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Anthropic-Cybersecurity-Skills/skills/implementing-cloud-workload-protection/scripts/agent.py
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mukul975 27c6414ca5 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
2026-03-10 21:02:12 +01:00

187 lines
6.8 KiB
Python

#!/usr/bin/env python3
"""Agent for cloud workload protection on AWS EC2 instances."""
import os
import json
import time
import argparse
from datetime import datetime
import boto3
from botocore.exceptions import ClientError
def get_running_instances(session, filters=None):
"""List all running EC2 instances."""
ec2 = session.client("ec2")
params = {"Filters": [{"Name": "instance-state-name", "Values": ["running"]}]}
if filters:
params["Filters"].extend(filters)
instances = []
paginator = ec2.get_paginator("describe_instances")
for page in paginator.paginate(**params):
for res in page["Reservations"]:
for inst in res["Instances"]:
instances.append({
"instance_id": inst["InstanceId"],
"type": inst["InstanceType"],
"ip": inst.get("PrivateIpAddress", ""),
"launch_time": str(inst["LaunchTime"]),
})
return instances
def run_ssm_command(session, instance_ids, commands):
"""Execute commands on instances via SSM Run Command."""
ssm = session.client("ssm")
resp = ssm.send_command(
InstanceIds=instance_ids,
DocumentName="AWS-RunShellScript",
Parameters={"commands": commands},
TimeoutSeconds=60,
)
command_id = resp["Command"]["CommandId"]
time.sleep(5)
results = {}
for iid in instance_ids:
try:
output = ssm.get_command_invocation(CommandId=command_id, InstanceId=iid)
results[iid] = {
"status": output["Status"],
"stdout": output.get("StandardOutputContent", ""),
"stderr": output.get("StandardErrorContent", ""),
}
except ClientError as e:
results[iid] = {"status": "Error", "error": str(e)}
return results
def scan_for_cryptominers(session, instance_ids):
"""Detect cryptomining processes on instances."""
commands = [
"ps aux | grep -iE 'xmrig|minerd|cryptonight|stratum|nicehash' | grep -v grep",
"find /tmp /var/tmp /dev/shm -name '*.sh' -o -name 'config.json' 2>/dev/null | head -20",
]
results = run_ssm_command(session, instance_ids, commands)
findings = []
for iid, result in results.items():
if result.get("stdout", "").strip():
findings.append({
"instance_id": iid,
"type": "cryptominer",
"severity": "CRITICAL",
"output": result["stdout"].strip(),
})
return findings
def scan_for_reverse_shells(session, instance_ids):
"""Detect potential reverse shell connections."""
commands = [
"ss -tlnp 2>/dev/null | grep ESTAB | grep -vE ':443|:80|:22|:8089'",
"ls -la /dev/tcp 2>/dev/null; ls -la /proc/*/fd 2>/dev/null | grep socket | head -20",
]
results = run_ssm_command(session, instance_ids, commands)
findings = []
for iid, result in results.items():
if result.get("stdout", "").strip():
findings.append({
"instance_id": iid,
"type": "suspicious_connections",
"severity": "HIGH",
"output": result["stdout"].strip(),
})
return findings
def check_file_integrity(session, instance_ids):
"""Check integrity of critical system files."""
commands = [
"rpm -Va 2>/dev/null | grep -E '^..5' | head -20 || "
"debsums -c 2>/dev/null | head -20",
"find /usr/bin /usr/sbin -newer /var/log/lastlog -type f 2>/dev/null | head -20",
]
results = run_ssm_command(session, instance_ids, commands)
findings = []
for iid, result in results.items():
if result.get("stdout", "").strip():
findings.append({
"instance_id": iid,
"type": "file_integrity",
"severity": "MEDIUM",
"modified_files": result["stdout"].strip().splitlines(),
})
return findings
def check_cpu_anomaly(session, instance_ids):
"""Detect CPU usage anomalies via CloudWatch."""
cw = session.client("cloudwatch")
anomalies = []
for iid in instance_ids:
resp = cw.get_metric_statistics(
Namespace="AWS/EC2",
MetricName="CPUUtilization",
Dimensions=[{"Name": "InstanceId", "Value": iid}],
StartTime=datetime.utcnow().replace(hour=0, minute=0),
EndTime=datetime.utcnow(),
Period=300,
Statistics=["Average"],
)
for dp in resp.get("Datapoints", []):
if dp["Average"] > 90:
anomalies.append({
"instance_id": iid,
"cpu_avg": round(dp["Average"], 1),
"timestamp": str(dp["Timestamp"]),
"severity": "HIGH",
})
return anomalies
def main():
parser = argparse.ArgumentParser(description="Cloud Workload Protection Agent")
parser.add_argument("--profile", default=os.getenv("AWS_PROFILE"))
parser.add_argument("--region", default=os.getenv("AWS_DEFAULT_REGION", "us-east-1"))
parser.add_argument("--output", default="cwp_report.json")
parser.add_argument("--action", choices=[
"list", "cryptominer", "reverse_shell", "integrity", "cpu", "full_scan"
], default="full_scan")
args = parser.parse_args()
session = boto3.Session(profile_name=args.profile, region_name=args.region)
report = {"generated_at": datetime.utcnow().isoformat(), "findings": {}}
instances = get_running_instances(session)
instance_ids = [i["instance_id"] for i in instances]
report["instances"] = instances
print(f"[+] Running instances: {len(instances)}")
if args.action in ("cryptominer", "full_scan") and instance_ids:
findings = scan_for_cryptominers(session, instance_ids)
report["findings"]["cryptominers"] = findings
print(f"[+] Cryptominer detections: {len(findings)}")
if args.action in ("reverse_shell", "full_scan") and instance_ids:
findings = scan_for_reverse_shells(session, instance_ids)
report["findings"]["reverse_shells"] = findings
print(f"[+] Suspicious connections: {len(findings)}")
if args.action in ("integrity", "full_scan") and instance_ids:
findings = check_file_integrity(session, instance_ids)
report["findings"]["file_integrity"] = findings
print(f"[+] File integrity issues: {len(findings)}")
if args.action in ("cpu", "full_scan") and instance_ids:
anomalies = check_cpu_anomaly(session, instance_ids)
report["findings"]["cpu_anomalies"] = anomalies
print(f"[+] CPU anomalies: {len(anomalies)}")
with open(args.output, "w") as f:
json.dump(report, f, indent=2, default=str)
print(f"[+] Report saved to {args.output}")
if __name__ == "__main__":
main()