Marisol  Kuhic

Marisol Kuhic

1626339600

What is Directory Listing Vulnerability and How Do I Fix It?

In this video, we will discuss What is Directory Listing Vulnerability and How to Fix Directory Listing Vulnerability.

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#Vulnerability #Website #Hosting


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I am a Digital Marketer by passion and a Developer by profession. With experience and expertise spanning around 10 years, in the Digital space. 

Good amount of experience in development of web applications using PHP, .Net, JavaScript Library’s, Frameworks, CMS, API’s, Reporting tools and Payment Gateways. Skilled in digital viral marketing, technology innovation's, brand building and all phases of the Web development lifecycle with an expert in translating business requirements into technical solutions and fanatical about quality, usability, security, and scalability. Dealing with and resolving problems and issues which arise.

#programming with vishal

What is GEEK

Buddha Community

What is Directory Listing Vulnerability and How Do I Fix It?
HI Python

HI Python

1640973720

Beyonic API Python Example Using Flask, Django, FastAPI

Beyonic API Python Examples.

The beyonic APIs Docs Reference: https://apidocs.beyonic.com/

Discuss Beyonic API on slack

The Beyonic API is a representational state transfer, REST based application programming interface that lets you extend the Beyonic dashboard features into your application and systems, allowing you to build amazing payment experiences.

With the Beyonic API you can:

  • Receive and send money and prepaid airtime.
  • List currencies and networks supported by the Beyonic API.
  • Check whether a bank is supported by the Beyonic API.
  • View your account transactions history.
  • Add, retrieve, list, and update contacts to your Beyonic account.
  • Use webhooks to send notifications to URLs on your server that when specific events occur in your Beyonic account (e.g. payments).

Getting Help

For usage, general questions, and discussions the best place to go to is Beyhive Slack Community, also feel free to clone and edit this repository to meet your project, application or system requirements.

To start using the Beyonic Python API, you need to start by downloading the Beyonic API official Python client library and setting your secret key.

Install the Beyonic API Python Official client library

>>> pip install beyonic

Setting your secrete key.

To set the secrete key install the python-dotenv modeule, Python-dotenv is a Python module that allows you to specify environment variables in traditional UNIX-like “.env” (dot-env) file within your Python project directory, it helps us work with SECRETS and KEYS without exposing them to the outside world, and keep them safe during development too.

Installing python-dotenv modeule

>>> pip install python-dotenv

Creating a .env file to keep our secrete keys.

>>> touch .env

Inside your .env file specify the Beyonic API Token .

.env file

BEYONIC_ACCESS_KEY = "enter your API "

You will get your API Token by clicking your user name on the bottom left of the left sidebar menu in the Beyonic web portal and selecting ‘Manage my account’ from the dropdown menu. The API Token is shown at the very bottom of the page.

getExamples.py

import os 
import beyonic
from dotenv import load_dotenv 

load_dotenv()

myapi = os.environ['BEYONIC_ACCESS_KEY']

beyonic.api_key = myapi 

# Listing account: Working. 
accounts = beyonic.Account.list() 
print(accounts)


#Listing currencies: Not working yet.
'''
supported_currencies = beyonic.Currency.list()
print(supported_currencies)

Supported currencies are: USD, UGX, KES, BXC, GHS, TZS, RWF, ZMW, MWK, BIF, EUR, XAF, GNF, XOF, XOF
'''

#Listing networks: Not working yet.
"""
networks = beyonic.Network.list()
print(networks)
"""

#Listing transactions: Working. 
transactions = beyonic.Transaction.list()
print(transactions) 

#Listing contact: Working. 
mycontacts = beyonic.Contact.list() 
print(mycontacts) 


#Listing events: Not working yet.
'''
events = beyonic.Event.list()
print(events)

Error: AttributeError: module 'beyonic' has no attribute 'Event'
'''

Docker file

FROM python:3.8-slim-buster

COPY . .

COPY ./requirements.txt ./requirements.txt

WORKDIR .

RUN pip install -r requirements.txt

CMD [ "python3", "getExamples.py" ]

Build docker image called demo

>>> docker build -t bey .

Run docker image called demo

>>>docker run -t -i bey 

Now, I’ll create a Docker compose file to run a Docker container using the Docker image we just created.


version: "3.6"
services:
  app:
    build: .
    command: python getExamples.py
    volumes:
      - .:/pythonBeyonicExamples

Now we are going to run the following command from the same directory where the docker-compose.yml file is located. The docker compose up command will start and run the entire app.


docker compose up

Output

NB: The screenshot below might differ according to your account deatils and your transcations in deatils.

docker compose up preview

To stop the container running on daemon mode use the below command.

docker compose stop

Output

docker compose preview

Contributing to this repository. All contributions, bug reports, bug fixes, enhancements, and ideas are welcome, You can get in touch with me on twitter @HarunMbaabu.

