title | description |
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Steampipe Table: auth0_log - Query Auth0 Logs using SQL |
Allows users to query Auth0 Logs, providing detailed insights into user activities, system events, and security-relevant incidents. |
Auth0 Logs is a resource within the Auth0 Identity Platform that records and stores user activities, system events, and security-relevant incidents. It is designed to give administrators detailed visibility into the behaviors and actions within their Auth0 environment. Auth0 Logs aids in monitoring, troubleshooting, and maintaining the health and security of Auth0 applications.
The auth0_log
table provides insights into the logs within Auth0 Identity Platform. As a system administrator or security analyst, you can use this table to explore detailed log entries, including user activities, system events, and potential security incidents. This table is particularly useful for monitoring user behavior, troubleshooting issues, and enhancing the security posture of your Auth0 applications.
Identify instances where login attempts have failed to gain insights into potential security risks. This allows for a review of the associated IP addresses and user agents, enabling the detection and prevention of unauthorized access.
select
date,
description,
ip,
user_agent
from
auth0_log
where
type = 'f'
order by
date desc;
select
date,
description,
ip,
user_agent
from
auth0_log
where
type = 'f'
order by
date desc;
Explore which authentication events are associated with a specific client ID. This can help in analyzing user behavior or troubleshooting issues related to a particular client application.
select
date,
description,
ip,
is_mobile
from
auth0_log
where
client_id = 'FrSZDDFGUH0afar5LHmCji1khmPmst6R'
order by
date desc;
select
date,
description,
ip,
is_mobile
from
auth0_log
where
client_id = 'FrSZDDFGUH0afar5LHmCji1khmPmst6R'
order by
date desc;
Explore instances of account and IP blockings to understand potential security threats. This query helps in identifying suspicious activities by analyzing the patterns of blocked accounts and IP addresses.
select
date,
description,
ip,
is_mobile
from
auth0_log
where
type in ('limit_mu', 'limit_wc', 'limit_sul')
order by
date desc;
select
date,
description,
ip,
is_mobile
from
auth0_log
where
type in ('limit_mu', 'limit_wc', 'limit_sul')
order by
date desc;
Analyze successful login patterns to understand the proportion of mobile versus non-mobile users. This can aid in tailoring user experiences based on device preference.
select
is_mobile,
count(1)
from
auth0_log
where
type = 's'
group by
is_mobile;
select
is_mobile,
count(1)
from
auth0_log
where
type = 's'
group by
is_mobile;