performing-cloud-native-forensics-with-falco
Lets your agent detect real-time threats in containers and Kubernetes. It monitors unusual activities to prevent attacks.
What it does
This tool helps detect suspicious activities in your containers and Kubernetes clusters in real-time. It monitors what happens inside them to identify threats like unauthorized access or file tampering.
When to use it
- ✓When investigating a potential attack on your systems.
- ✓When testing the security of your containers.
- ✓When monitoring unusual activities in your Kubernetes clusters.
Example of what to ask your AI
“Detect if someone tried to access important files inside my container.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It uses a set of predefined rules (like a detective) to observe actions within containers. If something suspicious happens, like an unknown program being executed, it issues an alert.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-cloud-native-forensics-with-falcoOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/performing-cloud-native-forensics-with-falco/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Performing Cloud Native Forensics with Falco
When to Use
- When conducting security assessments that involve performing cloud native forensics with falco
- When following incident response procedures for related security events
- When performing scheduled security testing or auditing activities
- When validating security controls through hands-on testing
Prerequisites
- Familiarity with cloud 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
Deploy and manage Falco rules for runtime security detection in containerized environments. Parse Falco alerts for incident response.
# Custom Falco rule for detecting shell in container
- rule: Shell Spawned in Container
desc: Detect shell process started in a container
condition: >
spawned_process and container
and proc.name in (bash, sh, zsh, dash, csh)
and not proc.pname in (docker-entrypo, supervisord)
output: >
Shell spawned in container
(user=%user.name command=%proc.cmdline container=%container.name
image=%container.image.repository)
priority: WARNING
tags: [container, shell, mitre_execution]
Key detection rules:
- Shell spawn in non-interactive containers
- Sensitive file access (/etc/shadow, /etc/passwd)
- Outbound connections from unexpected containers
- Privilege escalation via setuid/setgid
- Container escape via mount or ptrace
Examples
# Run Falco with custom rules
falco -r /etc/falco/custom_rules.yaml -o json_output=true
# Parse JSON alerts
cat /var/log/falco/alerts.json | python3 -c "import json,sys; [print(json.loads(l)['output']) for l in sys.stdin]"
FAQ
What are 'syscalls'?
They are like requests that a program makes to the operating system to perform an action, such as reading a file or creating a new process.
What are 'containers'?
They are like isolated boxes that package a program and everything it needs to run, making it easier to execute on different computers.
What is 'Kubernetes'?
It's a system that helps manage many containers at once, ensuring they run correctly and are available.
Details
Original description by the author
Uses Falco YAML rules for runtime threat detection in containers and Kubernetes, monitoring syscalls for shell spawns, file tampering, network anomalies, and privilege escalation. Manages Falco rules via the Falco gRPC API and parses Falco alert output. Use when building container runtime security or investigating k8s cluster compromises. '
Popularity
- GitHub stars
- 35k
- Ranking position
- #6040
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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