I asked AI to respond to the AirSnitch vulnerability the day it dropped

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Hello world! Long time lurker first time poster, please be kind :) AirSnitch published at NDSS 2026 this week. Every tested router is vulnerable to Wi-Fi client isolation bypass. Vendors will patch it eventually. The IEEE will update the standard eventually. I wanted to know: how quickly can AI turn a newly published academic paper into something a paranoid homeowner could actually deploy while they wait for firmware updates? One afternoon. No prior knowledge of the exploit. No testing. Full honesty about both of those things in the README. The result is a Raspberry Pi cloud-init config that deploys Kismet tuned to AirSnitch attack indicators, with webhook and email alerting. Is it perfect? No. Is it a credible starting point that didn't exist Yesterday morning? Yes. That's the point. https://bitbucket.org/nevynweb/airsnitchalerter I’m sharing in good faith that this is either genuinely useful to someone, perhaps even a catalyst for an actual detector or patch, or just a novelty demonstration of the current capability of Claude AI Thanks for looking :)

Visit product View on Hacker NewsFeb 27, 2026

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73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, io · Missing: https docs, excited, just released

33%33% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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