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
Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning"

Code used for the results in the paper "ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning" Getting started Prerequisites CUD

70 Dec 02, 2022
State of the art Semantic Sentence Embeddings

Contrastive Tension State of the art Semantic Sentence Embeddings Published Paper · Huggingface Models · Report Bug Overview This is the official code

Fredrik Carlsson 88 Dec 30, 2022
Sharing of contents on mitochondrial encounter networks

mito-network-sharing Sharing of contents on mitochondrial encounter networks Required: R with igraph, brainGraph, ggplot2, and XML libraries; igraph l

Stochastic Biology Group 0 Oct 01, 2021
Unofficial implementation of the Involution operation from CVPR 2021

involution_pytorch Unofficial PyTorch implementation of "Involution: Inverting the Inherence of Convolution for Visual Recognition" by Li et al. prese

Rishabh Anand 46 Dec 07, 2022
Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

openpifpaf Continuously tested on Linux, MacOS and Windows: New 2021 paper: OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Te

VITA lab at EPFL 50 Dec 29, 2022
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation This repo is the official implementation of "MHFormer: Multi-Hypothesis Transforme

Vegetabird 281 Jan 07, 2023
Statistical and Algorithmic Investing Strategies for Everyone

Eiten - Algorithmic Investing Strategies for Everyone Eiten is an open source toolkit by Tradytics that implements various statistical and algorithmic

Tradytics 2.5k Jan 02, 2023
Crawl & visualize ICLR papers and reviews

Crawl and Visualize ICLR 2022 OpenReview Data Descriptions This Jupyter Notebook contains the data crawled from ICLR 2022 OpenReview webpages and thei

Federico Berto 75 Dec 05, 2022
[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

SoCo [NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning By Fangyun Wei*, Yue Gao*, Zhirong Wu, Han Hu,

Yue Gao 139 Dec 14, 2022
ESGD-M - A stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch

ESGD-M - A stochastic non-convex second order optimizer, suitable for training deep learning models, for PyTorch

Katherine Crowson 53 Dec 29, 2022
DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

The Official PyTorch Implementation of DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

Shiyi Lan 3 Oct 15, 2021
PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data.

Anti-Backdoor Learning PyTorch Code for NeurIPS 2021 paper Anti-Backdoor Learning: Training Clean Models on Poisoned Data. The Anti-Backdoor Learning

Yige-Li 51 Dec 07, 2022
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training

ActNN : Activation Compressed Training This is the official project repository for ActNN: Reducing Training Memory Footprint via 2-Bit Activation Comp

UC Berkeley RISE 178 Jan 05, 2023
Breast Cancer Detection 🔬 ITI "AI_Pro" Graduation Project

BreastCancerDetection - This program is designed to predict two severity of abnormalities associated with breast cancer cells: benign and malignant. Mammograms from MIAS is preprocessed and features

6 Nov 29, 2022
Implementation of the "Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos" paper.

Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos Introduction Point cloud videos exhibit irregularities and lack of or

Hehe Fan 101 Dec 29, 2022
CVPR2021 Content-Aware GAN Compression

Content-Aware GAN Compression [ArXiv] Paper accepted to CVPR2021. @inproceedings{liu2021content, title = {Content-Aware GAN Compression}, auth

52 Nov 06, 2022
Deep Learning GPU Training System

DIGITS DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models. The currently supported frameworks are: Caffe, To

NVIDIA Corporation 4.1k Jan 03, 2023
Experiments for Operating Systems Lab (ETCS-352)

Operating Systems Lab (ETCS-352) Experiments for Operating Systems Lab (ETCS-352) performed by me in 2021 at uni. All codes are written by me except t

Deekshant Wadhwa 0 Sep 06, 2022
The audio-video synchronization of MKV Container Format is exploited to achieve data hiding

The audio-video synchronization of MKV Container Format is exploited to achieve data hiding, where the hidden data can be utilized for various management purposes, including hyper-linking, annotation

Maxim Zaika 1 Nov 17, 2021
Pacman-AI - AI project designed by UC Berkeley. Designed reflex and minimax agents for the game Pacman.

Pacman AI Jussi Doherty CAP 4601 - Introduction to Artificial Intelligence - Fall 2020 Python version 3.0+ Source of this project This repo contains a

Jussi Doherty 1 Jan 03, 2022