Detection rules › Panther

Okta Investigate MFA and Password resets

This is a threat-hunting query, not an automated detection. It surfaces activity for an analyst to review rather than firing on a match. It is searchable for reference but is excluded from the detection-rule browse and the ATT&CK coverage matrix.

Source: github.com/panther-labs/panther-analysis

Investigate Password and MFA resets for the last 7 days

Rules detecting the same action

Other rules on this platform that filter on the same API call or operation.

Attempt to Reset MFA Factors for an Okta User Account (Elastic)
High-Risk Admin Activity (Kusto)
MFA Deactivation with no Re-Activation for Okta User Account (Elastic)
New Device/Location sign-in along with critical operation (Kusto)
Okta MFA Reset or Deactivated (Sigma)
Okta Support Reset Credential (Panther)
Okta User Password and MFA Factor Reset or Deactivated (YARA-L)
Stolen Credentials Used to Login to Okta Account After MFA Reset (Elastic)

Rule body yaml

AnalysisType: scheduled_query
QueryName: "Okta Investigate MFA and Password resets"
Enabled: false
Description: >
  Investigate Password and MFA resets for the last 7 days
Query: |
  SELECT p_event_time,actor:alternateId as actor_user,target[0]:alternateId as target_user, eventType,client:ipAddress as ip_address
  FROM panther_logs.public.okta_systemlog
  WHERE eventType IN ('user.mfa.factor.reset_all', 'user.mfa.factor.deactivate', 'user.mfa.factor.suspend', 'user.account.reset_password', 'user.account.update_password','user.mfa.factor.update')
  and p_occurs_since('7 days')
  -- If you wish to investigate an individual user , uncomment this line and add their email here
  -- and actor:alternateId = '<EMAIL_GOES_HERE>'
  ORDER by p_event_time DESC
Schedule:
  RateMinutes: 43200
  TimeoutMinutes: 1

Detection logic

Stage 1: `source`

panther_logs.public.okta_systemlog

Stage 2: `filter`

eventType in ["user.mfa.factor.reset_all", "user.mfa.factor.deactivate", "user.mfa.factor.suspend", "user.account.reset_password", "user.account.update_password", "user.mfa.factor.update"]

Indicators

Each row is a field, operator, and value that the rule matches. The corpus column counts how many other rules in the catalog look for the same combination: high numbers point to widely-used, community-vetted indicators. Blank or 1 shows that the indicator is specific to this rule.

Field	Kind	Values
`eventType`	in	`user.account.reset_password` `user.account.update_password` `user.mfa.factor.deactivate` `user.mfa.factor.reset_all` `user.mfa.factor.suspend` `user.mfa.factor.update`

Output fields

Fields the rule emits when it matches. Chronicle authors list these in the outcome block; they appear on the detection and $risk_score drives alerting. Sentinel / Defender XDR rules build them up through project / summarize / extend stages. Sentinel maps these into alert fields via entityMappings and customDetails; Defender XDR custom detections surface them as alert fields directly.

Field	Source
`p_event_time`
`actor_user`	`actor:alternateId`
`target_user`	`target [ 0 ] : alternateId`
`eventType`
`ip_address`	`client:ipAddress`

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`type:`	`events` / `rules` / `providers`
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`-op:val`	Exclude matches; works on most operators but not `type:`/`like:`/`has:`/`no:` (use `no:<flag>` to exclude a rule flag): `tactic:execution -vendor:splunk`. Standalone `-kind:`/`-field:`/`-value:` drop every rule carrying a matching predicate leaf (`type:rules -kind:is_null`)
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`"quoted phrase"`	Exact-match a multi-word phrase (free text)

Okta Investigate MFA and Password resets

Rules detecting the same action

Rule body yaml

Detection logic

Stage 1: `source`

Stage 2: `filter`

Indicators

Output fields

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Okta Investigate MFA and Password resets

Rules detecting the same action

Rule body yaml

Detection logic

Stage 1: source

Stage 2: filter

Indicators

Output fields

Stage 1: `source`

Stage 2: `filter`