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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
1.7 KiB
1.7 KiB
API Reference: Implementing Cloud Workload Protection
AWS SSM Run Command (boto3)
import boto3
ssm = boto3.client("ssm")
# Execute command on instances
resp = ssm.send_command(
InstanceIds=["i-abc123"],
DocumentName="AWS-RunShellScript",
Parameters={"commands": ["ps aux"]},
TimeoutSeconds=60,
)
command_id = resp["Command"]["CommandId"]
# Get output
output = ssm.get_command_invocation(
CommandId=command_id, InstanceId="i-abc123"
)
print(output["StandardOutputContent"])
CloudWatch CPU Monitoring
cw = boto3.client("cloudwatch")
resp = cw.get_metric_statistics(
Namespace="AWS/EC2", MetricName="CPUUtilization",
Dimensions=[{"Name": "InstanceId", "Value": "i-abc123"}],
StartTime=start, EndTime=end, Period=300,
Statistics=["Average"],
)
Key Detection Commands
| Threat | Command |
|---|---|
| Cryptominer | ps aux | grep -iE 'xmrig|minerd' |
| Reverse shell | ss -tlnp | grep ESTAB |
| File integrity | rpm -Va | grep '^..5' |
| Unauthorized binaries | find /tmp -executable -type f |
| Cron persistence | crontab -l; ls /etc/cron.d/ |
GuardDuty Integration
gd = boto3.client("guardduty")
findings = gd.list_findings(DetectorId="detector-id")
for fid in findings["FindingIds"]:
detail = gd.get_findings(DetectorId="detector-id", FindingIds=[fid])
print(detail["Findings"][0]["Type"])