Detection rules › YARA-L
Okta Suspicious Use Of A Session Cookie
Detects when an adversary attempts to reuse a stolen web session cookie in a different device that has a different OS, IP, Browser or User Agent.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Credential Access |
References
Telemetry coverage
| Platform | Record / event type |
|---|---|
| Okta | System Log event type policy.evaluate_sign_on: Sign-on policy evaluated |
Rules detecting the same action
These rules filter on the same operation.
- High-Risk Admin Activity (Kusto)
- Okta AiTM Session Cookie Replay (Elastic)
- Okta Multiple Failed Requests To Access Applications (YARA-L)
- Okta Multiple Failed Requests to Access Applications (Splunk)
- Okta New Admin Console Behaviours (Sigma)
- Okta New Behaviors Acessing Admin Console (Panther)
- Okta Suspicious Use of a Session Cookie (Splunk)
Rule body
// Copyright 2023 Google LLC. Licensed under Apache-2.0.
rule okta_suspicious_use_of_a_session_cookie {
meta:
author = "Google Cloud Security"
description = "Detects when an adversary attempts to reuse a stolen web session cookie in a different device that has a different OS, IP, Browser or User Agent."
rule_id = "mr_913cbc7a-86c9-46a4-b822-023b4aa17106"
rule_name = "Okta Suspicious Use Of A Session Cookie"
reference = "https://sec.okta.com/sessioncookietheft"
mitre_attack_tactic = "Credential Access"
mitre_attack_technique = "Steal Web Session Cookie"
mitre_attack_url = "https://attack.mitre.org/techniques/T1539/"
mitre_attack_version = "v13.1"
type = "Alert"
data_source = "Okta"
severity = "Medium"
priority = "Medium"
events:
$login.metadata.product_name = "Okta"
$login.metadata.vendor_name = "Okta"
$login.metadata.event_type = "USER_UNCATEGORIZED"
$login.metadata.product_event_type = "policy.evaluate_sign_on"
(
$login.security_result.action = "ALLOW" or
$login.security_result.action = "ALLOW_WITH_MODIFICATION" or
$login.security_result.action = "CHALLENGE"
)
$login.principal.user.userid = $userid
$login.security_result.detection_fields["dtHash"] = $dtHash
match:
$userid, $dtHash over 1h
outcome:
$risk_score = max(35)
$mitre_attack_tactic = "Credential Access"
$mitre_attack_technique = "Steal Web Session Cookie"
$target_os = array_distinct($login.network.http.parsed_user_agent.os)
$dc_target_os = count_distinct($login.network.http.parsed_user_agent.os)
$target_browser = array_distinct($login.network.http.parsed_user_agent.browser)
$dc_target_browser = count_distinct($login.network.http.parsed_user_agent.browser)
$target_user_agent = array_distinct($login.network.http.user_agent)
$principal_ip = array_distinct($login.principal.ip)
$dc_principal_ip = count_distinct($login.principal.ip)
$principal_ip_country = array_distinct($login.principal.ip_geo_artifact.location.country_or_region)
$principal_ip_state = array_distinct($login.principal.ip_geo_artifact.location.state)
$principal_ip_city = array_distinct($login.principal.location.city)
$dc_principal_ip_city = count_distinct($login.principal.location.city)
$security_result_summary = array_distinct($login.security_result.summary)
$principal_user_managers_email_addresses = array_distinct($login.principal.user.managers.email_addresses)
$principal_user_userid = array_distinct($login.principal.user.userid)
condition:
$login and $dc_principal_ip > 1 and ($dc_target_browser > 1 or $dc_target_os > 1)
}
YARA-L rule structure
Condition
Fires when at least one $login event in the 1h window and $dc_principal_ip > 1 and $dc_target_browser > 1 or $dc_target_os > 1.
Events
$login
metadata.product_event_type = "policy.evaluate_sign_on"security_result.actionis one of:ALLOWALLOW_WITH_MODIFICATIONCHALLENGE
Match and correlation
Outcome
Outcome variables add context to a detection. When the rule generates an alert, $risk_score is displayed with it.
| Field | Expression |
|---|---|
risk_score | max(35) |
target_os | array_distinct($login.network.http.parsed_user_agent.os) |
dc_target_os | count_distinct($login.network.http.parsed_user_agent.os) |
target_browser | array_distinct($login.network.http.parsed_user_agent.browser) |
dc_target_browser | count_distinct($login.network.http.parsed_user_agent.browser) |
target_user_agent | array_distinct($login.network.http.user_agent) |
principal_ip | array_distinct($login.principal.ip) |
dc_principal_ip | count_distinct($login.principal.ip) |
principal_ip_country | array_distinct($login.principal.ip_geo_artifact.location.country_or_region) |
principal_ip_state | array_distinct($login.principal.ip_geo_artifact.location.state) |
principal_ip_city | array_distinct($login.principal.location.city) |
dc_principal_ip_city | count_distinct($login.principal.location.city) |
security_result_summary | array_distinct($login.security_result.summary) |
principal_user_managers_email_addresses | array_distinct($login.principal.user.managers.email_addresses) |
principal_user_userid | array_distinct($login.principal.user.userid) |