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Moltbot Incident Response: Automatisierung & Playbooks

Reduziere die Reaktionszeit auf Security-Incidents von Stunden auf Minuten — mit automatisierten Playbooks, Auto-Remediation und integrierten Alerting-Systemen.

🚨 Incident Severity Matrix

SeverityBeispielResponse ZeitAuto-Action
P1 CriticalData Breach / RCE< 15 MinAuto-Block + Alert CEO
P2 HighAuth Bypass Versuch< 1 StdIP-Block + Alert Security
P3 MediumBrute Force Attack< 4 StdRate Limit + Log
P4 LowAnomale Log-Aktivität< 24 StdLog + Weekly Report

⚡ Auto-Remediation Engine

// moltbot/lib/auto-remediation.ts
import { Redis } from '@upstash/redis';

const redis = new Redis({ url: process.env.UPSTASH_REDIS_REST_URL!, token: process.env.UPSTASH_REDIS_REST_TOKEN! });

type IncidentType = 'brute_force' | 'injection_attempt' | 'data_exfiltration' | 'privilege_escalation';

const REMEDIATION_PLAYBOOKS: Record<IncidentType, (ip: string) => Promise<void>> = {
  brute_force: async (ip) => {
    await redis.setex(`block:${ip}`, 3600, '1');          // 1h Block
    await redis.setex(`rate_strict:${ip}`, 7200, '1');    // 2h Strict Rate Limit
  },
  injection_attempt: async (ip) => {
    await redis.setex(`block:${ip}`, 86400, '1');         // 24h Block
    await notifySlack('injection_attempt', ip, 'P2');
  },
  data_exfiltration: async (ip) => {
    await redis.setex(`block:${ip}`, -1, '1');            // Permanent Block
    await notifySlack('data_exfiltration', ip, 'P1');
    await notifyPagerDuty('data_exfiltration', ip);
  },
  privilege_escalation: async (ip) => {
    await redis.setex(`block:${ip}`, -1, '1');
    await notifyPagerDuty('privilege_escalation', ip);
    await triggerKubernetesIsolation(ip);
  },
};

export async function executePlaybook(type: IncidentType, ip: string) {
  const playbook = REMEDIATION_PLAYBOOKS[type];
  await playbook(ip);
  await redis.lpush('incident_log', JSON.stringify({ type, ip, ts: Date.now(), action: 'auto_remediated' }));
}

📋 Post-Mortem Template

Incident ID
INC-2024-XXXX
Severity
P1 / P2 / P3
Detection Time
YYYY-MM-DD HH:MM UTC
Resolution Time
YYYY-MM-DD HH:MM UTC
Total Downtime
X Minuten
Affected Users
X Kunden
Root Cause
Kurze Beschreibung
Contributing Factors
Factor 1, Factor 2
Immediate Actions
Was wurde sofort getan?
Long-term Fix
Was verhindert Wiederholung?

🔗 Weiterführende Ressourcen

🔒 Quantum-Resistant Mycelium Architecture
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