Add folder anatomy (scripts/agent.py + references/api-reference.md) for 648 cybersecurity skills

Complete skill folder anatomy across all cybersecurity skills:
- scripts/agent.py: 80-150 line Python agents using real libraries (impacket,
  boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.)
- references/api-reference.md: real API documentation with method signatures
- LICENSE: MIT license for all skill folders
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MIT License
Copyright (c) 2025 Anthropic Agent Skills Contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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# API Reference: Detecting Kerberoasting Attacks
## python-evtx Library
```python
from Evtx.Evtx import FileHeader
with open("Security.evtx", "rb") as f:
fh = FileHeader(f)
for record in fh.records():
xml_string = record.xml()
```
## Event ID 4769 - Kerberos TGS Request
```xml
<EventData>
<Data Name="TargetUserName">svc_sql</Data>
<Data Name="ServiceName">MSSQLSvc/db01.corp.local:1433</Data>
<Data Name="TicketEncryptionType">0x17</Data>
<Data Name="TicketOptions">0x40810000</Data>
<Data Name="IpAddress">::ffff:10.0.0.50</Data>
<Data Name="Status">0x0</Data>
</EventData>
```
## Encryption Type Values
| Hex | Type | Risk |
|-----|------|------|
| 0x17 | RC4-HMAC | Kerberoasting indicator |
| 0x18 | RC4-HMAC-EXP | Kerberoasting indicator |
| 0x11 | AES128-CTS-HMAC-SHA1 | Normal |
| 0x12 | AES256-CTS-HMAC-SHA1 | Normal |
## Detection Logic
1. Filter Event 4769 where TicketEncryptionType = 0x17 (RC4)
2. Exclude machine accounts (ServiceName ending in `$`)
3. Exclude krbtgt service
4. Alert on high-volume TGS from single source (>10 unique SPNs in 5 min)
5. Correlate with Event 4624 for source attribution
## Event ID 4624 - Logon Event (Correlation)
```xml
<Data Name="TargetUserName">attacker_user</Data>
<Data Name="LogonType">3</Data>
<Data Name="IpAddress">10.0.0.50</Data>
<Data Name="WorkstationName">WORKSTATION1</Data>
```
## MITRE ATT&CK Mapping
- T1558.003 - Kerberoasting
- T1558 - Steal or Forge Kerberos Tickets
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#!/usr/bin/env python3
"""Kerberoasting Detection Agent - Detects Kerberoasting via Event 4769 TGS-REQ analysis."""
import json
import logging
import argparse
from collections import defaultdict
from datetime import datetime
from Evtx.Evtx import FileHeader
from lxml import etree
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger(__name__)
NS = {"evt": "http://schemas.microsoft.com/win/2004/08/events/event"}
WEAK_ENCRYPTION_TYPES = {"0x17": "RC4-HMAC", "0x18": "RC4-HMAC-EXP"}
STRONG_ENCRYPTION_TYPES = {"0x11": "AES128", "0x12": "AES256"}
def parse_tgs_events(evtx_path):
"""Parse Event ID 4769 (Kerberos TGS requests) from Security EVTX."""
tgs_events = []
with open(evtx_path, "rb") as f:
fh = FileHeader(f)
for record in fh.records():
try:
xml = record.xml()
root = etree.fromstring(xml.encode("utf-8"))
event_id_elem = root.find(".//evt:System/evt:EventID", NS)
if event_id_elem is None or event_id_elem.text != "4769":
continue
data = {}
for elem in root.findall(".//evt:EventData/evt:Data", NS):
data[elem.get("Name", "")] = elem.text or ""
time_elem = root.find(".//evt:System/evt:TimeCreated", NS)
timestamp = time_elem.get("SystemTime", "") if time_elem is not None else ""
tgs_events.append({
"timestamp": timestamp,
"target_name": data.get("TargetUserName", ""),
"service_name": data.get("ServiceName", ""),
"client_address": data.get("IpAddress", ""),
"ticket_encryption": data.get("TicketEncryptionType", ""),
"ticket_options": data.get("TicketOptions", ""),
"status": data.get("Status", ""),
"logon_guid": data.get("LogonGuid", ""),
})
except Exception:
continue
logger.info("Parsed %d TGS-REQ events from %s", len(tgs_events), evtx_path)
return tgs_events
def detect_rc4_tgs_requests(tgs_events):
"""Detect TGS requests using weak RC4-HMAC encryption (Kerberoasting indicator)."""
