A ssl analyzer which could analyzer target domain's certificate.

Overview

ssl_analyzer

A ssl analyzer which could analyzer target domain's certificate.

Analyze the domain name ssl certificate information according to the input csv file (the csv file path can be entered in the configuration section), and write the detailed information into the mysql database. After the container starts, users can connect to mysql through the mysql client to view the analysis results (The startup demo video is shown below).

Get start

  1. git clone https://github.com/vincentbin/ssl_analyzer.git
  2. cd ssl_analyzer
  3. docker-compose up --build

Configurations (optional)

  • analyzer.conf
[script]
# Use multi-thread or not
multi_thread=True
# The number of threads used by the task
thread_num=20
# The location of hosts csv file
hosts_csv_filename=./data/top-1m.csv
# The amount of hosts user want to analyze (Set to 0 to analyze all csv content)
analyze_num=120000

Database connection info

  • username: root
  • password: 123456

Running process is shown in the video below.

running_process1.5x.mp4

Code structure

.
├── analysis
│   ├── analysis_data.sql       // SQL statement for data analysis
│   ├── analysis_data_v2.ipynb  // Statistical analysis of the result data collected by the system
├── data
│   ├── cacert.pem              // Root certificate information
│   ├── certificate_table.csv   // Database storage results csv export file
│   ├── top-1m.csv              // Input domain name file (this file can be customized to specify the domain names you want to analyze)
├── db
│   ├── certificateTable.sql    // MySQL table design SQL for storing certificate details
│   ├── creatDB.sql             // Mysql build database SQL for container init
│   ├── init.sql                // Mysql container initialization SQL
│   ├── utf8mb4.cnf             // Mysql configuration settings
│   ├── Dockerfile              // Mysql Dockerfile
├── conf_reader.py              // Get analyzer.conf file's configuration information
├── crl_checker.py              // CRL check related code
├── db.py                       // Database related operation code
├── ssl_analyzer.py             // Code related to requesting domain name acquisition and parsing certificate information
├── requirements.txt            // Project dependencies
├── Dockerfile                  // Python script container
├── docker-compose.yml          // Configuration file for starting db & script containers
├── Dockerfile                  // Python script container
├── LICENSE                     // LICENSE
├── README                      // README

Our Analysis

Use 20 threads to execute and analyze 120,000 domain name information in the top-1m file concurrently.

Result

http://nbviewer.org/github/vincentbin/ssl_analyzer/blob/main/analysis/analysis_data_v2.ipynb

Owner
vincent
Back-end developer & Coding lover
vincent
The world's largest toxicity dataset.

The Toxicity Dataset by Surge AI Saving the internet is fun. Combing through thousands of online comments to build a toxicity dataset isn't. That's wh

Surge AI 134 Dec 19, 2022
OpenDILab RL Kubernetes Custom Resource and Operator Lib

DI Orchestrator DI Orchestrator is designed to manage DI (Decision Intelligence) jobs using Kubernetes Custom Resource and Operator. Prerequisites A w

OpenDILab 205 Dec 29, 2022
Adaout is a practical and flexible regularization method with high generalization and interpretability

Adaout Adaout is a practical and flexible regularization method with high generalization and interpretability. Requirements python 3.6 (Anaconda versi

lambett 1 Feb 09, 2022
Point-NeRF: Point-based Neural Radiance Fields

Point-NeRF: Point-based Neural Radiance Fields Project Sites | Paper | Primary c

Qiangeng Xu 662 Jan 01, 2023
Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation

OoD_Gen-Chest_Xray Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation Requirements (Installations) Install the following libra

Enoch Tetteh 2 Oct 01, 2022
Official Python implementation of the 'Sparse deconvolution'-v0.3.0

Sparse deconvolution Python v0.3.0 Official Python implementation of the 'Sparse deconvolution', and the CPU (NumPy) and GPU (CuPy) calculation backen

Weisong Zhao 23 Dec 28, 2022
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis documents. Bibliography, experiments and reports.

Erick Cobos 73 Dec 04, 2022
How to Predict Stock Prices Easily Demo

How-to-Predict-Stock-Prices-Easily-Demo How to Predict Stock Prices Easily - Intro to Deep Learning #7 by Siraj Raval on Youtube ##Overview This is th

Siraj Raval 752 Nov 16, 2022
Code for the paper Learning the Predictability of the Future

Learning the Predictability of the Future Code from the paper Learning the Predictability of the Future. Website of the project in hyperfuture.cs.colu

Computer Vision Lab at Columbia University 139 Nov 18, 2022
【Arxiv】Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution

SANet Exploring Separable Attention for Multi-Contrast MR Image Super-Resolution Dependencies numpy==1.18.5 scikit_image==0.16.2 torchvision==0.8.1 to

36 Jan 05, 2023
Implementation of "Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency"

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency (ICCV2021) Paper Link: https://arxiv.org/abs/2107.11355 This implementation bui

32 Nov 17, 2022
DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold

DeepDiffusion Introduction This repository provides the code of the DeepDiffusion algorithm for unsupervised learning of retrieval-adapted representat

4 Nov 15, 2022
Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

Google Cloud Vertex AI Samples Welcome to the Google Cloud Vertex AI sample repository. Overview The repository contains notebooks and community conte

Google Cloud Platform 560 Dec 31, 2022
Deep Learning to Create StepMania SM FIles

StepCOVNet Running Audio to SM File Generator Currently only produces .txt files. Use SMDataTools to convert .txt to .sm python stepmania_note_generat

Chimezie Iwuanyanwu 8 Jan 08, 2023
imbalanced-DL: Deep Imbalanced Learning in Python

imbalanced-DL: Deep Imbalanced Learning in Python Overview imbalanced-DL (imported as imbalanceddl) is a Python package designed to make deep imbalanc

NTUCSIE CLLab 19 Dec 28, 2022
Codes for paper "KNAS: Green Neural Architecture Search"

KNAS Codes for paper "KNAS: Green Neural Architecture Search" KNAS is a green (energy-efficient) Neural Architecture Search (NAS) approach. It contain

90 Dec 22, 2022
[CVPR 2022] Official Pytorch code for OW-DETR: Open-world Detection Transformer

OW-DETR: Open-world Detection Transformer (CVPR 2022) [Paper] Akshita Gupta*, Sanath Narayan*, K J Joseph, Salman Khan, Fahad Shahbaz Khan, Mubarak Sh

Akshita Gupta 127 Dec 27, 2022
Minimal But Practical Image Classifier Pipline Using Pytorch, Finetune on ResNet18, Got 99% Accuracy on Own Small Datasets.

PyTorch Image Classifier Updates As for many users request, I released a new version of standared pytorch immage classification example at here: http:

JinTian 106 Nov 06, 2022
gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions

gtfs2vec This is a companion repository for a gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions publication. Vis

Politechnika Wrocławska - repozytorium dla informatyków 5 Oct 10, 2022
This is a vision-based 3d model manipulation and control UI

Manipulation of 3D Models Using Hand Gesture This program allows user to manipulation 3D models (.obj format) with their hands. The project support bo

Cortic Technology Corp. 43 Oct 23, 2022