Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

172 detections

Detects when Okta FastPass prevents a known phishing site.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
001
Detects when a new identity provider is created for Okta.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
001
Detects when an Okta policy is modified or deleted.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
001
Detects when an Policy Rule is Modified or Deleted.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
001
Detects when unauthorized access to app occurs.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
001
Detects when an user account is locked out.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
001
Detects when an attempt at deactivating or resetting MFA.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects when a new admin role assignment is created. Which could be a sign of privilege escalation or persistence
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects when a API token is created
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects when a API Token is revoked.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects when an application Sign-on Policy is modified or deleted.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects when an Network Zone is Deactivated or Deleted.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects when a user has potentially entered their password into the
username field, which will cause the password to be retained in log files.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects when an security threat is detected in Okta.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects new user account creation
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
This rule detects impossible travel scenarios for Azure logins by calculating the speed required to travel between two consecutive login locations for the same user. It flags logins where the calculated speed exceeds the maximum speed of a commercial passenger aircraft (900 km/h) and the logins originate from different countries. Mobile device logins are excluded to reduce false positives related to VPN usage.
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Aamir Muhammad@Aamir
CrowdStrike Logscale
7 months ago
101154
This rule detects impossible travel scenarios for Azure logins by calculating the speed required to travel between two consecutive login locations for the same user. It flags logins where the calculated speed exceeds the maximum speed of a commercial passenger aircraft (900 km/h) and the logins originate from different countries. Mobile device logins are excluded to reduce false positives related to VPN usage.
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Aamir Muhammad@Aamir
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Detections.ai Community
7 months ago
30102
Identifies successful Entra ID sign-ins using the Device Code Flow from a geographic location not seen for that user in the last 30 days. The device code flow involves two separate interactions (the attacker's device and the victim's browser), so a mismatch between the sign-in location and the user's established locations is a strong indicator of a session hijacking attempt.
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nomit vyas@xoxo
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Detections.ai Community
8 months ago
1076
Detects Okta MFA device enrollment or life cycle changes that occur shortly after a successful authentication or password reset for the same user. This pattern is a strong indicator of a post-vishing account takeover, as seen in ShinyHunters campaigns.
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Tim Peck@timpeck
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SecOps Signals
9 months ago
191353
This detects events in Okta where there is the eventType of "user.session.impersonation.grant".
This grants access in the context of the user. This could be high privilege admin access.
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Danny Y@zendannyy
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Detections.ai Community
10 months ago
60141
Detects events in Okta where there is the eventType of ~'policy.lifecycle' and the policy of 'OktaSignOn'.
This will capture when new signon policies are created or updated. This could allow users to authenticate to Okta where the current policy does not apply. (i.e: enforcing MFA)
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Danny Y@zendannyy
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Detections.ai Community
10 months ago
1067
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