I am building a web application that uses Microsoft's Graph API to authenticate and authorize the program to send emails on behalf of the client. The quickstart microsoft provides works locally but I need the authentication code that I'm provided locally to be given to the 3rd party user instead. I was thinking I could put the authentication code into a variable and then send it to the user via twilio API, but can't find a way to reference the authentication code.
The graph API outputs this message in my IDE but I can't find where this message and code originate.
"To sign in, use a web browser to open the page https://microsoft.com/devicelogin and enter the code ABX9TEZ45 to authenticate." (the code I provided is fictitious)
Related
I'm attempting to use the Microsoft Graph API to send emails and edit excel documents from my works 355 environment.
I'm able to get into Active directory and register an app, but I'm unsure how to figure out authentication without having a webervice, azure hosting etc.
It seems that most authentication flows need a redirect URl to receive the token after sending the client id and secret.
Is there a way for me to authenticate from a python script sitting on a local Windows machine with no static IP?
The client credentials flow doesn't require a redireturi there is a good sample of using the MSAL in phython https://github.com/AzureAD/microsoft-authentication-library-for-python/blob/dev/sample/confidential_client_secret_sample.py
If you want to use delegate authentication the other way would be the device code flow https://github.com/Azure-Samples/ms-identity-python-devicecodeflow
Another option is the native redirect you might want to look at something like https://pypi.org/project/msal-interactive-token-acquirer/
I don't know why I can't find confirmation in the docs, maybe I am not navigating them correctly, although MSAL seems to have options to fit it into any application. This is my first time integrating a SAML sso procedure into any of my web-apps. I am just looking for some clarity on the correct, and secure way to verify the person attempting to login, is actually logged in with the IDP.
I am confused at the part after confirmation of login is given to my redirect API, I currently have it all happening on the front-end, then submitting the response to my back-end. Which is a RESTful API built with Django, and postgres database. At this point, I am thinking I need to verify my accessToken for authenticity, but I am unsure if I should be creating another PublicClient instance in python, and then sending the same commands to the IDP.
To guess at this point, I'm thinking this is wrong, as I need to verify the token, rather than get another Access and Refresh token. I'm thinking I just need to verify there is a session open with the IDP, and that the Access Token matches. Can anyone shed some light on this, possibly provide even just some direction.
The client Python Django Web App uses the Microsoft Authentication Library (MSAL) to sign-in and obtain an Access Token from Azure AD.
The access token is used as a bearer token to authorize the user to call the Python Flask Web API protected by Azure AD.
The Python Flask Web API then receives a token for Azure Resource Management API using the On-Behalf-Of flow.
To learn more about handing access token validation at the API layer, look into this sample walkthrough: https://github.com/Azure-Samples/ms-identity-python-on-behalf-of#about-the-code
https://learn.microsoft.com/en-us/azure/active-directory/develop/access-tokens#validating-tokens
I am trying to create a daemon python application which will get emails from outlook server using Microsoft outlook graph API. They have provided excellent tutorial and documentation on how to get it done for python app like django and flask. But I want to create daemon script which can get access code without using web interface(which was used in django).
Note: This app will only collect email from single email and will feed it to db.
Any help is appriciated.
It really depends on what kind of security you need. You can have your daemon/service authenticate with username/password directly, or you can have it authenticate with a certificate.
There are several different authentication scenarios, take a look at the docs page.
Either way, you need to register your daemon as an app in Azure and give it permissions to the Outlook API, just as if it were a web app.
I'm trying to access my GAE app from outside the browser.
At the moment it's Python script but I'm planning desktop C++ app.
I'm fallowing Using OAuth 2.0 for Installed Applications.
So far I managed to access user info:
https://www.googleapis.com/oauth2/v1/userinfo?alt=json
However every call to my GAE ends up with redirection to login page.
Is there a way to do authenticated calls to GAE from a script?
Please take a look at my test code
My goal:
Use Python script on my local machine to get data (json endpoint, static file, html, whatever) from my GAE app as authenticated user.
I believe this is sort of possible using ClientLogin (deprecated) https://developers.google.com/accounts/docs/AuthForInstalledApps.
However, I have found it much easier to just have an API secret string that I use (in a header, over HTTPS) to say that the request is from an approved script.
Alternatively you can do the oauth login flow (whichever flow you want, using your own oauth app), but you don't want to use any login: tags in app.yaml, just do it entirely in your Python code.
I'm writing a opensource app in python following this example:
https://developers.google.com/gmail/api/quickstart/quickstart-python?hl=it
I generated correctly the client_secret.json and ran successfully that example.
Now.. considering I'm starting to write my code and according with google doc:
Warning: Keep your client secret private. If someone obtains your client secret, they could use it to consume your quota, incur charges against your Google APIs Console project, and request access to user data.
so, how can I (in the future) share my app's code and keep at same time the client_secret.json secret?
Ok, I got the answer here:
https://developers.google.com/accounts/docs/OAuth2InstalledApp
This flow is similar to the one shown in the Using OAuth 2.0 for Web
Server Applications, but with three differences:
When creating a client ID, you specify that your application is an
Installed application. This results in a different value for the
redirect_uri parameter.
The client ID and client secret obtained from
the Developers Console are embedded in the source code of your
application. In this context, the client secret is obviously not
treated as a secret.
The authorization code can be returned to your
application in the title bar of the browser or to an http ://localhost
port in the query string.
In other words, if you specify that your project is an "Installed Application" while creating it in the Google APIs Console, you can safely embed secret in your code