rc4_requests = []
for event in tgs_events:
enc_type = event["ticket_encryption"]
if enc_type in WEAK_ENCRYPTION_TYPES:
service = event["service_name"]
if service and not service.endswith("$") and "krbtgt" not in service.lower():
event["encryption_name"] = WEAK_ENCRYPTION_TYPES[enc_type]
event["indicator"] = "RC4 TGS for service account (non-machine)"
rc4_requests.append(event)
logger.info("Found %d RC4 TGS requests for service accounts", len(rc4_requests))
return rc4_requests
def detect_high_volume_tgs(tgs_events, threshold=10, window_minutes=5):
"""Detect high-volume TGS requests from a single source (spray pattern)."""
source_buckets = defaultdict(list)
for event in tgs_events:
source_buckets[event["client_address"]].append(event)
alerts = []
for source, events in source_buckets.items():
events.sort(key=lambda e: e["timestamp"])
unique_services = set()
for event in events:
unique_services.add(event["service_name"])
if len(unique_services) >= threshold:
alerts.append({
"source_ip": source,
"unique_services_requested": len(unique_services),
"total_requests": len(events),
"services": list(unique_services)[:20],
"first_seen": events[0]["timestamp"],
"last_seen": events[-1]["timestamp"],
"indicator": "High-volume TGS spray (Kerberoasting)",
})
logger.info("Found %d high-volume TGS sources", len(alerts))
return alerts
def detect_anomalous_spn_requests(tgs_events, known_spns=None):
"""Detect TGS requests for unusual or sensitive SPNs."""
sensitive_spns = {"MSSQLSvc", "HTTP", "MSSQL", "exchangeAB", "CIFS", "HOST"}
anomalous = []
for event in tgs_events:
service = event["service_name"]
service_class = service.split("/")[0] if "/" in service else service
if service_class in sensitive_spns:
enc = event["ticket_encryption"]
if enc in WEAK_ENCRYPTION_TYPES:
event["spn_class"] = service_class
event["risk"] = "Sensitive SPN with RC4 encryption"
anomalous.append(event)
logger.info("Found %d anomalous SPN requests", len(anomalous))
return anomalous
def correlate_with_logon_events(evtx_path, suspicious_sources):
"""Correlate suspicious TGS sources with logon events (4624) for attribution."""
source_ips = {s["source_ip"] for s in suspicious_sources}
logon_map = {}
with open(evtx_path, "rb") as f:
fh = FileHeader(f)
for record in fh.records():
try:
xml = record.xml()
root = etree.fromstring(xml.encode("utf-8"))
event_id_elem = root.find(".//evt:System/evt:EventID", NS)
if event_id_elem is None or event_id_elem.text != "4624":
continue
data = {}
for elem in root.findall(".//evt:EventData/evt:Data", NS):
data[elem.get("Name", "")] = elem.text or ""
source_ip = data.get("IpAddress", "")
if source_ip in source_ips:
logon_map[source_ip] = {
"account": data.get("TargetUserName", ""),
"domain": data.get("TargetDomainName", ""),
"logon_type": data.get("LogonType", ""),
"workstation": data.get("WorkstationName", ""),
}
except Exception:
continue
return logon_map
def generate_report(tgs_events, rc4_findings, spray_findings, spn_findings, logon_correlation):
"""Generate Kerberoasting detection report."""
report = {
"timestamp": datetime.utcnow().isoformat(),
"total_tgs_events": len(tgs_events),
"rc4_service_requests": len(rc4_findings),
"tgs_spray_sources": len(spray_findings),
"anomalous_spn_requests": len(spn_findings),
"rc4_details": rc4_findings[:20],
"spray_details": spray_findings,
"spn_details": spn_findings[:20],
"attacker_attribution": logon_correlation,
}
total_findings = len(rc4_findings) + len(spray_findings) + len(spn_findings)
print(f"KERBEROASTING DETECTION: {total_findings} indicators found")
return report
def main():
parser = argparse.ArgumentParser(description="Kerberoasting Detection Agent")
parser.add_argument("--evtx-file", required=True, help="Path to Security EVTX file")
parser.add_argument("--spray-threshold", type=int, default=10)
parser.add_argument("--output", default="kerberoast_report.json")
args = parser.parse_args()
tgs_events = parse_tgs_events(args.evtx_file)
rc4_findings = detect_rc4_tgs_requests(tgs_events)
spray_findings = detect_high_volume_tgs(tgs_events, args.spray_threshold)
spn_findings = detect_anomalous_spn_requests(tgs_events)
logon_map = correlate_with_logon_events(args.evtx_file, spray_findings)
report = generate_report(tgs_events, rc4_findings, spray_findings, spn_findings, logon_map)
with open(args.output, "w") as f:
json.dump(report, f, indent=2)
logger.info("Report saved to %s", args.output)
if __name__ == "__main__":
main()