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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.

  • Type: Anomaly

  • Product: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud

  • Last Updated: 2024-07-15
  • Author: Teoderick Contreras, Splunk
  • ID: b49b6ef4-57cd-4d42-bd7e-64e00f11cc87

Annotations

ATT&CK

ATT&CK

ID Technique Tactic
T1110 Brute Force Credential Access
Kill Chain Phase
  • Exploitation
NIST
  • DE.AE
CIS20
  • CIS 10
CVE 


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`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`

Macros

The SPL above uses the following Macros:

:information_source: crowdstrike_user_weak_password_policy_filter is a empty macro by default. It allows the user to filter out any results (false positives) without editing the SPL.

Required fields

List of fields required to use this analytic.

  • _time
  • riskFactors{}.severity
  • riskFactors{}.type
  • roles{}.type
  • accounts{}.domain
  • accounts{}.dn
  • accounts{}.samAccountName

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

Associated Analytic Story

RBA

Risk Score Impact Confidence Message
49.0 70 70 User Weak Password found on $domain$

:information_source: The Risk Score is calculated by the following formula: Risk Score = (Impact * Confidence/100). Initial Confidence and Impact is set by the analytic author.

Reference

Test Dataset

Replay any dataset to Splunk Enterprise by using our replay.py tool or the UI. Alternatively you can replay a dataset into a Splunk Attack Range

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