The old logic of government internet blocking used to be simple: there was a list of banned websites and their IP addresses, and ISPs were ordered to block them. A user installed a VPN, changed their IP address, and was back online. A game of cat and mouse, but at least the rules were clear.

That logic is outdated. Not because governments have abandoned internet blocking, but because they have learned to strike earlier — not at the website, but at the tool you use to access it.

From Blocking Addresses to Identifying Protocols

IP blocking is the cheapest and crudest form of internet censorship. It is relatively easy to bypass, and a single IP address may serve many websites on the same cloud platform or CDN. As a result, blocking one prohibited resource can take completely unrelated services down with it.

The next level is protocol identification. DPI, or deep packet inspection, analyzes not only the destination address but also the structure of the connection: the transport protocol, packet sequence, handshake characteristics, and other metadata.

Standard configurations of many VPN protocols leave recognizable fingerprints. OpenVPN can be identified by characteristics of its control channel and TLS handshake. WireGuard uses encrypted but structurally predictable messages over UDP. IPsec is often visible through IKE and ESP. A filtering system can terminate the connection during the handshake or immediately after the first few packets.

This is no longer about blocking a specific website. It is about blocking an entire class of tools.

Obfuscation and Its Limits

Obfuscation is the industry’s response to protocol identification. Its purpose is to conceal the distinctive features of a tunnel or make the connection resemble permitted traffic.

For example, VLESS can be used with TLS, REALITY, and other transport mechanisms to reduce its visible differences from a regular web connection. It is important to understand that VLESS does not turn traffic into HTTPS or make it invisible by itself. Everything depends on the specific configuration and the connection’s behavior. The goal is to make that traffic statistically harder to distinguish from ordinary HTTPS without generating large numbers of false positives.

Another detection method is traffic behavior analysis. Even without decrypting the contents, a system can examine packet sizes, direction, timing, connection duration, and patterns of activity. These models do not prove that a connection is using a VPN; they estimate the probability. Researchers have shown that the structure of the first few packets, bit distribution, and entropy can sometimes be enough to passively detect certain fully encrypted proxy protocols.

These methods do not replace one another — they complement each other. A modern filtering system may simultaneously use DNS blocking, IP blocklists, SNI analysis, protocol signatures, statistical heuristics, and active probing.

Active Probing

Passive analysis can be supplemented with active probing. The system first flags a connection or server as a potential circumvention tool, then connects to that address itself and sends specially crafted requests.

Research into the blocking of Shadowsocks found that China’s firewall first analyzed the size and entropy of initial packets, then sent random requests to the server and partially replayed previously observed connections. The server’s response helped confirm that it was a proxy, after which the address or port could be blocked.

It is a two-stage system: suspect first, verify second.

How the Logic of Regulation Is Changing

In some countries, the logic of regulation itself is changing. Technically identified VPN traffic is no longer treated as proof of a violation, but it can be enough to trigger blocking or additional scrutiny.

In February 2024, Iran’s Supreme Council of Cyberspace banned the use of unauthorized tools for circumventing internet filtering. The legal status and practical enforcement of the ban remained unclear, however. Human rights advocates noted that the ban did not automatically expose users to criminal liability.

This model divides circumvention tools into those approved by the state and those that remain independent. Approval says nothing by itself about a service’s technical security. It does mean that access depends on rules established by the same government that controls the filtering system.

What Architecture Can Do About It

A conventional VPN with a limited pool of servers is vulnerable on several levels. Server IP addresses can be discovered and added to blocklists. The protocol can be identified. Domains and app distribution channels can be blocked. The company itself can face legal pressure.

A decentralized architecture does not eliminate these risks, but it distributes them. When traffic passes through many independent nodes and the network does not depend on a single gateway, blocking it through a stable list of IP addresses becomes more expensive and less effective.

Decentralization and obfuscation solve different problems. The former makes the infrastructure harder to block; the latter makes the protocol harder to identify. Thousands of nodes will not help if all their traffic shares the same recognizable signature. Good obfuscation will not help if every connection leads to five servers that have long been known.

