Detection rules › YARA-L
YARA-L rules: 1z
| Rule | Severity |
|---|---|
| GitHub Dependabot Vulnerability Alerts Disabled | high |
| Okta Successful High Risk User Logins | medium |
GitHub Dependabot Vulnerability Alerts Disabled
#Detects when vulnerability alerts are disabled for GitHub Dependabot.
MITRE ATT&CK Coverage
| Tactic | Techniques |
|---|---|
| Defense Impairment |
References
Telemetry Coverage
Rules Detecting the Same Action
These rules filter on the same operation.
Rule Body
// Copyright 2024 Google LLC. Licensed under Apache-2.0.
rule github_dependabot_vulnerability_alerts_disabled {
meta:
author = "Google Cloud Security"
description = "Detects when vulnerability alerts are disabled for GitHub Dependabot."
rule_id = "mr_fe479d25-26d1-4eef-b22d-fd1a0e9fdd86"
rule_name = "GitHub Dependabot Vulnerability Alerts Disabled"
assumption = "Your GitHub enterprise audit log settings are configured to log the source IP address for events. Reference: https://docs.github.com/en/organizations/keeping-your-organization-secure/managing-security-settings-for-your-organization/displaying-ip-addresses-in-the-audit-log-for-your-organization"
type = "alert"
severity = "High"
priority = "High"
platform = "GitHub"
data_source = "github"
mitre_attack_tactic = "Defense Evasion"
mitre_attack_technique = "Impair Defenses: Disable or Modify Tools"
mitre_attack_url = "https://attack.mitre.org/versions/v14/techniques/T1562/001/"
mitre_attack_version = "v14"
reference = "https://docs.github.com/en/enterprise-cloud@latest/admin/monitoring-activity-in-your-enterprise/reviewing-audit-logs-for-your-enterprise/audit-log-events-for-your-enterprise"
events:
$github.metadata.vendor_name = "GITHUB" nocase
$github.metadata.product_name = "GITHUB"
(
$github.metadata.product_event_type = "repository_vulnerability_alerts.disable" or
$github.metadata.product_event_type = "business_dependabot_alerts.disable" or
$github.metadata.product_event_type = "business_dependabot_alerts_new_repos.disable" or
$github.metadata.product_event_type = "dependabot_alerts.disable" or
$github.metadata.product_event_type = "dependabot_alerts_new_repos.disable" or
$github.metadata.product_event_type = "dependabot_security_updates.disable" or
$github.metadata.product_event_type = "dependabot_security_updates_new_repos.disable"
)
$github.principal.user.userid = $user_id
match:
$user_id over 30m
outcome:
$risk_score = max(85)
$mitre_attack_tactic = "Defense Evasion"
$mitre_attack_technique = "Impair Defenses: Disable or Modify Tools"
$mitre_attack_technique_id = "T1562.001"
$event_count = count_distinct($github.metadata.id)
$principal_ip = array_distinct($github.principal.ip)
$principal_user_userid = array_distinct($github.principal.user.userid)
$principal_ip_country = array_distinct($github.principal.ip_geo_artifact.location.country_or_region)
$principal_ip_state = array_distinct($github.principal.ip_geo_artifact.location.state)
$principal_ip_city = array_distinct($github.principal.location.city)
$security_result_summary = array_distinct($github.security_result.summary)
condition:
$github
}
YARA-L Rule Structure
Condition
Fires when at least one $github event in the 30m window.
Events
$github
metadata.product_event_typeis one of:repository_vulnerability_alerts.disablebusiness_dependabot_alerts.disablebusiness_dependabot_alerts_new_repos.disabledependabot_alerts.disabledependabot_alerts_new_repos.disabledependabot_security_updates.disabledependabot_security_updates_new_repos.disable
Match and Correlation
Outcome
Outcome variables add context to a detection. When the rule generates an alert, $risk_score is displayed with it.
| Field | Expression |
|---|---|
risk_score | max(85) |
event_count | count_distinct($github.metadata.id) |
principal_ip | array_distinct($github.principal.ip) |
principal_user_userid | array_distinct($github.principal.user.userid) |
principal_ip_country | array_distinct($github.principal.ip_geo_artifact.location.country_or_region) |
principal_ip_state | array_distinct($github.principal.ip_geo_artifact.location.state) |
principal_ip_city | array_distinct($github.principal.location.city) |
security_result_summary | array_distinct($github.security_result.summary) |
Okta Successful High Risk User Logins
#Detects successfully authenticated user logins based on Okta's Behavior Detection pattern analysis.
Known False Positives
- This rule causes False Positives if the user is a net new user.
MITRE ATT&CK Coverage
| Tactic | Techniques |
|---|---|
| Initial Access | |
| Persistence | |
| Privilege Escalation | |
| Stealth |
References
Telemetry Coverage
| Platform | Record / event type |
|---|---|
| Okta | System Log event type user.session.start: User logged in to Okta |
Rules Detecting the Same Action
These rules filter on the same operation.
