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
78 lines
2.3 KiB
Markdown
78 lines
2.3 KiB
Markdown
---
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name: performing-cloud-native-forensics-with-falco
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description: 'Uses Falco YAML rules for runtime threat detection in containers and Kubernetes, monitoring syscalls for shell
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spawns, file tampering, network anomalies, and privilege escalation. Manages Falco rules via the Falco gRPC API and parses
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Falco alert output. Use when building container runtime security or investigating k8s cluster compromises.
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'
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domain: cybersecurity
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subdomain: cloud-security
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tags:
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- performing
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- cloud
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- native
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- forensics
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- PR.IR-01
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- ID.AM-08
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- GV.SC-06
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- DE.CM-01
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---
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# Performing Cloud Native Forensics with Falco
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## When to Use
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- When conducting security assessments that involve performing cloud native forensics with falco
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- When following incident response procedures for related security events
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- When performing scheduled security testing or auditing activities
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- When validating security controls through hands-on testing
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## Prerequisites
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- Familiarity with cloud security concepts and tools
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- Access to a test or lab environment for safe execution
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- Python 3.8+ with required dependencies installed
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- Appropriate authorization for any testing activities
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## Instructions
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Deploy and manage Falco rules for runtime security detection in containerized
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environments. Parse Falco alerts for incident response.
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```yaml
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# Custom Falco rule for detecting shell in container
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- rule: Shell Spawned in Container
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desc: Detect shell process started in a container
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condition: >
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spawned_process and container
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and proc.name in (bash, sh, zsh, dash, csh)
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and not proc.pname in (docker-entrypo, supervisord)
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output: >
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Shell spawned in container
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(user=%user.name command=%proc.cmdline container=%container.name
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image=%container.image.repository)
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priority: WARNING
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tags: [container, shell, mitre_execution]
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```
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Key detection rules:
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1. Shell spawn in non-interactive containers
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2. Sensitive file access (/etc/shadow, /etc/passwd)
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3. Outbound connections from unexpected containers
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4. Privilege escalation via setuid/setgid
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5. Container escape via mount or ptrace
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## Examples
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```bash
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# Run Falco with custom rules
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falco -r /etc/falco/custom_rules.yaml -o json_output=true
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# Parse JSON alerts
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cat /var/log/falco/alerts.json | python3 -c "import json,sys; [print(json.loads(l)['output']) for l in sys.stdin]"
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```
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