Crowdstrike User Weak Password Policy

Original Source: [splunk source]
Name:Crowdstrike User Weak Password Policy
id:b49b6ef4-57cd-4d42-bd7e-64e00f11cc87
version:2
date:2024-09-30
author:Teoderick Contreras, Splunk
status:production
type:Anomaly
Description:The following analytic detects CrowdStrike alerts for weak password policy violations, identifying instances where passwords do not meet the required security standards. These alerts highlight potential vulnerabilities that could be exploited by attackers, emphasizing the need for stronger password practices. Addressing these alerts promptly helps to enhance overall security and protect sensitive information from unauthorized access.
Data_source:
search:`crowdstrike_identities` primaryDisplayName != "*admin*"
| 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
| where risk_type = "WEAK_PASSWORD_POLICY"
| `security_content_ctime(firstTime)`
| `security_content_ctime(lastTime)`
| `crowdstrike_user_weak_password_policy_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:unknown
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 ("$user$") starthoursago=168 | 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:'$info_min_time$'
latest_offset:'$info_max_time$'
tags:
  analytic_story:
    - 'Compromised Windows Host'
  asset_type:Endpoint
  confidence:70
  impact:70
  message:User Weak Password found on $domain$
  mitre_attack_id:
    - 'T1110'
  observable:
    name:'user'
    type:'User'
    - role:
      - 'Victim'
  product:
    - 'Splunk Enterprise'
    - 'Splunk Enterprise Security'
    - 'Splunk Cloud'
  required_fields:
    - '_time'
    - 'riskFactors{}.severity'
    - 'riskFactors{}.type'
    - 'roles{}.type'
    - 'accounts{}.domain'
    - 'accounts{}.dn'
    - 'accounts{}.samAccountName'
  risk_score:49
  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/non_adminweak_password_policy/crowdstrike_user_weak_password_cleaned.log
  sourcetype: crowdstrike:identities
  source: crowdstrike:identities
manual_test:None

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