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mukul975
efca3ec611
Mapped every skill to NIST CSF 2.0 subcategory IDs (GV/ID/PR/DE/RS/RC functions) based on subdomain and content analysis. Restores 11 skills corrupted during prior rebase, re-enriching with ATLAS, D3FEND, NIST AI RMF, and CSF 2.0 fields. All 754 skills now carry structured mappings for all 5 security frameworks: - MITRE ATT&CK (in tags) - MITRE ATLAS v5.5 (atlas_techniques) - MITRE D3FEND v1.3 (d3fend_techniques) - NIST AI RMF 1.0 (nist_ai_rmf) - NIST CSF 2.0 (nist_csf)
76 lines
2.1 KiB
Markdown
76 lines
2.1 KiB
Markdown
---
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name: implementing-cloud-workload-protection
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description: 'Implements cloud workload protection using boto3 and google-cloud APIs for runtime security monitoring, process
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anomaly detection, and file integrity checking on EC2/GCE instances. Scans for cryptomining, reverse shells, and unauthorized
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binaries. Use when building runtime security controls for cloud compute workloads.
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'
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domain: cybersecurity
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subdomain: cloud-security
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tags:
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- implementing
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- cloud
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- workload
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- protection
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- PR.IR-01
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- ID.AM-08
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- GV.SC-06
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- DE.CM-01
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---
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# Implementing Cloud Workload Protection
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## When to Use
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- When deploying or configuring implementing cloud workload protection capabilities in your environment
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- When establishing security controls aligned to compliance requirements
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- When building or improving security architecture for this domain
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- When conducting security assessments that require this implementation
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## Prerequisites
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- Familiarity with cloud security concepts and tools
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- Access to a test or lab environment for safe execution
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- Python 3.8+ with required dependencies installed
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- Appropriate authorization for any testing activities
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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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