The goal of this architecture is not absolute invisibility. It is to eliminate the single point whose failure or blocking can take down the entire network.

A Race With No Finish Line

This race has no finish line, and neither side holds a permanent advantage. Governments control ISPs and the last mile of the connection. Circumvention tools try to blend in with permitted traffic and increase the cost of blocking them.

The central question is how much collateral damage the filtering authority is willing to accept. If blocking VPNs also disrupts popular cloud services, video calls, and corporate connections, the cost becomes high. If the government is willing to block all unrecognized traffic and allow access only through a whitelist, the advantage shifts back to the state.

What This Means in Practice

If you live or work in a country with active internet censorship, simply choosing a well-known VPN is not enough. You need to know whether it supports obfuscation, how it updates server addresses, whether it provides fallback connection methods, and whether it can continue working when standard protocols are blocked.

A conventional commercial VPN with a public server list and a standard configuration may not withstand aggressive filtering. That does not necessarily mean the service is bad. It means its architecture was designed primarily for privacy and changing your virtual location — not for resisting government-level DPI.

Local law also matters. Being technically able to connect and being legally safe when doing so are two different things.

To a modern filtering system, VPN traffic can become a target simply because it looks like VPN traffic.

Circumvention tools must therefore do more than encrypt the contents of a connection. They must also reduce the number of signals that reveal the tunnel itself. No protocol is completely invisible. But detection can be made expensive and unreliable, while blocking can be made damaging to ordinary traffic.

Sometimes a VPN’s best defense is to stop looking like a VPN.

Aaron, RaccoonLine

Youtube | Twitter | Learn | Earn

Two people open the same website. One sees the content immediately. The second gets an age verification form. The third sees a message saying the content isn’t available. Same address. Different internet.

For a long time there was an idea of an open global internet: the same YouTube in Tokyo and Nairobi, the same Google in Berlin and Bangalore. The core internet protocols don’t draw national borders. But laws, providers, and platforms do — and with every year, more visibly.

That idea never worked perfectly. But before, the differences were considered exceptions. Now they’re quickly becoming the norm.

Splinternet isn’t a term from a dystopia. It’s a description of what’s already happening.

What it actually means

Splinternet (from split + internet) is the fragmentation of the global network into national or regional segments, each with its own rules, filters, platforms, and infrastructure.

Fragmentation comes in two forms: hard and regulatory. In the first case, a state blocks services, filters traffic, or disconnects a country from the external network. In the second, the same site keeps working but shows different functions, content, and access methods depending on the user’s jurisdiction. These are different phenomena, but both lead to the same result: one address — different internet.

What already exists

China is the most mature example. The Great Firewall has been taking shape for more than twenty years. Inside it, a parallel ecosystem has grown: WeChat, Weibo, Douyin, Bilibili, and Baidu. This isn’t just a set of blocks — it’s a parallel digital infrastructure with its own economy, algorithms, and moderation rules. Foreign services that want to operate on the Chinese market must meet local requirements around data, licensing, and censorship — if they’re allowed in at all.

Iran is developing the National Information Network — NIN, also known as SHOMA — an internal infrastructure capable of continuing to operate with limited access to the global internet. In 2026, the country experienced a near-total disconnection from the external network lasting about 88 days. Users were left with mainly controlled domestic services. This is no longer just site filtering — it’s the existence of two internet layers: national and global.

Russia sharply accelerated network fragmentation after 2022. Thousands of resources have been blocked, some Western platforms left the market, and the “sovereign internet” infrastructure allows the state to centrally filter and reroute traffic. Full isolation hasn’t arrived yet, but the technical and legal mechanisms for an increasingly autonomous Runet are steadily expanding.

The United Kingdom shows what regulatory fragmentation looks like. Since July 2025, sites and apps that allow certain adult content are required to use effective age verification — through a document, a bank card, or facial age estimation. The same service may load freely in one country but require a document photo or a facial scan in another. There’s no national firewall, but a distinctly British version of the internet is already emerging.