Download Details:
Author: HarunMbaabu
Source Code: https://github.com/HarunMbaabu/BeyonicAPI-Python-Examples
License: 

#api #python #flask #django #fastapi 

I am Developer

1620616862

How to Delete Directories and Files in Linux using Command Line

In this remove or delete directories and files linux tutorial guide, you will learn how to remove empty directory and non empty directory linux using command line. And as well as how to remove/file files linux using command line.

If you work with Linux then you will need the following:

  • how to remove empty directory in linux,
  • how to remove non empty directory,
  • how to remove directory without confirmation linux
  • how to remove files with and without confirmation in linux.

So, this tutorial guide will show you you how to use the rmunlink, and rmdir commands to remove or delete files and directories in Linux with and without confirmation.

https://www.tutsmake.com/how-to-remove-directories-and-files-using-linux-command-line/

#how to delete directory in linux #how to remove non empty directory in linux #remove all files in a directory linux #linux delete all files in current directory #linux delete all files in a directory recursively #delete all files in a directory linux

Wilford  Pagac

Wilford Pagac

1596877200

Critical Cisco Flaw Fixed in Data Center Network Manager

The flaw could allow a remote, unauthenticated attacker to bypass authentication on vulnerable devices.

Cisco is warning of several critical and high-severity flaws in its Data Center Network Manager (DCNM) for managing network platforms and switches.

DCNM is a platform for managing Cisco data centers that run Cisco’s NX-OS — the network operating system used by Cisco’s Nexus-series Ethernet switches and MDS-series Fibre Channel storage area network switches. The flaws exist in the REST API of DCNM — and the most serious of these could allow an unauthenticated, remote attacker to bypass authentication, and ultimately execute arbitrary actions with administrative privileges on a vulnerable device.

The critical flaw (CVE-2020-3382), which was found during internal security testing, rates 9.8 out of 10 on the CVSS scale, making it critical in severity. While the flaw is serious, the Cisco Product Security Incident Response Team said it is not aware of any public announcements or malicious exploits of the vulnerability.

“The vulnerability exists because different installations share a static encryption key,” said Cisco, in a security update on Wednesday. “An attacker could exploit this vulnerability by using the static key to craft a valid session token. A successful exploit could allow the attacker to perform arbitrary actions through the REST API with administrative privileges.”

This vulnerability affects all deployment modes of all Cisco DCNM appliances that were installed using .ova or .iso installers, and affects Cisco DCNM software releases 11.0(1), 11.1(1), 11.2(1), and 11.3(1).

“Cisco has confirmed that this vulnerability does not affect Cisco DCNM instances that were installed on customer-provided operating systems using the DCNM installer for Windows or Linux,” said Cisco. “Cisco has also confirmed that this vulnerability does not affect Cisco DCNM software releases 7.x and 10.x.”

Cisco has released software updates that address the vulnerability, though there are no workarounds that address the flaw.

Cisco also patched five high-severity flaws in DCNM, including two command-injection flaws (CVE-2020-3377 and CVE-2020-3384 ) that could allow an authenticated, remote attacker to inject arbitrary commands on affected devices; a path traversal issue (CVE-2020-3383) that could enable an authenticated, remote attacker to conduct directory traversal attacks on vulnerable devices; an improper authorization flaw (CVE-2020-3386), allowing an authenticated, remote attacker with a low-privileged account to bypass authorization on the API of an affected device; and an authentication bypass glitch (CVE-2020-3376) allowing an unauthenticated, remote attacker to bypass authentication and execute arbitrary actions on an affected device.

DCNM came in the spotlight earlier this year when three critical vulnerabilities (CVE-2019-15975, CVE-2019-15976, CVE-2019-15977) were discovered in the tool in January. Two critical flaws were also found last year in DCNM, which could allow attackers to take control of impacted systems.

Cisco on Wednesday also patched a critical vulnerability (CVE-2020-3374) in the web-based management interface of its SD-WAN vManage Network Management system (the centralized management platform). This flaw could allow a remote attacker to bypass authorization, enabling them to access sensitive information, modify the system configuration, or impact the availability of the affected system – but the attacker would need to be authenticated to exploit the flaw.

#vulnerabilities #web security #cisco #critical cisco flaw #cve-2020-3382 #data center network manager #dcnm #fix #patch #rest api #security #vulnerability

I am Developer

1597487472

Country State City Dropdown list in PHP MySQL PHP

Here, i will show you how to populate country state city in dropdown list in php mysql using ajax.

