Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.
The English summary is being prepared. Showing the original description.
micsapp/micstec-skills4Updated Mar 20, 2026
FreePublished on GitHub
analyzing-kubernetes-audit-logs
Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access. Builds threat detection rules from audit event patterns. Use when investigating Kubernetes cluster compromise or building k8s-specific SIEM detection rules.
The English summary is being prepared. Showing the original description.
Works withKubernetes
See how to installFiles included (4)
- SKILL.md2.1 KB
- LICENSE11.0 KB
- references/api-reference.md1.6 KB
- scripts/agent.py7.7 KB
SKILL.md (original)
Review the instructions the agent will receive before you install.
Analyzing Kubernetes Audit Logs
When to Use
- When investigating security incidents that require analyzing kubernetes audit logs
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Familiarity with container security concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
Instructions
Parse Kubernetes audit log files (JSON lines format) to detect security-relevant events including unauthorized access, privilege escalation, and data exfiltration.
import json
with open("/var/log/kubernetes/audit.log") as f:
for line in f:
event = json.loads(line)
verb = event.get("verb")
resource = event.get("objectRef", {}).get("resource")
user = event.get("user", {}).get("username")
if verb == "create" and resource == "pods/exec":
print(f"Pod exec by {user}")
Key events to detect:
- pods/exec and pods/attach (shell into containers)
- secrets access (get/list/watch)
- clusterrolebindings creation (RBAC escalation)
- Privileged pod creation
- Anonymous or system:unauthenticated access
Examples
# Detect secret enumeration
if verb in ("get", "list") and resource == "secrets":
print(f"Secret access: {user} -> {event['objectRef'].get('name')}")
Reviews
No reviews yet. Tell others what you thought.
Comments
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
More skills from this repository
algorithmic-art
FreeCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
The English summary is being prepared. Showing the original description.
micsapp/micstec-skills4Updated Mar 20, 2026
Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths
The English summary is being prepared. Showing the original description.
micsapp/micstec-skills4Updated Mar 20, 2026
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
The English summary is being prepared. Showing the original description.
micsapp/micstec-skills4Updated Mar 20, 2026
Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.
The English summary is being prepared. Showing the original description.
micsapp/micstec-skills4Updated Mar 20, 2026
Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.
The English summary is being prepared. Showing the original description.
micsapp/micstec-skills4Updated Mar 20, 2026