The European Union is another example of regulatory fragmentation. GDPR sets separate rules for the processing and international transfer of personal data, while the DSA introduces transparency requirements for platforms, moderation, advertising, and user protection. The EU isn’t building a national firewall, but it is creating its own normative version of the internet — one where services operate differently than in the US or Asia.

Turkey, Pakistan, and India practice regional and temporary shutdowns — blocking platforms during protests, elections, and attacks. This isn’t permanent isolation, but a growing willingness to use the internet as a tool for managing situations.

The United States is not an exception. The law requiring the separation of American TikTok from Chinese ByteDance under threat of a ban ended with a separate US-focused entity being created. Restrictions on Chinese technology, export controls, and sanctions show that Washington also participates in network fragmentation — it just explains it through national security rather than digital sovereignty.

Why this is happening

States have discovered that the internet is infrastructure, not a natural force. And infrastructure can be managed.

States explain restrictions differently: some cite fighting extremism, others cite protecting children, data, and democracy. But the underlying interest is the same for all: controlling infrastructure, information flows, and user behavior. What differs is not the intention to control, but the acceptable scale of that control and the society’s ability to resist it.

Every state loves an open internet right up until the word “open” starts to mean “uncontrollable.”

Plus economics. National platforms protected from some foreign competition gain an enormous advantage. China demonstrated that political isolation combined with a large domestic market can produce a self-sustaining technology ecosystem. Other states noticed.

What this means for users

The same internet delivers different experiences depending on where you physically are. Content available to you is unavailable to someone in another country — and vice versa. Platforms adjust their algorithms and moderation rules to meet local regulatory requirements.

A person who moves from one country to another discovers that the internet they knew has changed — not because they changed, but because their geolocation did. Expats, travelers, and people working with teams across countries run into this constantly. The same service, the same subscription — different catalog, different features, different restrictions.

Where this is going

The trend is durable. More countries are passing data localization laws. More governments are building infrastructure for filtering and isolation. More platforms are adapting their products to local requirements — because otherwise they lose the market or their license.

The global open internet as an idea isn’t dead — but as a reality it’s shrinking. What looks like an exception today may be the standard in ten years.

What a VPN does with this

A VPN can’t stitch the fractured internet back together. It won’t help if the external connection is cut, and it won’t override restrictions tied to an account or identity documents.

But as long as a global connection exists, a VPN gives the user back some control: it lets you change your network exit point, bypass provider-level restrictions, and access services whose availability is determined by geography.

In a world of splinternet, that’s no longer just a privacy tool. It’s a way to choose for yourself which version of the internet you connect through.

Aaron, RaccoonLine

So, the movie version: someone in a hoodie sits in a café, types furiously, and thirty seconds later has the passwords of everyone connected to the same network on their screen. Scary, dramatic, and almost entirely wrong.

The real risk of public Wi-Fi looks different. It’s less dramatic and almost never about a hacker sitting next to you — it’s about the infrastructure your traffic passes through, and what can be done with it without any hoodie required.

What got harder since 2010

The classic public Wi-Fi horror story appeared when most of the internet ran over unencrypted HTTP. In that world, someone with a laptop in the same café really could capture your traffic — see which sites you visited, what passwords you sent, what you were reading.

A lot has changed since then. Today almost all of the web runs over HTTPS with TLS encryption. That means even if someone intercepts your traffic on an open network, they see a stream of encrypted data, not passwords in plain text. Man-in-the-middle attacks on HTTPS require either a serious implementation flaw, a user error like accepting a suspicious certificate, or specific conditions that rarely come together in a random café.

Classic MITM on public Wi-Fi today — not impossible, but not routine.

Where the real risks remain

The network operator sees where you’re going, even through HTTPS. TLS encrypts the content of requests, but not the fact that you connected to a particular domain. The Wi-Fi operator can see your DNS queries (unless you’re using DNS-over-HTTPS or similar), the addresses of servers you connect to, and the SNI in the TLS handshake — part of the map of where you go remains visible. The content itself is encrypted, but the destinations aren’t.