Country State City Dropdown List in PHP using Ajax

You can use the below given steps to retrieve and display country, state and city in dropdown list in PHP MySQL database using jQuery ajax onchange:

  • Step 1: Create Country State City Table
  • Step 2: Insert Data Into Country State City Table
  • Step 3: Create DB Connection PHP File
  • Step 4: Create Html Form For Display Country, State and City Dropdown
  • Step 5: Get States by Selected Country from MySQL Database in Dropdown List using PHP script
  • Step 6: Get Cities by Selected State from MySQL Database in DropDown List using PHP script

https://www.tutsmake.com/country-state-city-database-in-mysql-php-ajax/

#country state city drop down list in php mysql #country state city database in mysql php #country state city drop down list using ajax in php #country state city drop down list using ajax in php demo #country state city drop down list using ajax php example #country state city drop down list in php mysql ajax

Sheldon  Grant

Sheldon Grant

1669443907

Beginners Guide to Web Scraping with Python

Web Scraping with Python

Imagine you have to pull a large amount of data from websites and you want to do it as quickly as possible. How would you do it without manually going to each website and getting the data? Well, “Web Scraping” is the answer. Web Scraping just makes this job easier and faster. 

In this article on Web Scraping with Python, you will learn about web scraping in brief and see how to extract data from a website with a demonstration. I will be covering the following topics:

  • Why is Web Scraping Used?
  • What Is Web Scraping?
  • Is Web Scraping Legal?
  • Why is Python Good For Web Scraping?
  • How Do You Scrape Data From A Website?
  • Libraries used for Web Scraping
  • Web Scraping Example : Scraping Flipkart Website

Why is Web Scraping Used?

Web scraping is used to collect large information from websites. But why does someone have to collect such large data from websites? To know about this, let’s look at the applications of web scraping:

  • Price Comparison: Services such as ParseHub use web scraping to collect data from online shopping websites and use it to compare the prices of products.
  • Email address gathering: Many companies that use email as a medium for marketing, use web scraping to collect email ID and then send bulk emails.
  • Social Media Scraping: Web scraping is used to collect data from Social Media websites such as Twitter to find out what’s trending.
  • Research and Development: Web scraping is used to collect a large set of data (Statistics, General Information, Temperature, etc.) from websites, which are analyzed and used to carry out Surveys or for R&D.
  • Job listings: Details regarding job openings, interviews are collected from different websites and then listed in one place so that it is easily accessible to the user.

What is Web Scraping?

Web scraping is an automated method used to extract large amounts of data from websites. The data on the websites are unstructured. Web scraping helps collect these unstructured data and store it in a structured form. There are different ways to scrape websites such as online Services, APIs or writing your own code. In this article, we’ll see how to implement web scraping with python. 

Web Scraping - Edureka

Is Web Scraping Legal?

Talking about whether web scraping is legal or not, some websites allow web scraping and some don’t. To know whether a website allows web scraping or not, you can look at the website’s “robots.txt” file. You can find this file by appending “/robots.txt” to the URL that you want to scrape. For this example, I am scraping Flipkart website. So, to see the “robots.txt” file, the URL is www.flipkart.com/robots.txt.

Why is Python Good for Web Scraping?

Here is the list of features of Python which makes it more suitable for web scraping.

  • Ease of Use: Python Programming is simple to code. You do not have to add semi-colons “;” or curly-braces “{}” anywhere. This makes it less messy and easy to use.
  • Large Collection of Libraries: Python has a huge collection of libraries such as Numpy, Matlplotlib, Pandas etc., which provides methods and services for various purposes. Hence, it is suitable for web scraping and for further manipulation of extracted data.
  • Dynamically typed: In Python, you don’t have to define datatypes for variables, you can directly use the variables wherever required. This saves time and makes your job faster.
  • Easily Understandable Syntax: Python syntax is easily understandable mainly because reading a Python code is very similar to reading a statement in English. It is expressive and easily readable, and the indentation used in Python also helps the user to differentiate between different scope/blocks in the code. 
  • Small code, large task: Web scraping is used to save time. But what’s the use if you spend more time writing the code? Well, you don’t have to. In Python, you can write small codes to do large tasks. Hence, you save time even while writing the code.
  • Community: What if you get stuck while writing the code? You don’t have to worry. Python community has one of the biggest and most active communities, where you can seek help from.

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How Do You Scrape Data From A Website?

When you run the code for web scraping, a request is sent to the URL that you have mentioned. As a response to the request, the server sends the data and allows you to read the HTML or XML page. The code then, parses the HTML or XML page, finds the data and extracts it. 

To extract data using web scraping with python, you need to follow these basic steps:

  1. Find the URL that you want to scrape
  2. Inspecting the Page
  3. Find the data you want to extract
  4. Write the code
  5. Run the code and extract the data
  6. Store the data in the required format 

Now let us see how to extract data from the Flipkart website using Python.

