Install this skill
npx skills add mukul975/Anthropic-Cybersecurity-SkillsFramework mappings
MITRE ATT&CK
When to Use
- When deploying or configuring implementing cloud workload protection capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- Familiarity with cloud security concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
Instructions
Monitor cloud workloads for runtime threats by checking process lists, network connections, file integrity, and resource utilization anomalies.
import boto3
ssm = boto3.client("ssm")
# Run command on EC2 instances to check for suspicious processes
response = ssm.send_command(
InstanceIds=["i-1234567890abcdef0"],
DocumentName="AWS-RunShellScript",
Parameters={"commands": ["ps aux | grep -E 'xmrig|minerd|cryptonight'"]},
)Key protection areas:
- Process monitoring for cryptominers and reverse shells
- File integrity monitoring on critical system files
- Network connection auditing for C2 callbacks
- Resource utilization anomaly detection (CPU spikes)
- Unauthorized binary detection via hash comparison
Examples
# Check for unauthorized outbound connections
ssm.send_command(
InstanceIds=instances,
DocumentName="AWS-RunShellScript",
Parameters={"commands": ["ss -tlnp | grep ESTABLISHED"]},
)Source materials
References and resources
Everything below is rendered for inspection. Script files are read-only and never run.
References 1
api-reference.md1.7 KB
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"])References
Scripts 1
agent.py6.8 KB
Display-only source. This catalog never executes bundled scripts.
#!/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()
Keep exploring