Individual skill
detecting-container-drift-at-runtime
Detect unauthorized modifications to running containers by monitoring for binary execution drift, file system changes, and configuration deviations from the original container image.
internal/tools/skills/data/container-security/detecting-container-drift-at-runtime/SKILL.md
Source commit d42f381ad34843e71a42658e5c57290c713e85af
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- container-drift Declared skill tag
- runtime-security Declared skill tag
- immutable-containers Declared skill tag
- falco Declared skill tag
- kubernetes Declared skill tag
- container-security Declared skill tag
- drift-detection Declared skill tag
- microsoft-defender Declared skill tag
- devops Derived category
- security Derived category
- devops-containers Derived category
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# Detecting Container Drift at Runtime
## Overview
Container drift occurs when running containers deviate from their original image state through unauthorized file modifications, unexpected binary execution, configuration changes, or package installations. Since containers should be treated as immutable infrastructure, any drift is a potential indicator of compromise. Detection techniques leverage the DIE (Detect, Isolate, Evict) model -- an immutable workload should not change during runtime, so any observed change is potentially evidence of malicious activity.
## When to Use
- When investigating security incidents that require detecting container drift at runtime
- 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