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Libraries used for Web Scraping 

As we know, Python is has various applications and there are different libraries for different purposes. In our further demonstration, we will be using the following libraries:

  • Selenium:  Selenium is a web testing library. It is used to automate browser activities.
  • BeautifulSoup: Beautiful Soup is a Python package for parsing HTML and XML documents. It creates parse trees that is helpful to extract the data easily.
  • Pandas: Pandas is a library used for data manipulation and analysis. It is used to extract the data and store it in the desired format. 

Web Scraping Example : Scraping Flipkart Website

Pre-requisites:

  • Python 2.x or Python 3.x with Selenium, BeautifulSoup, pandas libraries installed
  • Google-chrome browser
  • Ubuntu Operating System

Let’s get started!

Step 1: Find the URL that you want to scrape

For this example, we are going scrape Flipkart website to extract the Price, Name, and Rating of Laptops. The URL for this page is https://www.flipkart.com/laptops/~buyback-guarantee-on-laptops-/pr?sid=6bo%2Cb5g&uniqBStoreParam1=val1&wid=11.productCard.PMU_V2.

Step 2: Inspecting the Page

The data is usually nested in tags. So, we inspect the page to see, under which tag the data we want to scrape is nested. To inspect the page, just right click on the element and click on “Inspect”.

Inspect Button - Web Scraping with Python - Edureka

When you click on the “Inspect” tab, you will see a “Browser Inspector Box” open.

Inspecting page - Web Scraping with Python - Edureka

Step 3: Find the data you want to extract

Let’s extract the Price, Name, and Rating which is in the “div” tag respectively.

Step 4: Write the code

First, let’s create a Python file. To do this, open the terminal in Ubuntu and type gedit <your file name> with .py extension.

I am going to name my file “web-s”. Here’s the command:

gedit web-s.py

Now, let’s write our code in this file. 

First, let us import all the necessary libraries:

from selenium import webdriver
from BeautifulSoup import BeautifulSoup
import pandas as pd

To configure webdriver to use Chrome browser, we have to set the path to chromedriver

driver = webdriver.Chrome("/usr/lib/chromium-browser/chromedriver")

Refer the below code to open the URL:

products=[] #List to store name of the product
prices=[] #List to store price of the product
ratings=[] #List to store rating of the product
driver.get("<a href="https://www.flipkart.com/laptops/">https://www.flipkart.com/laptops/</a>~buyback-guarantee-on-laptops-/pr?sid=6bo%2Cb5g&amp;amp;amp;amp;amp;amp;amp;amp;amp;uniq")

Now that we have written the code to open the URL, it’s time to extract the data from the website. As mentioned earlier, the data we want to extract is nested in <div> tags. So, I will find the div tags with those respective class-names, extract the data and store the data in a variable. Refer the code below:

content = driver.page_source
soup = BeautifulSoup(content)
for a in soup.findAll('a',href=True, attrs={'class':'_31qSD5'}):
name=a.find('div', attrs={'class':'_3wU53n'})
price=a.find('div', attrs={'class':'_1vC4OE _2rQ-NK'})
rating=a.find('div', attrs={'class':'hGSR34 _2beYZw'})
products.append(name.text)
prices.append(price.text)
ratings.append(rating.text) 

Step 5: Run the code and extract the data

To run the code, use the below command:

python web-s.py

Step 6: Store the data in a required format

After extracting the data, you might want to store it in a format. This format varies depending on your requirement. For this example, we will store the extracted data in a CSV (Comma Separated Value) format. To do this, I will add the following lines to my code:

df = pd.DataFrame({'Product Name':products,'Price':prices,'Rating':ratings}) 
df.to_csv('products.csv', index=False, encoding='utf-8')

Now, I’ll run the whole code again.

A file name “products.csv” is created and this file contains the extracted data.

web-scraping-with-python-output-Edureka

I hope you guys enjoyed this article on “Web Scraping with Python”. I hope this blog was informative and has added value to your knowledge. Now go ahead and try Web Scraping. Experiment with different modules and applications of Python

If you wish to know about Web Scraping With Python on Windows platform, then the below video will help you understand how to do it or you can also join our Python Master course.

Web Scraping With Python | Python Tutorial | Web Scraping Tutorial | Edureka

This Edureka live session on “WebScraping using Python” will help you understand the fundamentals of scraping along with a demo to scrape some details from Flipkart.

Got a question regarding “web scraping with Python”? You can ask it on edureka! Forum and we will get back to you at the earliest or you can join our Python Training in Hobart today..

To get in-depth knowledge on Python Programming language along with its various applications, you can enroll here for live online Python training with 24/7 support and lifetime access.

Original article source at: https://www.edureka.co/

#webscraping #python