- Failed Logins from Unknown or Invalid User (Kusto)
- First Occurrence of Okta User Session Started via Proxy (Elastic)
- High-Risk Admin Activity (Kusto)
- Multiple Okta Sessions Detected for a Single User (Elastic)
- Multiple Okta User Authentication Events with Same Device Token Hash (Elastic)
- New Device/Location sign-in along with critical operation (Kusto)
- Okta AiTM Session Cookie Replay (Elastic)
- Okta Login From CrowdStrike Unmanaged Device (Panther)
Rule Body
// Copyright 2023 Google LLC. Licensed under Apache-2.0.
rule okta_successful_high_risk_user_logins {
meta:
author = "Google Cloud Security"
description = "Detects successfully authenticated user logins based on Okta's Behavior Detection pattern analysis."
rule_id = "mr_ef123f09-f2ae-4d29-bb69-896d708f6a27"
rule_name = "Okta Successful High Risk User Logins"
reference = "https://help.okta.com/en-us/Content/Topics/Security/behavior-detection/logs-behavior-detection.htm"
mitre_attack_tactic = "Defense Evasion, Persistence, Privilege Escalation, Initial Access"
mitre_attack_technique = "Valid Accounts"
mitre_attack_url = "https://attack.mitre.org/techniques/T1078/"
mitre_attack_version = "v13.1"
type = "Hunt"
false_positives = "This rule causes False Positives if the user is a net new user."
data_source = "Okta"
severity = "Medium"
priority = "Medium"
events:
$login.metadata.product_name = "Okta"
$login.metadata.vendor_name = "Okta"
$login.metadata.event_type = "USER_LOGIN"
$login.metadata.product_event_type = "user.session.start"
$login.security_result.summary = "User login to Okta"
$login.security_result.action = "ALLOW"
$login.principal.user.userid = $userid
// Detect only for existing users and not net new users
$first_seen.graph.metadata.entity_type = "USER"
$first_seen.graph.entity.user.first_seen_time.seconds < $login.metadata.event_timestamp.seconds
$first_seen.graph.entity.user.userid = $userid
match:
$userid over 5m
outcome:
$risk_score = max(
// Based on Okta's Behavior Detection pattern analysis
if($login.security_result.description = /New Geo-Location=POSITIVE/, 10) +
if($login.security_result.description = /New Device=POSITIVE/, 20) +
if($login.security_result.description = /New IP=POSITIVE/, 5) +
if($login.security_result.description = /New City=POSITIVE/, 5) +
if($login.security_result.description = /New State=POSITIVE/, 10) +
if($login.security_result.description = /New Country=POSITIVE/, 10) +
if($login.security_result.description = /Velocity=POSITIVE/, 10) +
// Unauthorized target geographies
if($login.principal.ip_geo_artifact.location.country_or_region = "Cuba", 20) +
if($login.principal.ip_geo_artifact.location.country_or_region = "Iran", 20) +
if($login.principal.ip_geo_artifact.location.country_or_region = "North Korea", 20) +
if($login.principal.ip_geo_artifact.location.country_or_region = "Russia", 20) +
if($login.principal.ip_geo_artifact.location.country_or_region = "Syria", 20)
)
$mitre_attack_tactic = "Defense Evasion, Persistence, Privilege Escalation, Initial Access"
$mitre_attack_technique = "Valid Accounts"
$target_user_agent = array_distinct($login.network.http.user_agent)
$principal_ip = array_distinct($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)
$security_result_summary = array_distinct($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)
$target_user_email_addresses = array_distinct($login.target.user.email_addresses)
$target_user_userid = array_distinct($login.target.user.userid)
$security_result_description = array_distinct($login.security_result.description)
condition:
$login and $first_seen and $risk_score >= 50
}
YARA-L Rule Structure
Condition
Fires when at least one $login event in the 5m window and $first_seen matches entity context and $risk_score ≥ 50.
Events
$first_seen
graph.metadata.entity_type = "USER"graph.entity.user.first_seen_time.seconds cross_field_compare "login.metadata.event_timestamp.seconds"
$login
metadata.product_event_type = "user.session.start"security_result.summary = "User login to Okta"security_result.action = "ALLOW"
Match and Correlation
Outcome
Outcome variables add context to a detection. When the rule generates an alert, $risk_score is displayed with it.
| Field | Expression |
|---|---|
risk_score | max( if($login.security_result.description = /New Geo-Location=POSITIVE/, 10) + if($login.security_result.description = /New Device=POSITIVE/, 20) + if($login.security_result.description = /New IP=POSITIVE/, 5) + if($login.security_result.description = /New City=POSITIVE/, 5) + if($login.security_result.description = /New State=POSITIVE/, 10) + if($login.security_result.description = /New Country=POSITIVE/, 10) + if($login.security_result.description = /Velocity=POSITIVE/, 10) + if($login.principal.ip_geo_artifact.location.country_or_region = "Cuba", 20) + if($login.principal.ip_geo_artifact.location.country_or_region = "Iran", 20) + if($login.principal.ip_geo_artifact.location.country_or_region = "North Korea", 20) + if($login.principal.ip_geo_artifact.location.country_or_region = "Russia", 20) + if($login.principal.ip_geo_artifact.location.country_or_region = "Syria", 20) ) |
target_user_agent | array_distinct($login.network.http.user_agent) |
principal_ip | array_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) |
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($login.principal.user.userid) |
target_user_email_addresses | array_distinct($login.target.user.email_addresses) |
target_user_userid | array_distinct($login.target.user.userid) |
security_result_description | array_distinct($login.security_result.description) |