Python 3.6 adds New secrets Module for Robust Account and Password Security

python-ev.png

Python 3.6, the newest major release of the Python language, has added a new module, called secrets, to help generate cryptographically strong random numbers for managing secrets, like account authentication, tokens and related secrets. Python developers are highly likely to prefer secrets over the default pseudo-random number generator in the random module, since it’s not meant for cryptography or security, but modelling and simulation.

Let’s understand with an example how one can create their own cryptographically strong pseudo-random values and generate tokens using the secrets module.

How to create Cryptographically Strong Pseudo-Random Values using secrets

>>> import secrets
>>> import string
>>> characters = string.ascii_letters + string.digits
>>> secure_password = ''.join(secrets.choice(chNo Records.aracters) for i in range(10))
>>> secure_password
'SRvM54ZAs1'

The first step is to import the secrets and the string modules. Then we create a string of uppercase letters and integers. Now, in order to choose characters randomly to generate a secure password, we need to use the secrets module’s choice() method. The reason it’s being called a secure password is because there’s been a use of mixed case, numbers and symbols in the password, which is highly advised to people to keep their passwords protected from hack attacks.

How to Generate Tokens using secrets

There is not one but several methods to generate tokens using the secrets module. Below are mentioned some examples to ease your learning on token generation using secrets.

>>>: secrets.token_bytes()
b'\xd1Od\xe0\xe4\xf8Rn\xf4G\xdb\x08\xa8\x85\xeb\xba>\x8cO\xa7XV\x1cb\xd6\x11\xa0\xcaK'

>>> secrets.token_bytes(8)
b'\xfc,9y\xbe]\x0e\xfb'

>>> secrets.token_hex(16)
'6cf3baf51c12ebfcbe26d08b6bbe1ac0'

>>> secrets.token_urlsafe(16)
'5t_jLGlV8yp2Q5tolvBesQ'

The token_bytes function here allows to return a random byte string containing nbytes number of bytes. A reasonable default could also be put into use when nbytes is None or not supplied. In the first example, there is no mention of number of bytes, hence Python itself choose a reasonable number there. The token-bytes function was used again, but this time with 8 bytes. The next function used was token_hex, to return a random text string, in hexadecimal. The token_urlsafe function is the last one used there, meant to return a random URL-safe text string. Base64 encoding was also used for text.

Click here to unveil 7 Python libraries to use in 2017

How Many Bytes to Use for Tokens?

You should have sufficient randomness for your tokens to secure them against brute-force attacks. It’s advised that at least 32 bytes (256 bits) of randomness should be used to protect tokens from security breaches.

The Python developer community will see the secrets module as an important addition to Python 3.6. With secrets, Python 3.6 developers now have a reliable way to generate cryptographically strong tokens and passwords.

What’s your view on addition of secrets to Python 3.6? Would you like to give the secrets module a try for generating tokens and passwords? Please share your views in the comment box below.

Source 1: http://www.blog.pythonlibrary.org/

Source 2: https://docs.python.org 


Why to Use HTML5 and CSS3 for Your Business?
Why Do Developers Now Compare Vue.js to JavaScript...

Comments

 
No comments yet
Already Registered? Login Here
Guest
Friday, 02 January 2026
If you'd like to register, please fill in the username, password and name fields.

SEARCH BLOG

ARCHIVES

development Salesforce CRM offshore software development business offshore software development company software C++ application outsourcing apps web java Cloud computing web development mobile app development Big Data Analytics app development cloud Big Data custom mobile app development company J2ee website IT developers project management IT consulting and software development developer javascript QA Offshore development India Salesforce customization Evon Technologies NodeJs software development Salesforce consulting Automation Web 3.0 Offshore development Android development Product Development consultant programming Web app development Software development and testing Salesforce Cloud Services testing enterprise mobile Salesforce CRM Offshore software development services Joomla developers QA and Testing business analysts risk management Salesforce Mobile Development startups Blockchain EmployeeEngagement digital marketing services Salesforce cloud Progressive Web Apps digital marketing services india iOS apps DevOps data Social Media Marketing Salesforce development MVP Development language software development outsourcing Web application consulting Python Agile Development data security offshore Salesforce Lightning Agile product Development project management methodology Big Data Cloud Database & Computing | WordPress task management Marketing Automation Services Project Manager salesforce apps Business Growth time tracking MVP software Azure Java development tools marketing automation companies Resource Management AI project management methodologies c++ language Scrum Content Management System Big data and lead generation JUnit