TakeInfoatNistforICS - Take Information in NIST NVD for ICS

Overview

Take Information in NIST NVD for ICS

This project developed with Python.

When you search in the NIST NVD data, you write a keyword which is explain your research.(https://nvd.nist.gov/vuln/search) After that, you see the vuln ID, description, Published time ,and CVSS severity (Version 2 and Version3) fields.

I use the BeautifulSoup library for taking this fileds. The library parse the htlm codes in web sites for what do you want to take. I write the results Sqlite database and json format.

I run the project with -w parameter. This parameter is that what dou you want the search in NIST NVD databse.

Screen Shot 2022-01-03 at 15 13 21

You can see the research results in the json and database files.

Screen Shot 2022-01-03 at 15 13 41

Screen Shot 2022-01-03 at 15 14 41

You can see the NVD result numbers are same with my results.

Screen Shot 2022-01-03 at 15 16 17

You can use this project in blue team opportunities. For example, you want to monitor which products have vulnerabilities. When the product has a new vulnerability, you will see this problem and take a solution.

I used this results for ICS Security. I developed this project at the National Testbed Center for Critical Infrastructures - CENTER SAU (https://center.sakarya.edu.tr). I developed another project called Asset Management in ICS Systems in there. I got ip addresses, mac addresses, vendor names, protocols, version numbers to identify ICS products. I used the vendor name keywords to submit to NVD databases. You can see "Siemens S7-1200" keyword results for monitoring in ELK Stack. If the product has a new CVE or vulnerability, I can monitor in the ELK Stack.

image

Distributing reference energies for SMIRNOFF implementations

Warning: This code is currently experimental and under active development. Is it not yet suitable for distribution or use as reference implementation.

Open Force Field Initiative 1 Dec 07, 2021
Consecutive-Subsequence - Simple software to calculate susequence with highest sum

Simple software to calculate susequence with highest sum This repository contain

Gbadamosi Farouk 1 Jan 31, 2022
Easy-to-use library to boost AI inference leveraging state-of-the-art optimization techniques.

NEW RELEASE How Nebullvm Works • Tutorials • Benchmarks • Installation • Get Started • Optimization Examples Discord | Website | LinkedIn | Twitter Ne

Nebuly 1.7k Dec 31, 2022
Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation in TensorFlow 2

Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation in TensorFlow 2 Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexan

Phan Nguyen 1 Dec 16, 2021
Deep Learning Specialization by Andrew Ng, deeplearning.ai.

Deep Learning Specialization on Coursera Master Deep Learning, and Break into AI This is my personal projects for the course. The course covers deep l

Engen 1.5k Jan 07, 2023
A simple and useful implementation of LPIPS.

lpips-pytorch Description Developing perceptual distance metrics is a major topic in recent image processing problems. LPIPS[1] is a state-of-the-art

So Uchida 121 Dec 24, 2022
A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) based on Deep Filtering.

DeepFilterNet A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) based on Deep Filtering. libDF contains Rust code used for dat

Hendrik Schröter 292 Dec 25, 2022
RCT-ART is an NLP pipeline built with spaCy for converting clinical trial result sentences into tables through jointly extracting intervention, outcome and outcome measure entities and their relations.

Randomised controlled trial abstract result tabulator RCT-ART is an NLP pipeline built with spaCy for converting clinical trial result sentences into

2 Sep 16, 2022
Official code for Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset

Official code for our Interspeech 2021 - Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset [1]*. Visually-grounded spoken language datasets c

Ian Palmer 3 Jan 26, 2022
This is the official implementation of our proposed SwinMR

SwinMR This is the official implementation of our proposed SwinMR: Swin Transformer for Fast MRI Please cite: @article{huang2022swin, title={Swi

A Yang Lab (led by Dr Guang Yang) 27 Nov 17, 2022
GuideDog is an AI/ML-based mobile app designed to assist the lives of the visually impaired, 100% voice-controlled

Guidedog Authors: Kyuhee Jo, Steven Gunarso, Jacky Wang, Raghav Sharma GuideDog is an AI/ML-based mobile app designed to assist the lives of the visua

Kyuhee Jo 5 Nov 24, 2021
Rainbow: Combining Improvements in Deep Reinforcement Learning

Rainbow Rainbow: Combining Improvements in Deep Reinforcement Learning [1]. Results and pretrained models can be found in the releases. DQN [2] Double

Kai Arulkumaran 1.4k Dec 29, 2022
A stable algorithm for GAN training

DRAGAN (Deep Regret Analytic Generative Adversarial Networks) Link to our paper - https://arxiv.org/abs/1705.07215 Pytorch implementation (thanks!) -

195 Oct 10, 2022
Boosted neural network for tabular data

XBNet - Xtremely Boosted Network Boosted neural network for tabular data XBNet is an open source project which is built with PyTorch which tries to co

Tushar Sarkar 175 Jan 04, 2023
AOT-GAN for High-Resolution Image Inpainting (codebase for image inpainting)

AOT-GAN for High-Resolution Image Inpainting Arxiv Paper | AOT-GAN: Aggregated Contextual Transformations for High-Resolution Image Inpainting Yanhong

Multimedia Research 214 Jan 03, 2023
Siamese TabNet

Raifhack-DS-2021 https://raifhack.ru/ - Команда Звёздочка Siamese TabNet Сиамская TabNet предсказывает стоимость объекта недвижимости с price_type=1,

Daniel Gafni 15 Apr 16, 2022
PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

PointCloud Annotation Tools, support to label object bound box, ground, lane and kerb

halo 368 Dec 06, 2022
WRENCH: Weak supeRvision bENCHmark

🔧 What is it? Wrench is a benchmark platform containing diverse weak supervision tasks. It also provides a common and easy framework for development

Jieyu Zhang 176 Dec 28, 2022
Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

11 Nov 23, 2022
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

NeuralPDE NeuralPDE.jl is a solver package which consists of neural network solvers for partial differential equations using scientific machine learni

SciML Open Source Scientific Machine Learning 680 Jan 02, 2023