Auth0 is a cloud-based, extensible identity provider for applications. The Sumo Logic App for Auth0 makes it easy to analyze and visualize your Auth0 event logs, and provides insight into security and operational issues.
For more information, see Export Logs to Sumo Logic.
Collecting Logs for Auth0
This procedure explains how to collect error logs from Auth0.
Sumo Logic collects the following log types:
- Logins, both successes and failures
- Token exchanges, both successes and failures
- Warnings during logins
- User deletion
- Login failure reasons
- Connection errors
- User signup events
- Verification email events
- Password changes
- Rate limiting events
- Other operational events and errors
For more information about Auth0 logs, see https://auth0.com/docs/api/managemen.../Logs/get_logs
Use the Auth0 Management Portal to configure the extension. For more information, see https://auth0.com/docs/extensions/sumologic.
Configure a Collector
Use the in-product setup wizard in the Sumo Logic UI to configure a Custom App.
Configure a Source
Source type is HTTP.
- Name: Required
- Timestamp Parsing Settings:
- Enable Timestamp Parsing: True
- Timezone: Logs are sent in UTC by default and can be automatically detected
- Timestamp Format: Select Specify a format and use the following, \
yyyy-MM-dd'T'HH:mm:ss.SSS'Z' \Timestamp locator:
- Multi-line Parsing Settings:
- Detect Messages Spanning Multiple Lines: True
- Multi Line Boundary: Infer Boundaries
Use Field Extraction Rules
json "date", "type", "client_id", "client_name", "ip", "user_id"
Sample Log Messages
"client_name": "My application Name",
"description": "Wrong email or password.",
"user_agent": "Other 0.0.0 / Other 0.0.0",
"message": "Wrong email or password."
| json "client_name"
| where client_name != ""
| timeslice by 1d
| count by _timeslice, client_name
| transpose row _timeslice column client_name
| json "auth0_client.name", "auth0_client.version"
| concat(%auth0_client.name, " ", %auth0_client.version) as auth0_client_version
| timeslice 1h
| count by _timeslice, auth0_client_version
| transpose row _timeslice column auth0_client_version
| json "type", "connection", "description", "client_name"
| where type != "slo"
| count client_name, connection, description
| top 10 client_name, connection, description by _count
Installing the Auth0 App
Now that you have set up collection for Auth0, install the Sumo Logic App for Auth0 to use the preconfigured searches and dashboards that provide insight into your data.
To install the app:
Locate and install the app you need from the App Catalog. If you want to see a preview of the dashboards included with the app before installing, click Preview Dashboards.
- From the App Catalog, search for and select the app.
- Select the version of the service you're using and click Add to Library. Version selection is applicable only to a few apps currently. For more information, see Installing the Apps from the Library.
- To install the app, complete the following fields.
- App Name. You can retain the existing name, or enter a name of your choice for the app.
- Data Source. Select either of these options for the data source.
- Choose Source Category, and select a source category from the list.
- Choose Enter a Custom Data Filter, and enter a custom source category beginning with an underscore. Example: (
- Advanced. Select the Location in Library (the default is the Personal folder in the library), or click New Folder to add a new folder.
- Click Add to Library.
Once an app is installed, it will appear in your Personal folder, or other folder that you specified. From here, you can share it with your organization.
Panels will start to fill automatically. It's important to note that each panel slowly fills with data matching the time range query and received since the panel was created. Results won't immediately be available, but with a bit of time, you'll see full graphs and maps.
Viewing Auth0 Dashboards
Login Event by Location. Performs a geo lookup operation and displays user logins based on IP address on a map of the world for the last 24 hours.
Logins per Hour. Displays a line chart on a timeline showing the number of failed and successful logins per hour, over the last seven days.
Top 10 Users by Successful Login. Shows a table chart with the top ten users with the most successful logins, including user name and count for the last 24 hours.
Top 10 Users by Failed Login. Provides a table chart with the top ten users with the most failed logins, including user name and count for the last 24 hours.
Top 10 Source IPs by Failed Login. Displays a table chart with a list of ten source IP addresses causing the most failed logins, including IP and count, for the last 24 hours.
Top 10 User Agents. Displays the top ten most popular user agents in a pie chart from all connections for the last seven days.
Top 10 Operating Systems. Shows the top ten most popular operating systems based on user agent in a pie chart for the last seven days.
Guardian MFA Activity. Displays a line chart on a timeline showing the number of each Guardian MFA event per hour for the last seven days.
Connections and Clients
Logins by Client and Country. Displays a stacked bar chart showing the number of successful logins for the last 24 hours, grouped by both client and country name. This visualizes the relative popularity of each client overall, as well as in a given country.
Logins by Client per Day. Shows a stacked bar chart on a timeline showing the number of successful logins for the last seven days, grouped by client per day. This shows the popularity of each client over the past week, and the relative popularity among clients.
Connection Types per Hour. Provides a line chart on a timeline of the connection types used for the past seven days.
Client Version Usage. Displays a line chart on a timeline of the Auth0 library version being used by all clients for the past seven days. This is useful to detect outdated clients, as well as to track upgrades.
Top 10 Clients. Shows a table chart that lists the ten most popular clients, including client name and count for the past 24 hours.
Top 10 Recent Errors. Provides a table chart with a list of the ten most frequent errors, including details on client name, connection, description and count for the last 24 hours. This is useful for discovering and troubleshooting operational issues.