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Reduce human delays between malware detection and remediation in MSSP/SOC environments. This workflow automates full endpoint antivirus scanning immediately after high-severity endpoint infection wazuh alerts, closing the gap between alerting and action.
Why Use This Workflow?
Malware alerts are only effective if acted upon swiftly. Manual follow-ups are slow or often missed, letting threats persist.
Automates detection, triage, scan initiation, and notification—all within one minute of alerting.
Ensures consistent, auditable actions across endpoints running Linux or Windows.
🔑 Key Features
Listens for high-severity Wazuh AV infection alerts (e.g., rule 52502).
Uses GPT-4 for AI-powered alert summaries to speed triage and decision making.
Extracts exact infected file paths using AI and regex for targeted scanning.
Runs ClamAV/defender scans directly on endpoints via SSH with least-privilege credentials.
Sends real-time scan results and remediation updates through Telegram, Slack, or email.
Runs locally with limited permissions—no need for elevated Wazuh manager access.
🎯 Impact
Eliminates manual lag—scans start automatically and immediately.
Standardizes response playbooks for reliable, repeatable remediation.
Reduces threat dwell time, minimizing risk exposure.
Provides full event-to-remediation visibility via logs and notifications.
🚀 Get Started
Configure Wazuh Manager to forward AV alerts to this n8n webhook.
Import this workflow JSON into your n8n instance.
Set up required credentials: OpenAI API, SSH access for ClamAV scanning, notification channels (Telegram/Slack/email).
Activate the workflow and monitor alerts triggering automated scans and reports.
📂 Enjoy customizing
Swap ClamAV with your preferred antivirus commands (e.g., Defender) as needed.
Integrate with your existing communication or ticketing systems.
Extend or adapt for multi-endpoint orchestration or other alert rules.
Created by Mariskarthick M
Senior Security Analyst | Detection Engineer | Threat Hunter | Open-Source Enthusiast