Proxmox - HP3 Wake-on-LAN (WOL) Monitoring & Sniffer

Proxmox - Wake-on-LAN (WOL) Monitoring & Sniffer#

This guide outlines a persistent, lightweight background service for monitoring and logging Wake-on-LAN (WOL) Magic Packets on the Proxmox network. The payload is retained so the target MAC can be identified even when a server has multiple NICs or alternate MAC addresses.

2026-08-03 Antigravity chat: agy –conversation=3b2d07f7-d649-4fed-9976-8f0deadf60f9


1. Overview & Purpose#

  • Primary Target: HP3 (10.1.1.13), documented MAC ec:b1:d7:7c:a9:48
  • Additional Targets: Any WOL target visible on the monitored segment, including HP2 (94:57:a5:65:7e:88)
  • Capture Host: MMProxmox / MacMini (10.1.1.10)
  • Capture Interface: bond0 (active-backup bond; nic1 currently active)
  • Objective: Capture the source IP, source Ethernet MAC, timestamp, VLAN, and WOL payload target MAC.
  • Resource Overhead: Near zero (~1 MB RAM, 0% CPU overhead).

2. Systemd Service Specification#

The sniffer uses tcpdump running as a background systemd daemon. It listens on the physical uplink (bond0) for UDP port 9/7 and raw Ethernet WOL traffic, retaining the complete packet payload in /var/log/wol_sniffer.log.

Ollama & Stable Diffusion AI Guide

Ollama & Stable Diffusion AI Guide#

1 HP1GPU - Docker (Ollama Model Inventory)#

1.1 llama3.2:latest (2.0 GB)#

  • Consuming VM: HP1Docker
  • Services:
    • karakeep (Docker)
    • paperless (Docker)
    • [n8n](n8n.md) (Docker)

1.2 qwen3-vl:8b (6.1 GB)#

  • Consuming VM: HP1Docker
    • Service: paperless-ai (Docker)

1.3 gemma3:12b (8.1 GB)#

  • Consuming VM: HP1GPU
  • Service:
    • open-webui (Docker)

1.4 llama3.2-vision:latest (7.8 GB)#

  • Consuming VM: HP1Docker
  • Service:
    • paperless Inactive (Commented out in compose)

1.5 qwen2.5vl:3b (3.2 GB)#

  • Consuming VM: HP1Docker
  • Service: paperless (Testing)
  • Status: Inactive (Commented out in compose)

1.6 glm-ocr:latest (2.2 GB)#

1.7 gemma4::e4b (9.6 GB)#

1.8 nomic-embed-text:latest (274 MB)#

  • Service: Internal Embeddings / RAG
  • Status: Active (Implicit)

2 Ollama Installation & Network Setup#

2.1 Basic Installation#

# Open firewall port
ufw allow 11434/tcp
# Official Install Script
curl -fsSL [https://ollama.com/install.sh](https://ollama.com/install.sh) | sh

2.2 Enable Local Network Access#

To allow other devices to use the AI, you must change the bind address from 127.0.0.1 to 0.0.0.0.