infra/docs/architecture/security.md
Viktor Barzin 65b0f30d5e [docs] Update anti-AI and rybbit docs after rewrite-body removal
- Anti-AI: 5-layer → 3 active layers (bot-block, X-Robots-Tag, tarpit)
- Layer 3 (trap links via rewrite-body) removed — Yaegi v3 incompatible
- Rybbit analytics now injected via Cloudflare Worker (HTMLRewriter)
- strip-accept-encoding middleware removed from all references

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-17 21:43:13 +00:00

15 KiB

Security & L7 Protection

Overview

The homelab implements defense-in-depth security at the application layer (L7) using CrowdSec for threat intelligence and IP reputation, Kyverno for policy enforcement and resource governance, and a 3-layer anti-AI scraping defense (reduced from 5 in April 2026 after removing the rewrite-body plugin). All security components operate in graceful degradation mode (fail-open) to prevent cascading failures. Security policies are deployed in audit mode first, then selectively enforced after validation.

Architecture Diagram

graph LR
    Internet[Internet]
    CF[Cloudflare WAF]
    Tunnel[Cloudflared Tunnel]
    CrowdSec[CrowdSec Bouncer<br/>Traefik Plugin]
    AntiAI[Anti-AI Check<br/>poison-fountain]
    ForwardAuth[Authentik ForwardAuth]
    RateLimit[Rate Limit Middleware]
    Retry[Retry Middleware<br/>2 attempts, 100ms]
    Backend[Backend Service]

    LAPI[CrowdSec LAPI<br/>3 replicas]
    Agent[CrowdSec Agent]

    Internet -->|1| CF
    CF -->|2| Tunnel
    Tunnel -->|3| CrowdSec
    CrowdSec -.->|Query| LAPI
    Agent -.->|Report| LAPI
    CrowdSec -->|4. Pass/Block| AntiAI
    AntiAI -->|5. Human/Bot| ForwardAuth
    ForwardAuth -->|6. Authenticated| RateLimit
    RateLimit -->|7. Under Limit| Retry
    Retry -->|8. Success/Retry| Backend

    style CrowdSec fill:#f9f,stroke:#333
    style AntiAI fill:#ff9,stroke:#333
    style ForwardAuth fill:#9f9,stroke:#333
    style RateLimit fill:#99f,stroke:#333

Components

Component Version Location Purpose
CrowdSec LAPI Pinned stacks/crowdsec/ Local API, threat intelligence aggregation (3 replicas)
CrowdSec Agent Pinned stacks/crowdsec/ Log parser, scenario detection
CrowdSec Traefik Bouncer Plugin Traefik config Plugin-based IP reputation check
Kyverno Pinned chart stacks/kyverno/ Policy engine for K8s admission control
poison-fountain Latest stacks/poison-fountain/ Anti-AI bot detection and tarpit service
cert-manager/certbot - stacks/cert-manager/ TLS certificate management
Traefik Latest stacks/platform/ Ingress controller with HTTP/3 (QUIC)

How It Works

Request Security Layers

Every incoming request passes through 6 security layers:

  1. Cloudflare WAF - DDoS protection, bot detection, firewall rules (external)
  2. Cloudflared Tunnel - Zero Trust tunnel, hides origin IP
  3. CrowdSec Bouncer - IP reputation check against LAPI (fail-open on error)
  4. Anti-AI Scraping - 3-layer bot defense (optional per service, updated 2026-04-17)
  5. Authentik ForwardAuth - Authentication check (if protected = true)
  6. Rate Limiting - Per-source IP rate limits (returns 429 on breach)
  7. Retry Middleware - Auto-retry on transient errors (2 attempts, 100ms delay)

CrowdSec Threat Intelligence

CrowdSec operates in a hub-and-agent model:

LAPI (Local API):

  • 3 replicas for high availability
  • Aggregates threat intelligence from agent + community
  • Maintains ban list (IP reputation database)
  • Version pinned to prevent breaking changes

Agent:

  • Parses Traefik access logs
  • Detects attack scenarios (SQL injection, directory traversal, brute force)
  • Reports malicious IPs to LAPI
  • Shares threat intel with CrowdSec community (anonymized)

Traefik Bouncer Plugin:

  • Integrated as Traefik middleware
  • Queries LAPI for IP reputation on each request
  • Fail-open mode: If LAPI unreachable, allows traffic (graceful degradation)
  • Blocks IPs on ban list, allows others

Metabase (disabled by default):

  • Dashboard for CrowdSec analytics
  • CPU-intensive, only enable when investigating incidents

Kyverno Policy Engine

Kyverno enforces cluster-wide policies via admission webhooks. All policies use failurePolicy=Ignore to prevent blocking cluster operations.

5-Tier Resource Governance

Namespaces are labeled with a tier (tier: 0 through tier: 4). Kyverno auto-generates:

  • LimitRange - Per-container CPU/memory limits
  • ResourceQuota - Namespace-wide resource caps
Tier CPU Limit/Container Memory Limit/Container Namespace CPU Quota Namespace Memory Quota
0 100m 128Mi 500m 512Mi
1 250m 256Mi 1000m 1Gi
2 500m 512Mi 2000m 2Gi
3 1000m 1Gi 4000m 4Gi
4 2000m 2Gi 8000m 8Gi

This prevents resource exhaustion and enforces governance without manual quota management.

