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PublishedJune 8, 2026 at 03:30 PM
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name: detecting-kerberoasting-attacks description: Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests targeting service accounts with SPNs for offline password cracking. domain: cybersecurity subdomain: threat-hunting tags:
- threat-hunting
- mitre-attack
- kerberoasting
- credential-access
- kerberos
- t1558
- proactive-detection
version: '1.0' author: mahipal license: Apache-2.0 d3fend_techniques:
- Application Protocol Command Analysis
- Network Isolation
- Network Traffic Analysis
- Client-server Payload Profiling
- Network Traffic Community Deviation
nist_csf:
- DE.CM-01
- DE.AE-02
- DE.AE-07
- ID.RA-05
mitre_attack:
- T1046
- T1057
- T1082
- T1083
- T1003
Detecting Kerberoasting Attacks
When to Use
- When proactively hunting for indicators of detecting kerberoasting attacks in the environment
- After threat intelligence indicates active campaigns using these techniques
- During incident response to scope compromise related to these techniques
- When EDR or SIEM alerts trigger on related indicators
- During periodic security assessments and purple team exercises
Prerequisites
- EDR platform with process and network telemetry (CrowdStrike, MDE, SentinelOne)
- SIEM with relevant log data ingested (Splunk, Elastic, Sentinel)
- Sysmon deployed with comprehensive configuration
- Windows Security Event Log forwarding enabled
- Threat intelligence feeds for IOC correlation
Workflow
- Formulate Hypothesis: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
- Identify Data Sources: Determine which logs and telemetry are needed to validate or refute the hypothesis.
- Execute Queries: Run detection queries against SIEM and EDR platforms to collect relevant events.
- Analyze Results: Examine query results for anomalies, correlating across multiple data sources.
- Validate Findings: Distinguish true positives from false positives through contextual analysis.
- Correlate Activity: Link findings to broader attack chains and threat actor TTPs.
- Document and Report: Record findings, update detection rules, and recommend response actions.
Key Concepts
| Concept | Description | |
|---|---|---|
| T1558.003 | Kerberoasting | |
| T1558.004 | AS-REP Roasting | |
| T1558.001 | Golden Ticket |
Tools & Systems
| Tool | Purpose | |
|---|---|---|
| CrowdStrike Falcon | EDR telemetry and threat detection | |
| Microsoft Defender for Endpoint | Advanced hunting with KQL | |
| Splunk Enterprise | SIEM log analysis with SPL queries | |
| Elastic Security | Detection rules and investigation timeline | |
| Sysmon | Detailed Windows event monitoring | |
| Velociraptor | Endpoint artifact collection and hunting | |
| Sigma Rules | Cross-platform detection rule format |
Common Scenarios
- Scenario 1: Rubeus kerberoast targeting all SPN accounts
- Scenario 2: GetUserSPNs.py from Impacket requesting RC4 tickets
- Scenario 3: Targeted kerberoast against high-privilege service accounts
- Scenario 4: AS-REP roasting accounts without pre-authentication
Output Format
Hunt ID: TH-DETECT-[DATE]-[SEQ]Technique: T1558.003Host: [Hostname]User: [Account context]Evidence: [Log entries, process trees, network data]Risk Level: [Critical/High/Medium/Low]Confidence: [High/Medium/Low]Recommended Action: [Containment, investigation, monitoring]