Api for getting bin info and getting encrypted card details for adyen.

Overview

Bin Info And Adyen Cse Enc Python

api for getting bin info and getting encrypted card details for adyen.

GitHub stars GitHub forks Maintenance Website shields.io Ask Me Anything ! License

Installation

Local Installation

git clone http://www.github.com/r0ld3x/adyen-enc-and-bin-info
cd adyen-enc-and-bin-info
pip install -r requirements.txt
uvicorn index:app

Deploy

Usage

website.com = your heroku website name

BIN INFO:-

curl -X 'GET' \
  'https://adyen-enc-and-bin-info.herokuapp.com/bin/458578' \
  -H 'accept: application/json'

Request URL: https://adyen-enc-and-bin-info.herokuapp.com/bin/458578 Return:

{
  "bin": "458578",
  "bank": "PJSC CB EUROBANK",
  "country_iso": "UA",
  "country": "UA",
  "flag": "🇺🇦",
  "vendor": "VISA",
  "type": "DEBIT",
  "level": "CLASSIC",
  "prepaid": false
}

Return status code 200 if success else return 404 if bin not found

ADYEN ENC:-

curl -X 'POST' \
  'https://adyen-enc-and-bin-info.herokuapp.com/adyen/' \
  -H 'accept: application/json' \
  -H 'Content-Type: application/json' \
  -d '{
  "card": 5415900002240330,
  "month":7,
  "year": 2024,
  "cvv": 544,
  "adyen_key": "10001|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
  "adyen_version": "_0_1_25"
}'

Request URL: https://adyen-enc-and-bin-info.herokuapp.com/bin/458578 Return:

{
  "card": "adyenjs_0_1_25%24pd91Sl9SF1eTx%2BZrn3b9uL8dh%2BmO6HJrNQsf%2BmQ%2F2185qXMACyys4OCwKEpeBuT9j4%2FdLCfqeVGS0gdRIZRKDLvO689pTqvFnJ1tTiXwEEYkvCJ73bSGjPzPNexi%2FWo3KmoiAPWLwHWf514AKSCb1luoztp%2BZKxpg6IuqwQR%2FtsFBkrq761AQw6TwMtMxSr%2Fzs%2Fl6WjkTOBv5GviiKKHjOCpr1Y5eMv6t%2F9cjuDIYF9AWNx4F9o4qraNeAKl%2BVjs%2Fpm9aFV16QeYWpvjO24Rpb865V6%2BgQJW%2F8I8jRbpy6wlS3Mo%2FOSUBrOZqcrw8GBn8Qtf8q74kUXRdhtywGQ%2Bgg%3D%3D%2465MDJ9nl42hYDvxIYIow9ydXvjc3HPHXZFziT8yCuulYjzpQU7QXPJcev0eP35n5k5KIRbep5zxVX6ZX3n8saXsWwwKiZhonmtPbzSmc6T262Zc%2FJmW8K6mofH7qyteM",
  "month": "adyenjs_0_1_25%24lpdea4MvYqJm4YRdufTpwKGiem3UqLHia4kJ0Q5rb6uvNyKlL9J18M9HPYH%2F3Y37lbmPIgMmGNCYoK5%2BaTj5uquRtQ1njRP55T%2F6EudhpIQMKYaw4M6gQjdIrqosVplnps%2FD%2BnmuwHJM0DWIzZC8z30ZCz4Sl6RFBL3DPj0OhvjR9MvoAUwOHqJYc%2FF9zmtTq8vA5XCYAhVisBiqX7fj547almWBEcthyYw6LEg3BYMcs4MdJahEwUa17zDDKwLlLhvkI3m0qsDc8cTFjmYtnTsxVVSEttbUe0ljQJfVrRRPtcMGHNSA5JzWGf5mMfevjciQeAXRVFolIG6283qUnw%3D%3D%24%2FjDUAJFl4B1563Tw2p76GjeHnz03b0jhFrINlCYln1v81Omn4BbnEGnp7dzD3dpx6krXpg0P%2FCq1i1lEnG4B1v1texUPMUZ9%2Bm6AT0QUI3u%2BeuJ%2BxDs%3D",
  "year": "adyenjs_0_1_25%24btmuqQyBocIYHkfdrzowdn5EeJMsrmMcbSUX6DtlOA4Gu%2BlrNunyCwsovndkApfE6A9PYTCrsqUkJ%2F4iDizHkX4Ri%2FY24UfGjUzDbUjyHzhlM3f3ktgU4afyPT3Nb%2FoMf7gbreBJApdbxxh4Zz5jh%2BOb2znoEMM0MgoQ0HTVDy7CkNEKtbYxA72g1rz32lVJHlnTE7Urd2NkQVR5j6Js9PVkNfwRLiUUnZJN6p68WcShP0nUiptciJnMiP%2F3W6LgsQ9rS9PKCxcySSqXaW2ncgXX2pRgmCLjzR6yHKClzrcc%2BUqQ6D6br7vbACXv8OO877JGZVJp9lEqJ1tyQAZBnA%3D%3D%24s%2BlEPjpYoMMZIH8%2B75KqLOkCnKvajNHrNuEq8YmvCT3nw42cRQOASN5Xd34hWbdStKXQNfOVfD0RT64ebbXLJoHSvgB5nnwwB4Ps4n2aPWXbbK8789fY8w%3D%3D",
  "cvv": "adyenjs_0_1_25%24pwHRvu2ys6zXTUaabbjtXW6kZGZhojK1WoxqSFxkO44vvRZUzaIzWwost4mRvyaTE%2F%2FXv%2FSanWXPW4vCPJzqred%2F2atsz%2FzYuNBbUT9C1%2Bga9rgX7gXKRujS5lZFf18QXlG%2BBDERhtav1CuxbsMTmyaa4QLJ9BwohZgDHvEZW%2BOThw2yQTi5GlgwauTJbiw%2BCYgzKEqk24yeUSLQGKz4yD0R2wvILFJaWzV%2B0NBnMQ8ZWEdtTRL2PY%2BHHb9uwTMBJKcdZn7qDWGT6Acxjh4HMLaI5%2FkgCch6JRsUEq63L6ulqcw6kDYGCaCZ%2BFvPmPssNFzJK6IpX%2F%2BKESxfGPBIRQ%3D%3D%246WruUcmWAV4a2Ve3SKzjTx1usXSSIf3RiZxZkdMly%2Fc97CWO5pRsMiXGUlZyB8KKctoM0iiMacnPcPN%2F%2B1Iamw8z1xriaPCdeCuGCqwGx1o%3D"
}