Fake access points. Setting up a Wi-Fi network named “Coffee_Shop_Free” and waiting for people to connect is trivial. A device may connect automatically if the fake access point mimics a previously saved network — using the same name and compatible security parameters. Through a fake point, the operator can redirect traffic, serve phishing pages, and collect metadata — everything a real network operator can do, plus none of the legal obligations.

Outdated devices and apps. Some public Wi-Fi problems have nothing to do with the network itself and everything to do with what’s on your device. An app that still uses HTTP, an IoT device with a vulnerability in its protocol stack, an old backend that doesn’t properly verify certificates — all of these create points where traffic can be exposed even in 2026.

Local attacks on the device. On an open network without client isolation, devices can directly see each other — creating opportunities for scanning, attempting to connect to shared resources, and exploiting vulnerable services on a phone or laptop. Not a universal scenario, but a real one.

What a VPN does — and doesn’t do

A VPN encrypts traffic between your device and the VPN provider’s server. In a public Wi-Fi context, that means the network operator no longer sees where you’re going — they see an encrypted tunnel to the VPN server, and that’s it.

This closes most of the real public Wi-Fi risks: operator surveillance, fake access points collecting metadata, some of the local attacks based on traffic analysis.

What a VPN doesn’t do: it doesn’t protect against what’s already on your device, doesn’t save you from phishing pages if you enter your data there, and doesn’t fix vulnerable apps. It also shifts trust from the Wi-Fi operator to the VPN provider — which, depending on the technology and configuration, may be able to see connection directions and associated metadata.

What’s actually worth doing

Use a VPN on public networks by default. The simplest effective action. No technical skill required, works on most public networks, and closes the bulk of real-world scenarios.

Don’t connect automatically to networks with familiar names. Turn off auto-connect in your Wi-Fi settings. Go through your list of saved networks and remove ones you haven’t used in a long time — your phone shouldn’t try to connect to “Airport_Free_WiFi” just because you were at an airport once.

Pay attention to browser warnings about certificates. If a site you normally use suddenly shows a warning about an invalid certificate — that may be a MITM attempt. Don’t click “Proceed anyway.”

Keep your system and apps updated. Most real public Wi-Fi risks exploit vulnerabilities that are already patched in current versions. A device with a year-old updates is a far bigger problem than the open network in the café.

Turn off access to shared resources when on a public network. File shares, AirDrop set to “Everyone,” network printers — anything that makes sense only on a home network becomes an entry point on a public one.

What’s worth remembering

Movies exaggerate the hoodie-in-a-café threat because it’s visually dramatic and easy to understand. Reality is less cinematic and closer to home: the infrastructure your traffic passes through always belongs to someone and always sees something — the question is just what, exactly, and how much that matters for what you’re doing.

Public Wi-Fi isn’t a death sentence or the main threat in modern digital life. It’s one of those situations where it makes sense to switch on an extra layer of protection, keep using your services as normal, and not stress more than the situation calls for.

Aaron, RaccoonLine

Youtube | Twitter | Learn | Earn

So, you’ve installed a VPN on your phone. Or your laptop. Or both. You open the app, hit the button, the green indicator lights up — and it feels like the whole home is now protected.

The home isn’t. The VPN covers the device it’s running on. Everything else connected to your Wi-Fi — the TV, the smart speaker, the robot vacuum, the gaming console, the smart lights, the baby camera — still goes out to the internet directly. Your provider sees their individual connections, and the services they reach see the public IP of your router. More information about your home activity than you might have assumed.

The difference between a VPN on a device and a VPN on a router is the difference between covering one point and routing your entire home network through a shared VPN tunnel. And it’s noticeably larger than it looks.

What a VPN on a device does

A VPN app on your phone or laptop encrypts traffic from that specific device. Everything going out from the browser, apps, and background processes on that one device passes through the VPN tunnel. For sites and services, the traffic looks like it’s coming from the VPN server’s IP, not your home address.

