mirror of
https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
synced 2026-08-01 08:30:20 +00:00
24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2.3 KiB
2.3 KiB
| name | description | domain | subdomain | tags | version | author | license | nist_csf | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| performing-cloud-native-forensics-with-falco | 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. | cybersecurity | cloud-security |
|
1.0 | mahipal | Apache-2.0 |
|
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]"