--- title: "How to block NSFW AI image generators for good" description: "New explicit AI generators launch faster than any blocklist updates. Category blocking plus screen-level detection is the defense that doesn't expire." url: https://tkot.com/journal/block-nsfw-ai-image-generators-and-deepfake-sites/ canonical: https://tkot.com/journal/block-nsfw-ai-image-generators-and-deepfake-sites/ author: "Arya Stark" published: 2026-06-07 updated: 2026-06-07 category: "Loopholes" tags: ["ai generators", "deepfakes", "side doors", "block porn"] lang: en --- # How to block NSFW AI image generators for good > **TL;DR** Explicit AI image generators and deepfake sites appear faster than any domain list can track, so blocking them by address is a race you lose weekly. The durable defense is category-level blocking for the known mass plus on-device screen detection that reacts to the rendered result, no matter how new the domain is. TKO'T runs both, free, on Mac and iPhone, and the same screen layer covers generators reached through chats and in-app browsers. Explicit AI image generators are the fastest-moving category the blocking world has ever dealt with: new sites and chat bots appear weekly, most are too new for any blocklist, and many live on ordinary-looking domains. If your filter was built to recognize the old web's known adult sites, this category walks straight past it. The defense that holds is the one [TKO'T](/#download) is built on: block the category broadly at DNS, then let an on-device screen layer judge the rendered result, which no brand-new domain can disguise. Free, Mac and iPhone, defense-only as always. ## Why blocklists lose this race specifically Classic adult sites wanted to be found, so they accumulated reputation, and filters learned them. Generator sites invert every part of that: they launch fast, rebrand faster, get embedded into chat interfaces and app webviews, and the explicit material does not exist until the moment it is generated, so there is no page for a crawler to have classified yesterday. Law enforcement has flagged the same dynamic from the harm side, the FBI's [public warning on AI-manipulated explicit imagery](https://www.ic3.gov/PSA/2023/PSA230605) describes how cheaply ordinary photos become explicit synthetic media, which is also why undress-style sites deserve zero benefit of the doubt: beyond your own recovery, that content is built on real people who never consented. For the person trying to quit, the practical problem is simpler: the route exists, your list does not know it yet, and at 1 a.m. novelty is exactly what the urge goes looking for. ## The two layers that do not expire **Category blocking for the mass.** Good DNS-level filtering now tracks AI-generator and NSFW-AI categories rather than individual names, which kills the established sites and the bulk of new ones as they get classified. Pin the DNS with a [managed settings payload](https://support.apple.com/guide/deployment/dns-settings-dep91d2eb26/web) so the resolver cannot be quietly swapped, and the category wall stays where you built it. **Screen detection for the rest.** Whatever slips the category, a site registered this morning, a generator chat inside [an in-app browser](/journal/block-hidden-in-app-browsers-and-webviews/), a result re-served [through a proxy](/journal/block-porn-even-with-vpn-or-proxy/), still has to render its output on your screen to be worth anything. That is the chokepoint that cannot move: [on-device screen detection](/journal/blockers-that-detect-explicit-content-on-screen/) reads the rendered image or video and closes the window in under 80 milliseconds, with nothing uploaded anywhere; speed matters because the eye extracts an image's meaning in [as little as 13 milliseconds](https://pubmed.ncbi.nlm.nih.gov/24374558/), so the close has to land inside the same instant. Against generated content, judging the output is the only test that always works, because the output is the product. **Then make it stick.** Both layers live or die by [tamper resistance](/journal/tamper-resistant-porn-blocker-that-survives-weak-moments/): a category filter you can toggle off is a suggestion. Lock the settings behind a passcode someone else holds and let the self-healing layer keep the stack alive on the bad night. ## The chat-bot variant A growing share of this category is not a website at all but a chat interface that produces explicit images or text on request, sometimes inside apps whose store listing looks harmless. Three moves cover it: lock app installs so new chat apps cannot quietly arrive, block the NSFW-AI and companion-bot categories at DNS, and rely on the screen layer for whatever is left, generated text and imagery render like any other content, and the watcher does not care that a bot made it. The honest note: text-based erotica from a general-purpose assistant is harder to category-block than image output, which is exactly why the screen layer reads words too. ## What this is not No tutorial here on which generators exist, where they live, or what they cost: naming routes is how a defense page becomes a directory. The map matters less than the chokepoints, the network you control and the screen you look at, and both are coverable today with free tools. If your relapses have shifted toward generated content, treat it as the same loop with novel bait, the [same playbook applies](/journal/how-to-stop-watching-porn-a-real-method-that-works/), and the wall just needs its newest section. ## Frequently asked questions ### How do I block AI sites that generate inappropriate pictures? Block the NSFW-AI category at DNS level so the known mass dies on arrival, then run on-device screen detection for the sites too new to be classified, the rendered output gets judged no matter the domain. TKO'T does both, free, on Mac and iPhone, with the settings locked behind tamper resistance so the wall survives a weak moment. ### How do I block deepfake and undress sites permanently on a Mac? Three layers: category-level DNS blocking with the resolver pinned, an on-device screen watcher that closes the window when explicit output renders, and a non-admin daily account so none of it can be quietly dismantled at night. Permanence comes from the stack, not from any single list staying current. ### Can a blocker really catch a generator site that launched yesterday? At the address level, no, nothing can blocklist a domain it has never seen, and honest tools admit it. At the screen level, yes: a brand-new site still has to render its explicit output to be used, and render-time detection judges the content itself. That is why screen-layer coverage is the non-negotiable half of this defense. ### What about AI chat bots that make explicit images inside apps? Cover the route and the result: lock app installs so new bot apps cannot appear unvetted, block companion-bot and NSFW-AI categories at DNS, and let the screen layer handle output inside any app or webview. Generated content renders like all content, which makes the screen the one chokepoint a chat interface cannot route around. ### Is generated content even a real relapse risk compared to regular sites? Yes, treat it as the same loop with newer bait: the novelty is the hook, and the unlimited-supply framing makes it worse for some people, not better. The defense stack is identical, category blocking plus screen detection plus tamper resistance, and the recovery method does not change either: close the route, note the trigger, keep going. --- Source: https://tkot.com/journal/block-nsfw-ai-image-generators-and-deepfake-sites/ Author: Arya Stark