This works as long as the VPN is on and configured on that device. Your partner’s laptop next to you, the TV in the living room, the console in the bedroom — none of their traffic goes through this VPN at all.

The advantages are obvious: easy to install, one button to connect, works on the road and in cafés equally well, can be switched off quickly when a specific site or service doesn’t cooperate.

The downsides are less visible but more numerous. Every device needs to be set up separately. IoT devices and smart TVs don’t support installing a VPN client. Traffic from devices that can’t install apps simply doesn’t go through this VPN.

What a VPN on a router does

A VPN configured at the router level routes the traffic of your entire home network through a shared VPN tunnel. Every device connected to your home Wi-Fi — phone, laptop, TV, console, smart speaker, lights, cameras — goes through the tunnel automatically. No apps needed on the devices themselves.

Your provider sees a connection to the VPN server and the traffic volume, but not the usual list of final services your devices are talking to.

This is a convenient way to get VPN coverage for devices that can’t have a client installed: a smart TV that may send data about what you’re watching, a smart speaker that talks to the manufacturer’s servers, a gaming console with no built-in VPN support.

But the router solution has its own limitations. Setup is more involved — you need a router that supports VPN on the right protocol, often with updated firmware. Speed can drop because of the router’s processing power, the chosen VPN protocol, server load, and the fact that all home traffic is passing through one tunnel. The VPN only works at home — in a café or on the road, devices go out directly again and you need a client separately.

Which devices stay outside the VPN

If VPN is only on your phone and laptop, here’s what’s happening in parallel while you feel covered.

Smart TVs. Some smart TVs may send data about viewed content and used apps, including through ACR (Automatic Content Recognition) technology that reads what’s on screen. This can happen even when watching through an antenna or playing a file from a USB drive.

Smart speakers and voice assistants. Regular connections to manufacturer servers, audio fragments sent to the cloud for recognition, metadata about how often you interact with the device.

Gaming consoles. Region-specific content, regional pricing, telemetry. Your provider can see connections to gaming services and activity times.

IoT devices. Smart bulbs, outlets, thermostats, scales. Each talks to the manufacturer’s cloud. Some devices have weak security or use outdated protocols.

Cameras and security systems. Often stream video to cloud servers. Depending on the device and cloud architecture, the manufacturer may have access to the content.

None of this is touched by the VPN app on your phone.

The combined approach

The realistic solution for most people isn’t either/or — it’s both.

A VPN on the router routes through the tunnel everything at home. IoT, smart TVs, consoles, anything that can’t have VPN installed — it all goes through the shared tunnel. Your provider sees a connection to the VPN server, not individual requests from dozens of devices.

A VPN client on phone and laptop — for use outside the home. Cafés, airports, hotels, public Wi-Fi, mobile data. The router doesn’t help here.

Some VPN providers let you cover both the router and individual devices under one subscription. Worth checking your specific router model for compatibility before committing — not all routers and firmware work equally well with VPN.

What’s worth remembering

If you have even one device at home that can’t run a VPN client, and you want its traffic to pass through a VPN so that external services don’t see your home IP — a router-level VPN is the only option. A phone app simply can’t help here.

A VPN on a device covers one device. A VPN on a router routes the whole home network’s traffic through the tunnel. These two can complement each other, but neither provides complete protection on its own.

Aaron, RaccoonLine

Youtube | Twitter | Learn | Earn

So, you land on any of the many sites that greet you with a banner and two buttons. “Accept All” is large and bright. “Reject” or “Manage Preferences” is small and gray. You tap the first one because the second requires attention you don’t have, and you keep reading.

By clicking Accept All, you’ve allowed the use of non-essential cookies and the data processing tied to them. What exactly you agreed to hand over — most people never check, and if you try, it turns out to be noticeably more than it looks at first glance.

What sits behind one button

One click on Accept All can allow the loading of many third-party services: advertising platforms, analytics systems, personalization tools, and effectiveness measurement services.

