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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
1.4 KiB
1.4 KiB
API Reference: Implementing Security Chaos Engineering
Experiment Pattern
def run_experiment(setup_fn, verify_fn, rollback_fn, timeout=300):
try:
setup_fn() # Introduce failure
result = verify_fn(timeout) # Check detection
finally:
rollback_fn() # Always restore
return result
AWS boto3 (Chaos Actions)
import boto3
# Open security group
ec2 = boto3.client("ec2")
ec2.authorize_security_group_ingress(GroupId="sg-xxx",
IpProtocol="tcp", FromPort=22, ToPort=22, CidrIp="0.0.0.0/0")
# Rollback
ec2.revoke_security_group_ingress(...)
# Stop CloudTrail
ct = boto3.client("cloudtrail")
ct.stop_logging(Name="main-trail")
ct.start_logging(Name="main-trail") # rollback
# Check Config compliance
config = boto3.client("config")
config.get_compliance_details_by_config_rule(
ConfigRuleName="restricted-ssh",
ComplianceTypes=["NON_COMPLIANT"])
Experiment Catalog
| Experiment | Detection Target | SLA |
|---|---|---|
| Open SG 0.0.0.0/0 | AWS Config Rule | < 5 min |
| Create admin user | GuardDuty | < 15 min |
| Stop CloudTrail | CloudWatch alarm | < 5 min |
| Public S3 bucket | Config / Macie | < 10 min |
References
- AWS Config Rules: https://docs.aws.amazon.com/config/latest/developerguide/
- GuardDuty: https://docs.aws.amazon.com/guardduty/
- Security Chaos Engineering book: https://www.oreilly.com/library/view/security-chaos-engineering/