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Implementing Cloud Workload Protection

Implements cloud workload protection using boto3 and google-cloud APIs for runtime security monitoring, process anomaly detection, and file integrity checking on EC2/GCE instances. Scans for cryptomining, reverse shells, and unauthorized binaries. Use when building runtime security controls for cloud compute workloads.

autohandai Updated
DevOps & Infra

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Implementing Cloud Workload Protection

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:

  1. Process monitoring for cryptominers and reverse shells
  2. File integrity monitoring on critical system files
  3. Network connection auditing for C2 callbacks
  4. Resource utilization anomaly detection (CPU spikes)
  5. 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"]},
)

autohandai/community-skills/tree/main/implementing-cloud-workload-protection commit c163d05160

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