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mukul975
cb8d79e068
- Add validated mitre_attack frontmatter to all 754 skills (286 distinct techniques), verified against MITRE ATT&CK v19.1 via the official mitreattack-python library: 0 revoked, deprecated, or invalid IDs - Curate precise per-skill technique IDs for forensics, malware-analysis, threat-intel, and red-team skills (e.g. DCSync -> T1003.006, Kerberoasting -> T1558.003, Pass-the-Ticket -> T1550.003) - Reconcile v19.1 tactic restructuring: Defense Evasion split into Stealth (TA0005) and Defense Impairment (TA0112); revoked T1562.* family and T1070.001/.002 remapped to active equivalents (T1685.*) - Normalize word-split tags across 35 skills (remove filename-derived stopword tags, add semantic cybersecurity tags) - Add api-reference.md for 3 skills that were missing it - Update README ATT&CK section with accurate v19.1 tactic distribution
83 lines
2.3 KiB
Markdown
83 lines
2.3 KiB
Markdown
---
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name: analyzing-kubernetes-audit-logs
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description: 'Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod,
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secret access, RBAC modifications, privileged pod creation, and anonymous API access.
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Builds threat detection rules from audit event patterns. Use when investigating
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Kubernetes cluster compromise or building k8s-specific SIEM detection rules.
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'
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domain: cybersecurity
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subdomain: container-security
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tags:
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- kubernetes-security
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- container-security
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- audit-log-analysis
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- rbac
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- privilege-escalation
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- k8s-api-server
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- threat-detection
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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.PS-01
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- PR.IR-01
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- ID.AM-08
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- DE.CM-01
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mitre_attack:
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- T1610
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- T1613
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- T1078
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- T1552.007
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---
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# Analyzing Kubernetes Audit Logs
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## When to Use
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- When investigating security incidents that require analyzing kubernetes audit logs
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Familiarity with container 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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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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