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WhereToGo - is a list of popular services that might be used in organizations. By having an account of the user - you can try to find entry points to the organization data.

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Where To Go with account in the corporate environment.

Due to security assessments of different projects, I found different leaked/exposed accounts on the domain of the organization. But every time it was so difficult to discover the place where I can reuse those credentials and how can I expand my attack surface. I started collecting a list of popular technological services which might have high value in case of improper access. This project should help researchers, pentesters, bounty-hunters to expand the risks of compromised accounts in the corporate environment.

Service Name Trusted login providers
Gitlab Google, Salesforce, Github, Bitbucket, Twitter
Travis CI Github, Bitbucket, Gitlab, Assembla
Grafana Google, Github, Microsoft
Sentry Google, Github, Azure DevOps
Slack Google
Raygun Github, Twitter, Facebook, Google
Datadog Google
Atlassian Google, Microsoft, Apple
Trello Google, Microsoft, Apple
Trailblazer Salesforce
Bitbucket Google, Microsoft, Apple
Elastic Cloud Google, Microsoft
Netdata Cloud Google, Github
Jetbrains Bitbucket
Box Google
Skype Microsoft
Dropbox Google, Apple
Auth0 Github, Google, Linkedin, Microsoft
Miro Google, Facebook, Slack, Office365, Apple
Salesforce -
GitHub -
Eclipse -
Docusign -
Dynatrace -
Tenera -
Docker -
New Relic -
Hotjar Google
Splunk -
Outlook -
Azure Github
AWS -
Pivotal Tracker Google
Jamf -
JumpCloud -
⚠️ Disclaimer The authors of this document take no responsibility for correctness. This project is merely here to help guide security researchers towards determining whether something is vulnerable or not, but does not guarantee accuracy. This project heavily relies on contributions from the public. The information included at this page is for educational purposes.

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WhereToGo - is a list of popular services that might be used in organizations. By having an account of the user - you can try to find entry points to the organization data.

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