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mukul975
52 lines
1.5 KiB
Markdown
52 lines
1.5 KiB
Markdown
---
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name: implementing-cloud-workload-protection
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description: >
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Implements cloud workload protection using boto3 and google-cloud APIs for runtime
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security monitoring, process anomaly detection, and file integrity checking on EC2/GCE
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instances. Scans for cryptomining, reverse shells, and unauthorized binaries.
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Use when building runtime security controls for cloud compute workloads.
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domain: cybersecurity
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subdomain: cloud-security
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tags: [implementing, cloud, workload, protection]
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version: "1.0"
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author: mahipal
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license: MIT
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---
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# Implementing Cloud Workload Protection
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## Instructions
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Monitor cloud workloads for runtime threats by checking process lists, network
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connections, file integrity, and resource utilization anomalies.
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```python
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import boto3
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ssm = boto3.client("ssm")
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# Run command on EC2 instances to check for suspicious processes
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response = ssm.send_command(
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InstanceIds=["i-1234567890abcdef0"],
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DocumentName="AWS-RunShellScript",
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Parameters={"commands": ["ps aux | grep -E 'xmrig|minerd|cryptonight'"]},
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)
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```
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Key protection areas:
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1. Process monitoring for cryptominers and reverse shells
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2. File integrity monitoring on critical system files
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3. Network connection auditing for C2 callbacks
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4. Resource utilization anomaly detection (CPU spikes)
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5. Unauthorized binary detection via hash comparison
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## Examples
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```python
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# Check for unauthorized outbound connections
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ssm.send_command(
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InstanceIds=instances,
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DocumentName="AWS-RunShellScript",
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Parameters={"commands": ["ss -tlnp | grep ESTABLISHED"]},
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)
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```
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