It had to be a service that we wouldn’t need to touch except philippines whatsapp number to add or remove regular expressions that matched sensitive data. Deadshot is a Python-based Flask-Celery-Redis multi-container application that is installed as a Github application and runs on every pull request created on the master branch of a directory where you install it. The Flask container exposes API routes to receive pull request payloads. When a pull request payload is received, the service forwards the payload to a Redis queue. The Celery container retrieves the payload from the queue and parses the pull request diff, looking for the specified sensitive data.
If it finds a match, the Celery container adds comments to the pull request, notifies the appropriate Slack channel, or creates a JIRA issue. Try Deadshot At Twilio, Deadshot has proven to be very useful for capturing sensitive data in pull requests before they are merged into a repository. We are excited to release this application to the open source community and look forward to seeing how your organization leverages Deadshot.Why do we do this? Twilio takes the security of our customers seriously and we are constantly working to improve our security strategy. The Content Security Policy provides several guidelines that can be used to improve security.
We start with the that frame-ancestors allow us to better protect our customers from web attacks such as clickjacking. What's changing with Twilio's Content Security Policy? On twilio.com you will see a new HTTP response header called Content-Security-Policy which will block any attempts by third party sites to load twilio.com in an HTML iframe or any other web framing methodology. What should I do? If you are currently loading twilio.com web pages in a frame on your own site, you will need to stop this practice. The use of iframes and other web content frames no longer works as of May 24, 2021.