Access to your data can go to the third-party services and partners listed in the consent settings or the privacy policy. Some of them are present on other sites too — sites where you’ve given similar consent before — which lets them link your activity across different resources.

Formally, information about these companies is usually available in the settings or the privacy policy. But the mere existence of a list doesn’t mean the consent was obtained lawfully.

“Legitimate interest” and other fine print

If you open the consent settings — the harder option that requires attention — you’ll often find that many items can’t be turned off with a single motion.

In the advanced settings, some companies may claim legitimate interest as the basis for certain types of data processing. However, when consent is required to store or read data on your device, legitimate interest doesn’t replace it.

The design of some banners nudges the user toward consent: the Accept All button stands out more, and refusing requires additional actions — sometimes several screens and turning off items one by one.

What actually gets transferred

After consent, the site and the connected services may receive your IP address, device identifiers, information about the pages you viewed, clicks, time spent, and where you came from.

If a site is connected to an advertising network, the collected data can be combined with information the same network gathered on other resources. That’s how a behavioral profile is built — one that can persist across sessions and link activity across different sites. If a user is signed into one account across multiple devices, data can sometimes be linked between them too.

Particular risks arise when the collected data directly reveals or allows inferences about a user’s health, political views, religion, or sexual orientation. Additional restrictions apply to that kind of processing under Article 9 of the GDPR.

What you can do in five minutes

You can’t fully avoid cookie banners, but you can noticeably reduce the amount of tracking.

Don’t tap Accept All out of habit. If the banner offers “Reject” or “Necessary Only” — pick that. A few seconds to refuse is a small price for not handing your data to additional ad platforms.

Install a tracker blocker. Specialized extensions can stop many known advertising and analytics scripts from loading in the first place. A blocker complements refusing non-essential cookies, but doesn’t replace it: some collection methods can work at the site level or bypass standard block lists.

Use your browser’s settings. Modern browsers let you block third-party cookies by default, delete them automatically when closing, and limit cross-site tracking. It doesn’t solve the problem completely, but it removes a significant part.

Separate your activity. Use a separate browser or profile with enhanced cross-site tracking protection. Splitting cookies and accounts makes it harder to link activity across different tasks.

What’s worth remembering

A cookie banner should give the user a real choice. But its design often nudges you to agree faster than to understand the consequences.

Sites and ad platforms have a commercial incentive to collect more consents, so the interface can be built in favor of the Accept All button. You have the right to refuse non-essential cookies, and doing so should be as easy as agreeing. On some sites, the interface clearly doesn’t help you make that choice quickly — knowing this doesn’t remove the banners, but it changes how you interact with them.

Aaron, RaccoonLine

Youtube | Twitter | Learn | Earn

There’s a specific misconception that’s worth pulling apart. It sounds like this: “I turned on incognito mode.” “I use a VPN.” “I’m on Tor.” “I’m anonymous now.”

Anonymity online isn’t a state you enter. It’s a specific relationship between what you’re trying to do and who might be watching. The same tool can provide strong anonymity against one kind of observer and none at all against another.

Security professionals have a term for this: threat model. Nobody’s threat model is “everyone.” What you actually need is protection against something specific — and once you name the specific thing, the choice of tool becomes obvious. Or at least manageable.

What each layer actually does

Every widely-used privacy tool operates at a different point on the spectrum. None of them is a general solution.

Incognito mode prevents your browser from storing local history, cookies, and cache after the session ends. That’s essentially all it does. It doesn’t hide anything from the site you’re visiting, from the network you’re on, from your internet provider, or from anyone doing traffic analysis. It’s built for a specific problem: someone else using your device shouldn’t see what you looked at. That’s a legitimate use case. It’s just not “anonymity.”

A commercial VPN hides your real IP address from the site you visit and encrypts traffic between your device and the VPN provider’s server. That’s meaningful — your internet provider stops seeing which sites you connect to, and the site stops seeing your real IP. A VPN doesn’t remove cookies, doesn’t protect against browser fingerprinting, and doesn’t make you anonymous if you’re logged into a personal account. It shifts part of the trust from your ISP to the VPN company, which depending on its technology and configuration can see the direction of your connections and their associated metadata.

