Detection rules › Splunk
Crowdstrike High Identity Risk Severity
The following analytic detects CrowdStrike alerts for High Identity Risk Severity with a risk score of 70 or higher. These alerts indicate significant vulnerabilities in user identities, such as suspicious behavior or compromised credentials. Promptly investigating and addressing these alerts is crucial to prevent potential security breaches and ensure the integrity and protection of sensitive information and systems.
MITRE ATT&CK coverage
| Tactic | Techniques |
|---|---|
| Credential Access | T1110 Brute Force |
Rule body splunk
name: Crowdstrike High Identity Risk Severity
id: 0df524ad-6d78-4883-9987-d29418928103
version: 9
creation_date: '2024-07-31'
modification_date: '2026-05-13'
author: Teoderick Contreras, Splunk
status: production
type: TTP
description: The following analytic detects CrowdStrike alerts for High Identity Risk Severity with a risk score of 70 or higher. These alerts indicate significant vulnerabilities in user identities, such as suspicious behavior or compromised credentials. Promptly investigating and addressing these alerts is crucial to prevent potential security breaches and ensure the integrity and protection of sensitive information and systems.
data_source: []
search: |-
`crowdstrike_identities` riskScoreSeverity="HIGH" OR riskScore >= 0.70
| rename riskFactors{}.severity as severity, riskFactors{}.type as risk_type, roles{}.type as role_type, accounts{}.domain as domain, accounts{}.dn as dn, accounts{}.samAccountName as user
| stats count min(_time) as firstTime max(_time) as lastTime
BY domain dn primaryDisplayName
risk_type severity riskScore
riskScoreSeverity user role_type
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `crowdstrike_high_identity_risk_severity_filter`
how_to_implement: To implement crowdstrike:identities logs, use the Falcon Streaming API. Set up an API client, authenticate with your CrowdStrike credentials, and subscribe to the "crowdstrike:identities" event stream. Process and store the logs as needed, integrating them into your logging or SIEM system for monitoring and analysis.
known_false_positives: No false positives have been identified at this time.
references:
- https://www.crowdstrike.com/wp-content/uploads/2022/12/CrowdStrike-Falcon-Event-Streams-Add-on-Guide-v3.pdf
drilldown_searches:
- name: View the detection results for - "$user$"
search: '%original_detection_search% | search user = "$user$"'
earliest_offset: $info_min_time$
latest_offset: $info_max_time$
- name: View risk events for the last 7 days for - "$user$"
search: '| from datamodel Risk.All_Risk | search normalized_risk_object IN ("$user$") | stats count min(_time) as firstTime max(_time) as lastTime values(search_name) as "Search Name" values(risk_message) as "Risk Message" values(analyticstories) as "Analytic Stories" values(annotations._all) as "Annotations" values(annotations.mitre_attack.mitre_tactic) as "ATT&CK Tactics" by normalized_risk_object | `security_content_ctime(firstTime)` | `security_content_ctime(lastTime)`'
earliest_offset: 7d
latest_offset: "0"
finding:
title: High Identity Risk Score Severity found on $domain$
entity:
field: user
type: user
score: 50
analytic_story:
- Compromised Windows Host
asset_type: Endpoint
mitre_attack_id:
- T1110
product:
- Splunk Enterprise
- Splunk Enterprise Security
- Splunk Cloud
category: endpoint
security_domain: endpoint
tests:
- name: True Positive Test
attack_data:
- data: https://media.githubusercontent.com/media/splunk/attack_data/master/datasets/suspicious_behaviour/crowdstrike_stream/high_risk_score/crowdstrike_high_riskscore_cleaned.log
sourcetype: crowdstrike:identities
source: crowdstrike:identities
test_type: unit
Stages and Predicates
Stage 1: search
`crowdstrike_identities` riskScoreSeverity="HIGH" OR riskScore >= 0.70
Stage 2: rename
| rename riskFactors{}.severity as severity, riskFactors{}.type as risk_type, roles{}.type as role_type, accounts{}.domain as domain, accounts{}.dn as dn, accounts{}.samAccountName as user
Stage 3: stats
| stats count min(_time) as firstTime max(_time) as lastTime
BY domain dn primaryDisplayName
risk_type severity riskScore
riskScoreSeverity user role_type
Stage 4: search
| `security_content_ctime(firstTime)`
Stage 5: search
| `security_content_ctime(lastTime)`
Stage 6: search
| `crowdstrike_high_identity_risk_severity_filter`
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 |
|---|---|---|
riskScore | ge |
|
riskScoreSeverity | eq |
|
sourcetype | eq |
|