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Performing cloud native forensics with falco

Skill autohandai/community-skills/performing-cloud-native-forensics-with-falco

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Install
npx -y skills add autohandai/community-skills --skill performing-cloud-native-forensics-with-falco

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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.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

1.7 KB, 303 tokens by cl100k_base, as published. Nobody here has run it

Performing Cloud Native Forensics with Falco

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:

  1. Shell spawn in non-interactive containers
  2. Sensitive file access (/etc/shadow, /etc/passwd)
  3. Outbound connections from unexpected containers
  4. Privilege escalation via setuid/setgid
  5. 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]"

What ships with it: 3 files

20.0 KB alongside SKILL.md, 1 of them executable

references/

scripts/

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