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mukul975
27c6414ca5
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
44 lines
1.4 KiB
Markdown
44 lines
1.4 KiB
Markdown
---
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name: analyzing-kubernetes-audit-logs
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description: >
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Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret
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access, RBAC modifications, privileged pod creation, and anonymous API access. Builds
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threat detection rules from audit event patterns. Use when investigating Kubernetes
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cluster compromise or building k8s-specific SIEM detection rules.
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---
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# Analyzing Kubernetes Audit Logs
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## Instructions
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Parse Kubernetes audit log files (JSON lines format) to detect security-relevant
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events including unauthorized access, privilege escalation, and data exfiltration.
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```python
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import json
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with open("/var/log/kubernetes/audit.log") as f:
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for line in f:
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event = json.loads(line)
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verb = event.get("verb")
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resource = event.get("objectRef", {}).get("resource")
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user = event.get("user", {}).get("username")
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if verb == "create" and resource == "pods/exec":
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print(f"Pod exec by {user}")
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```
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Key events to detect:
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1. pods/exec and pods/attach (shell into containers)
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2. secrets access (get/list/watch)
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3. clusterrolebindings creation (RBAC escalation)
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4. Privileged pod creation
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5. Anonymous or system:unauthenticated access
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## Examples
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```python
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# Detect secret enumeration
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if verb in ("get", "list") and resource == "secrets":
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print(f"Secret access: {user} -> {event['objectRef'].get('name')}")
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```
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