A decentralized VPN solves one of the key problems of regular VPNs — reliance on a single provider and its centralized infrastructure. Instead of one company’s servers, traffic passes through a distributed network of independent nodes. This removes the single point of control and prevents any one centralized entity from managing the whole network and concentrating user data in its own hands. RaccoonLine is built on exactly this principle: control should stay with the user, not with a VPN company. That said, a dVPN handles the network layer of privacy — it hides your real IP and protects the connection, but doesn’t undo cookies, browser fingerprinting, or identification through accounts.

Tor is a tool for situations where anonymity matters more than speed or convenience. When browsing normally, traffic passes through a chain of three relays, so no single one sees both the user and the destination. That said, Tor is slower, and some sites block its exit nodes. It hides your real IP, but not the identity you reveal yourself — for example, by logging into your account.

Every one of these tools solves a different problem. Choosing between them without knowing what problem you actually have is like buying a lock without knowing which door.

What “anonymous” means depends on who’s asking

Who you’re trying to stay anonymous from determines what “anonymous” actually means in your situation.

Against your internet provider — a VPN or dVPN hides which sites you connect to. The provider sees the encrypted connection to the VPN network, its duration and traffic volume, but not your final destination. A dVPN also removes reliance on any one VPN company’s infrastructure.

Against the site you’re visiting — a VPN hides your IP, but if you log in, they still know who you are. If you don’t log in, they can still likely fingerprint your browser. A browser with fingerprint protection paired with a VPN reduces the number of signals available to the site, but doesn’t guarantee full anonymity: the site can still analyze account activity, behavior, and other identifiers.

Against advertising networks and data brokers — none of the tools listed above solve this problem fully on their own. You need to reduce fingerprinting signals, block trackers, opt out of what you can, and use search engines that don’t build profiles.

Against someone actively targeting you personally — this is where the threat model matters especially. A jealous ex, a stalker, or a disgruntled coworker may use not just network surveillance, but access to your device, accounts, location, and backups. A VPN protects the connection, but in this scenario you also need strong passwords, two-factor authentication, active session reviews, and protection of the device itself.

Against a well-resourced state adversary — Tor makes surveillance significantly harder, but doesn’t automatically guarantee anonymity. Logging into personal accounts, changing the default Tor Browser configuration, and consistent timing or behavioral patterns can help link activity to a specific person.

The tools don’t stack neatly. Combining more of them doesn’t automatically produce more anonymity — sometimes it just adds friction without changing what an observer can still see.

The mistakes that come from thinking of anonymity as a switch

Assuming a VPN handles everything. A lot of people install a VPN and treat the problem as solved. It’s not. If you log into Google, Google knows exactly who you are regardless of your IP. If a site fingerprints your browser, it can recognize you across sessions and IPs. A VPN is one layer, not the whole stack.

Assuming incognito hides you from the site. It doesn’t. The site sees the same things it always sees. Incognito hides your activity from other people using your device, that’s it.

Assuming Tor is bulletproof. Tor is strong, but it’s not magic, and user behavior matters no less than the tool itself. If you log into your personal email through Tor, the service won’t see your real IP, but it will still recognize you by the account. Tor protects the connection path — it doesn’t erase the identity you reveal yourself.

Assuming “no logs” means untraceable. Most VPNs advertise no-logs policies. That’s a claim about the company’s stated behavior, not a technical guarantee. Even in the best case, it doesn’t eliminate everything else that identifies you.

Assuming more tools equals more anonymity. Tor, a VPN, a protected browser, and other tools can complement each other when each addresses a specific threat. But randomly stacking technologies doesn’t guarantee more anonymity, and non-standard configurations sometimes create additional identifying signals.

The useful question

Instead of asking “am I anonymous,” ask what you’re actually trying to protect, from whom, and how sensitive it is.

If you don’t want your ISP to see that you’re visiting a specific site — a VPN is enough.

