Ru

Ruroco – like port knocking, but better

Hacker News

Ruroco – like port knocking, but better

Hey there HN! ruroco (RUn RemOte COmmand) is a tool that lets you execute commands on a server by sending UDP packets (instead of knocking on ports). the tool consist of 3 binaries: - client -> runs on your notebook/computer and sends the UDP packets - server -> receives the UDP packets and makes sure that they are valid - commander -> runs the command encoded by the data of the UDP packet if it's valid The commands are configured on the server side, so the client does not define what is going to be executed, it only picks from existing commands. I use this tool to open up the SSH port on my server via ufw, but only for the IP address from where I'm connecting, so the SSH port appears closed for everyone else, except me. This is my very first "real" rust project, so any feedback is highly appreciated :) Enjoy!

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Product HuntOn track for Day 1 leaderboard · Strong signals: computer, code, open · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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