Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769) targeting service accounts with SPNs, which attackers request offline to crack service account passwords.
Installs into .claude/skills of the current project.
Are you the author of Red Detecting Kerberoasting Attacks?
Add the live security badge to your README. It updates with every re-scan.
[](https://www.skillsdirectory.com/skills/bitbytelabio-red-detecting-kerberoasting-attacks)
---
name: red-detecting-kerberoasting-attacks
description: Detect Kerberoasting attacks by monitoring for anomalous Kerberos TGS requests (Event ID 4769) targeting service accounts with SPNs, which attackers request offline to crack service account passwords.
domain: red
category: active-directory
hide: true
license: Apache-2.0
metadata:
manifest_entry: src/corpus/red-detecting-kerberoasting-attacks/SKILL.md
---
# 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
1. **Formulate Hypothesis**: Define a testable hypothesis based on threat intelligence or ATT&CK gap analysis.
2. **Identify Data Sources**: Determine which logs and telemetry are needed to validate or refute the hypothesis.
3. **Execute Queries**: Run detection queries against SIEM and EDR platforms to collect relevant events.
4. **Analyze Results**: Examine query results for anomalies, correlating across multiple data sources.
5. **Validate Findings**: Distinguish true positives from false positives through contextual analysis.
6. **Correlate Activity**: Link findings to broader attack chains and threat actor TTPs.
7. **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
1. **Scenario 1**: Rubeus kerberoast targeting all SPN accounts
2. **Scenario 2**: GetUserSPNs.py from Impacket requesting RC4 tickets
3. **Scenario 3**: Targeted kerberoast against high-privilege service accounts
4. **Scenario 4**: AS-REP roasting accounts without pre-authentication
## Output Format
```
Hunt ID: TH-DETECT-[DATE]-[SEQ]
Technique: T1558.003
Host: [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]
```
## Shipped Playbook Resources
- `skill://red-detecting-kerberoasting-attacks/references/api-reference.md` — API and execution command reference
- `skill://red-detecting-kerberoasting-attacks/references/standards.md` — Relevant standards and compliance baselines
- `skill://red-detecting-kerberoasting-attacks/references/workflows.md` — Operational procedures and detailed workflows
- `skill://red-detecting-kerberoasting-attacks/assets/template.md` — Assessment deliverable and reporting template