Security Policies (ALL in Audit Mode)

Why audit mode? Gradual rollout without breaking existing workloads. Policies collect violations, then selectively enforced after cleanup.

Policy Purpose Enforcement
deny-privileged-containers Block privileged pods Audit
deny-host-namespaces Block hostNetwork/hostPID/hostIPC Audit
restrict-sys-admin Block CAP_SYS_ADMIN Audit
require-trusted-registries Only allow approved image registries Audit

Operational Policies

Policy Purpose Mode
inject-priority-class-from-tier Set pod priorityClass based on namespace tier Enforce (CREATE only)
inject-ndots Set DNS ndots:2 for faster lookups Enforce
sync-tier-label Propagate tier label to child resources Enforce
goldilocks-vpa-auto-mode Disable VPA globally (VPA off) Enforce

Anti-AI Scraping (3 Active Layers) (Updated 2026-04-17)

Enabled by default via ingress_factory module. Disable per-service with anti_ai_scraping = false.

Active middleware chain: ai-bot-block (ForwardAuth) + anti-ai-headers (X-Robots-Tag). The strip-accept-encoding and anti-ai-trap-links middlewares were removed in April 2026 due to Traefik v3.6.12 Yaegi plugin incompatibility with the rewrite-body plugin.

Layer 1: Bot Blocking (ForwardAuth)

  • Middleware calls poison-fountain service before backend
  • Analyzes User-Agent, request patterns, timing
  • Blocks known AI scrapers (GPTBot, CCBot, etc.)
  • Fail-open: If poison-fountain down, allows traffic

Layer 2: X-Robots-Tag Header

  • HTTP response header: X-Robots-Tag: noai, noindex, nofollow
  • Instructs compliant bots to skip content
  • Lightweight, no performance impact

Removed April 2026. The rewrite-body Traefik plugin used to inject hidden trap links broke on Traefik v3.6.12 due to Yaegi runtime bugs. The companion strip-accept-encoding middleware was also removed.

Layer 3 (formerly 4): Tarpit / Poison Content

  • poison-fountain service still exists as a standalone service at poison.viktorbarzin.me
  • Serves AI bots extremely slowly (~100 bytes/sec tarpit)
  • CronJob every 6 hours generates fake content
  • Trap links are no longer injected into real pages, but bots that discover poison.viktorbarzin.me directly still get tarpitted and poisoned

Implementation: See stacks/poison-fountain/ and stacks/platform/modules/traefik/middleware.tf

TLS & HTTP/3

Traefik handles TLS termination:

  • HTTP/3 (QUIC) enabled for performance
  • Automatic HTTP → HTTPS redirect
  • cert-manager/certbot manages certificate lifecycle
  • Let's Encrypt integration for automatic renewal

Rate Limiting

Per-source IP limits:

  • Default: 100 requests/minute
  • Returns 429 Too Many Requests (not 503)
  • Higher limits for upload-heavy services:
    • Immich: 500 req/min (photo uploads)
    • Nextcloud: 300 req/min (file sync)

Retry Middleware:

  • 2 attempts max
  • 100ms delay between retries
  • Applied after rate limiting
  • Handles transient backend errors

Fallback Proxies

Authentik Fallback:

  • If Authentik down, falls back to basicAuth
  • Prevents total service outage during IdP maintenance
  • Temporary credentials stored in Vault

Poison-Fountain Fallback:

  • If anti-AI service down, allows all traffic
  • Fail-open prevents blocking legitimate users
  • Monitors for service health, auto-recovers

Configuration

Key Config Files

Path Purpose
stacks/crowdsec/ CrowdSec LAPI, agent, bouncer config
stacks/kyverno/ Kyverno deployment + policies
stacks/poison-fountain/ Anti-AI service + CronJob
stacks/platform/modules/traefik/middleware.tf Security middleware definitions
stacks/platform/modules/ingress_factory/ Per-service security toggles

Vault Paths

  • CrowdSec API key: secret/crowdsec/api-key - LAPI authentication
  • BasicAuth fallback: secret/authentik/fallback-creds - Emergency auth
  • TLS certificates: secret/tls/ - Certificate private keys

Terraform Stacks

  • stacks/crowdsec/ - CrowdSec infrastructure
  • stacks/kyverno/ - Policy engine
  • stacks/poison-fountain/ - Anti-AI defense
  • stacks/platform/ - Traefik + middleware

Per-Service Security Config

module "myapp_ingress" {
  source = "./modules/ingress_factory"

  name      = "myapp"
  host      = "myapp.viktorbarzin.me"

  # Security toggles
  protected         = true   # Enable ForwardAuth
  anti_ai_scraping  = false  # Disable anti-AI (e.g., for public API)
  rate_limit        = 200    # Custom rate limit (req/min)
}

Kyverno Policy Example

apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
  name: inject-ndots
spec:
  background: false
  rules:
  - name: inject-ndots
    match:
      resources:
        kinds:
        - Pod
    mutate:
      patchStrategicMerge:
        spec:
          dnsConfig:
            options:
            - name: ndots
              value: "2"

Decisions & Rationale

Why CrowdSec over ModSecurity?

