Semantic Image Synthesis

Contents Semantic Image Synthesis with DAGAN Installation Dataset Preparation Generating Images Using Pretrained Model Train and Test New Models Evalu

Hao Tang 104 Oct 08, 2022
aMLP Transformer Model for Japanese

aMLP-japanese Japanese aMLP Pretrained Model aMLPとは、Liu, Daiらが提案する、Transformerモデルです。 ざっくりというと、BERTの代わりに使えて、より性能の良いモデルです。 詳しい解説は、こちらの記事などを参考にしてください。 この

tanreinama 13 Aug 11, 2022
Graph Coloring - Weighted Vertex Coloring Problem

Graph Coloring - Weighted Vertex Coloring Problem This project proposes several local searches and an MCTS algorithm for the weighted vertex coloring

Cyril 1 Jul 08, 2022
Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models

Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models

Zhenhailong Wang 2 Jul 15, 2022
Code associated with the Don't Stop Pretraining ACL 2020 paper

dont-stop-pretraining Code associated with the Don't Stop Pretraining ACL 2020 paper Citation @inproceedings{dontstoppretraining2020, author = {Suchi

AI2 449 Jan 04, 2023
HAIS_2GNN: 3D Visual Grounding with Graph and Attention

HAIS_2GNN: 3D Visual Grounding with Graph and Attention This repository is for the HAIS_2GNN research project. Tao Gu, Yue Chen Introduction The motiv

Yue Chen 1 Nov 26, 2022
2021语言与智能技术竞赛:机器阅读理解任务

LICS2021 MRC 1. 项目&任务介绍 本项目基于官方给定的baseline(DuReader-Checklist-BASELINE)进行二次改造,对整个代码框架做了简单的重构,对核心网络结构添加了注释,解耦了数据读取的模块,并添加了阈值确认的功能,一些小的细节也做了改进。 本次任务为202

roar 29 Dec 05, 2022
Code for Emergent Translation in Multi-Agent Communication

Emergent Translation in Multi-Agent Communication PyTorch implementation of the models described in the paper Emergent Translation in Multi-Agent Comm

Facebook Research 75 Jul 15, 2022
Sentello is python script that simulates the anti-evasion and anti-analysis techniques used by malware.

sentello Sentello is a python script that simulates the anti-evasion and anti-analysis techniques used by malware. For techniques that are difficult t

Malwation 62 Oct 02, 2022
Transformers and related deep network architectures are summarized and implemented here.

Transformers: from NLP to CV This is a practical introduction to Transformers from Natural Language Processing (NLP) to Computer Vision (CV) Introduct

Ibrahim Sobh 138 Dec 27, 2022
CCF BDCI 2020 房产行业聊天问答匹配赛道 A榜47/2985

CCF BDCI 2020 房产行业聊天问答匹配 A榜47/2985 赛题描述详见:https://www.datafountain.cn/competitions/474 文件说明 data: 存放训练数据和测试数据以及预处理代码 model_bert.py: 网络模型结构定义 adv_train

shuo 40 Sep 28, 2022
Awesome-NLP-Research (ANLP)

Awesome-NLP-Research (ANLP)

Language, Information, and Learning at Yale 72 Dec 19, 2022
A PyTorch Implementation of End-to-End Models for Speech-to-Text

speech Speech is an open-source package to build end-to-end models for automatic speech recognition. Sequence-to-sequence models with attention, Conne

Awni Hannun 647 Dec 25, 2022
Resources for "Natural Language Processing" Coursera course.

Natural Language Processing course resources This github contains practical assignments for Natural Language Processing course by Higher School of Eco

Advanced Machine Learning specialisation by HSE 1.1k Jan 01, 2023
One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning.

One Stop Anomaly Shop (OSAS) Quick start guide Step 1: Get/build the docker image Option 1: Use precompiled image (might not reflect latest changes):

Adobe, Inc. 148 Dec 26, 2022
Paddle2.x version AI-Writer

Paddle2.x 版本AI-Writer 用魔改 GPT 生成网文。Tuned GPT for novel generation.

yujun 74 Jan 04, 2023
Words-per-minute - A terminal app written in python utilizing the curses module that tests the user's ability to type

words-per-minute A terminal app written in python utilizing the curses module th

Tanim Islam 1 Jan 14, 2022
This is a Prototype of an Ai ChatBot "Tea and Coffee Supplier" using python.

Ai-ChatBot-Python A chatbot is an intelligent system which can hold a conversation with a human using natural language in real time. Due to the rise o

1 Oct 30, 2021