Tootfinder

Alright, got UPS monitoring and info via `nut` on the homelab network. The three Proxmox nodes are all net clients, and I took the fifth RPi4 that wasn't doing anything and tossed Raspbian on it to be the net server. After a bit of configuring: all of the servers are getting the information without issue.
As a bit of a note: Ubuntu 24.04 LTS _does not work_ on ARM64 because [insert reason here]. I think you can compile it yourself and it's fine, but the packages in the repos…

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
Shilong Wang, Jianchun Liu, Hongli Xu, Chenxia Tang, Qianpiao Ma, Liusheng Huang
https://arxiv.org/abs/2509.08409

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
Decentralized Federated Graph Learning (DFGL) overcomes potential bottlenecks of the parameter server in FGL by establishing a peer-to-peer (P2P) communication network among workers. However, while extensive cross-worker communication of graph node embeddings is crucial for DFGL training, it introduces substantial communication costs. Most existing works typically construct sparse network topologies or utilize graph neighbor sampling methods to alleviate the communication overhead in DFGL. Intu…

Well, after having lots of fun and success #VibeCoding my own #Obsidian clone, I finally went back to Obsidian. Having someone else do the work is great :)
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GitHub - DennisFaucher/ToastNotes: A simple, browser-based Markdown note-taking app with a modern UI, built using [Toast UI Editor](https://ui.toast.com/tui-editor), Node.js, and Docker. Notes are saved as Markdown files on the server and can be created, edited, renamed, deleted, printed, or exported.
A simple, browser-based Markdown note-taking app with a modern UI, built using [Toast UI Editor](https://ui.toast.com/tui-editor), Node.js, and Docker. Notes are saved as Markdown files on the serv...

Plug. Play. Persist. Inside a Ready-to-Go Havoc C2 Infrastructure
Alessio Di Santo
https://arxiv.org/abs/2507.00189 https://arxiv.org…

Plug. Play. Persist. Inside a Ready-to-Go Havoc C2 Infrastructure
This analysis focuses on a single Azure-hosted Virtual Machine at 52.230.23.114 that the adversary converted into an all-in-one delivery, staging and Command-and-Control node. The host advertises an out-of-date Apache 2.4.52 instance whose open directory exposes phishing lures, PowerShell loaders, Reflective Shell-Code, compiled Havoc Demon implants and a toolbox of lateral-movement binaries; the same server also answers on 8443/80 for encrypted beacon traffic. The web tier is riddled with publ…

RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
Isaac Marroqui Penalva, Enrique Tom\'as Mart\'inez Beltr\'an, Manuel Gil P\'erez, Alberto Huertas Celdr\'an
https://arxiv.org/abs/2506.19892

RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
Decentralized Federated Learning (DFL) enables nodes to collaboratively train models without a central server, introducing new vulnerabilities since each node independently selects peers for model aggregation. Malicious nodes may exploit this autonomy by sending corrupted models (model poisoning), delaying model submissions (delay attack), or flooding the network with excessive messages, negatively affecting system performance. Existing solutions often depend on rigid configurations or addition…