Return enc_card,enc_month,enc_year,enc_cvv

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.

• MADE BY > Roldex

License

MIT

Owner
Roldex Stark
BEYOND YOUR LIMITS
Roldex Stark
A font family with a great monospaced variant for programmers.

Fantasque Sans Mono A programming font, designed with functionality in mind, and with some wibbly-wobbly handwriting-like fuzziness that makes it unas

Jany Belluz 6.3k Jan 08, 2023
PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes", CVPR 2021

Neural Scene Flow Fields PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes", CVPR 20

Zhengqi Li 585 Jan 04, 2023
Yet another video caption

Yet another video caption

Fan Zhimin 5 May 26, 2022
RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

RM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.

184 Jan 04, 2023
A PyTorch-centric hybrid classical-quantum machine learning framework

torchquantum A PyTorch-centric hybrid classical-quantum dynamic neural networks framework. News Add a simple example script using quantum gates to do

MIT HAN Lab 400 Jan 02, 2023
This repository contains code and data for "On the Multimodal Person Verification Using Audio-Visual-Thermal Data"

trimodal_person_verification This repository contains the code, and preprocessed dataset featured in "A Study of Multimodal Person Verification Using

ISSAI 7 Aug 31, 2022
EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering

MADE (Multi-Adapter Dataset Experts) This repository contains the implementation of MADE (Multi-adapter dataset experts), which is described in the pa

Princeton Natural Language Processing 68 Jul 18, 2022
Prometheus Exporter for data scraped from datenplattform.darmstadt.de

darmstadt-opendata-exporter Scrapes data from https://datenplattform.darmstadt.de and presents it in the Prometheus Exposition format. Pull requests w

Martin Weinelt 2 Apr 12, 2022
Dynamic hair modeling from monocular videos using deep neural networks

Dynamic Hair Modeling The source code of the networks for our paper "Dynamic hair modeling from monocular videos using deep neural networks" (SIGGRAPH

53 Oct 18, 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
BT-Unet: A-Self-supervised-learning-framework-for-biomedical-image-segmentation-using-Barlow-Twins

BT-Unet: A-Self-supervised-learning-framework-for-biomedical-image-segmentation-using-Barlow-Twins Deep learning has brought most profound contributio

Narinder Singh Punn 12 Dec 04, 2022
Pytorch Implementation of rpautrat/SuperPoint

SuperPoint-Pytorch (A Pure Pytorch Implementation) SuperPoint: Self-Supervised Interest Point Detection and Description Thanks This work is based on:

76 Dec 27, 2022
[CVPR'21] DeepSurfels: Learning Online Appearance Fusion

DeepSurfels: Learning Online Appearance Fusion Paper | Video | Project Page This is the official implementation of the CVPR 2021 submission DeepSurfel

Online Reconstruction 52 Nov 14, 2022
PyTorch implementation of Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network

hierarchical-multi-label-text-classification-pytorch Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach This

Mingu Kang 17 Dec 13, 2022
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision

A Light in the Dark: Deep Learning Practices for Industrial Computer Vision This is the repository for our Paper/Contribution to the WI2022 in Nürnber

Maximilian Harl 6 Jan 17, 2022
CNNs for Sentence Classification in PyTorch

Introduction This is the implementation of Kim's Convolutional Neural Networks for Sentence Classification paper in PyTorch. Kim's implementation of t

Shawn Ng 956 Dec 19, 2022
python debugger and anti-vm that checks if you're in a virtual machine or if someones trying to debug your file

Anti-Debug was made by Love ❌ code ✅ 🎉 ・What it checks for ・ Kills tools that can be used to debug your file ・ Exits if ran in vm (supports different

Rdimo 31 Aug 09, 2022
tsflex - feature-extraction benchmarking

tsflex - feature-extraction benchmarking This repository withholds the benchmark results and visualization code of the tsflex paper and toolkit. Flow

PreDiCT.IDLab 5 Mar 25, 2022
Gas detection for Raspberry Pi using ADS1x15 and MQ-2 sensors

Gas detection Gas detection for Raspberry Pi using ADS1x15 and MQ-2 sensors. Description The MQ-2 sensor can detect multiple gases (CO, H2, CH4, LPG,

Filip Š 15 Sep 30, 2022