  • Community threat intelligence: Shared ban lists, crowdsourced attack detection
  • Easier management: YAML scenarios vs complex ModSecurity rules
  • Better performance: Lightweight Go agent vs resource-heavy Apache module
  • Active development: More frequent updates, responsive community

Why Audit-Only Security Policies?

  • Gradual rollout: Identify violations without breaking existing workloads
  • Risk reduction: Prevents policy bugs from blocking critical deployments
  • Better observability: Collect violation metrics before enforcing
  • Selective enforcement: Move to enforce mode per-policy after validation

Why Multi-Layer Anti-AI Defense? (Updated 2026-04-17)

  • Defense in depth: Each layer catches different bot types
  • Compliant bots: Layer 2 (X-Robots-Tag) handles respectful crawlers
  • Persistent bots: Tarpit makes scraping uneconomical
  • Poison content: Degrades training data for bots that reach poison-fountain
  • Layer 3 (trap links via rewrite-body) was removed due to Traefik v3 plugin incompatibility

Why Fail-Open Mode?

  • Availability over security: Homelab prioritizes uptime
  • Graceful degradation: Single component failure doesn't cascade
  • Manual intervention: Security incidents are rare, can handle manually
  • Layer redundancy: If one layer fails, others still protect

Why Pin CrowdSec/Kyverno Versions?

  • Breaking changes: Both projects had breaking config changes in past
  • Controlled upgrades: Test in staging before upgrading production
  • Stability: Prevents auto-upgrade during outages
  • Rollback: Easy to revert if upgrade causes issues

Why HTTP/3 (QUIC)?

  • Performance: Lower latency, better mobile performance
  • Connection migration: Survives IP changes (mobile networks)
  • 0-RTT: Faster TLS handshake for repeat visitors
  • Future-proof: Industry moving to HTTP/3

Troubleshooting

CrowdSec Blocking Legitimate IP

Problem: Legitimate user IP on ban list.

Fix:

  1. Check LAPI decisions: kubectl exec -it crowdsec-lapi-0 -- cscli decisions list
  2. Remove ban: kubectl exec -it crowdsec-lapi-0 -- cscli decisions delete --ip <IP>
  3. Whitelist if needed: Add to stacks/crowdsec/whitelist.yaml

Kyverno Policy Blocking Deployment

Problem: Pod creation fails with policy violation.

Fix:

  1. Check policy reports: kubectl get policyreport -A
  2. Verify failurePolicy=Ignore is set (should never block)
  3. If blocking, temporarily disable policy: kubectl annotate clusterpolicy <policy> kyverno.io/exclude=true
  4. Investigate root cause, fix workload or update policy

Anti-AI Service Down, Traffic Blocked

Problem: poison-fountain service unhealthy, all traffic blocked.

Fix:

  1. Verify fail-open config: Check stacks/platform/modules/traefik/middleware.tf for failurePolicy: allow
  2. Restart service: kubectl rollout restart deployment/poison-fountain -n poison-fountain
  3. Temporary disable: Set anti_ai_scraping = false in ingress_factory for affected services

Rate Limit Too Aggressive

Problem: Legitimate users getting 429 errors.

Fix:

  1. Check Traefik logs for rate limit hits: kubectl logs -n traefik -l app=traefik | grep 429
  2. Increase limit in ingress_factory: rate_limit = 300
  3. Apply: terraform apply

HTTP/3 Not Working

Problem: Browser shows HTTP/2, not HTTP/3.

Fix:

  1. Verify Traefik HTTP/3 enabled: kubectl get cm traefik-config -o yaml | grep http3
  2. Check UDP port 443 accessible: nc -u <public-ip> 443
  3. Browser support: Use Chrome/Firefox dev tools, check Protocol column

TLS Certificate Expired

Problem: Browser shows certificate expired.

Fix:

  1. Check cert-manager: kubectl get certificate -A
  2. Force renewal: kubectl delete secret <tls-secret> -n <namespace>
  3. cert-manager will auto-renew within 5 minutes
  4. If fails, check Let's Encrypt rate limits

Traefik Retry Loop

Problem: Backend logs show duplicate requests.

Fix:

  1. Check retry middleware config: Should be 2 attempts max
  2. Verify backend isn't returning transient errors: Check for 5xx responses
  3. Disable retry for specific service: Remove retry middleware from ingress_factory

Poison Content Not Serving (Updated 2026-04-17)

Problem: Bots not receiving poisoned content on poison.viktorbarzin.me.

Note: Poison content is no longer injected into real pages (rewrite-body removed). It is only served directly via the poison.viktorbarzin.me subdomain.

Fix:

  1. Verify CronJob running: kubectl get cronjob -n poison-fountain
  2. Check logs: kubectl logs -n poison-fountain -l app=poison-fountain
  3. Manually trigger: kubectl create job --from=cronjob/poison-content manual-poison