If you don’t want an advertising network building a long-term profile on you — you need fingerprint reduction, tracker blocking, and awareness of what you’re logged into.

If you’re doing something where identification would be actually dangerous — you need Tor, careful operational discipline, and probably a threat model that’s specific enough to be useful.

Naming the specific thing you’re protecting against turns anonymity from an aspiration into a design problem. Design problems are solvable. Aspirations aren’t.

Aaron, RaccoonLine

Youtube | Twitter | Learn | Earn

So, there’s an entire industry that has your name, your address, an estimate of your income, an inferred family status, interests around health topics, likely political leanings — and many other characteristics about you, some factual, some inferred from indirect signals. Most people have never heard of it.

Its customers are ad platforms, analytics companies, risk assessment services, debt collectors, people-search sites, and in some cases government agencies. Its raw material is you.

These companies are called data brokers. Most of the time you don’t interact with a broker directly and won’t know your data has been passed along, though the transfer can formally be permitted by the privacy policies of services you use.

What a data broker actually does

A data broker is a company that buys, collects, combines, and sells information about people. Some do it openly, with a website, product descriptions, and a sales pitch aimed at businesses. Others operate more quietly, as internal infrastructure inside advertising and analytics systems.

Here’s how it works. You sign up for a supermarket loyalty program, install a weather app that asks for location access, use a browser extension, pay for something with a card at a retailer with data-sharing partnerships, fill out a survey in exchange for a giveaway entry. Sources aren’t limited to the internet — they include public records, property databases, catalogs, surveys, licensed data feeds, and information from other brokers.

The privacy policy of any individual service may allow certain categories of data to be shared with advertising, analytics, and commercial partners. Brokers can be among those partners.

The broker tries to link fragments to a single person or household. The result is a more detailed profile than any individual source held. That said, the data can be outdated, incomplete, or incorrect — one company may hold several inconsistent profiles of the same person, and some information may belong to someone else entirely.

What actually ends up in your profile

The mix varies, but the typical categories look like this:

• Basic data: name, past addresses, phone numbers, email addresses.
• Demographics and finances: age, family composition, housing type, estimated household income.
• Consumer behavior: purchase categories, interests, browsing patterns.
• Profiling: likely political leanings, interests around health topics, lifestyle, and other sensitive areas.

Some of these characteristics are inferred from your neighborhood, subscriptions, purchases, or online behavior — they aren’t necessarily facts you shared about yourself. The word “inferred” matters: brokers sell a mix of facts, statistical outputs, probabilistic estimates, and errors, not omniscience.

Brokers offer clients ready-made audiences for targeting — publicly documented catalogs include segments with names like “financially challenged families” or groups defined by specific interests and consumer habits. Access to reports, profiles, or individual segments gets sold to a broker’s clients, and the terms of that access depend on the data type, the intended use, and applicable law. In the US, for example, use of consumer reports for decisions about credit, employment, housing, or insurance can fall under the Fair Credit Reporting Act and other regulations.

Why the industry is nearly invisible

Data brokers have no reason to raise awareness among individual users — their customers are businesses and organizations, not the people whose data they’re collecting. Regulation is fragmented. The US has no single comprehensive federal privacy law comparable to GDPR, though sector-specific federal rules and state laws exist. In the European Union, GDPR gives people the rights to access, correct, delete, and object to the processing of their data — applying those rights across a long chain of intermediaries can be difficult in practice, since the first step is figuring out which companies actually hold your data.

Most people encounter the consequences of the industry by accident — after doxxing, a leak, a fraud attempt, aggressive marketing, or an unusually convincing message from someone who already knows their address, relatives, and recent purchases.

What you can actually do

Wiping yourself off the internet probably isn’t possible anymore, but reducing the amount of data available about you is.

Send deletion requests. In some countries and regions, companies are required to review requests for access, correction, or deletion. You can submit these manually or through services like DeleteMe or Kanary. Worth understanding: opt-out doesn’t always mean full and final removal — a broker may keep a minimal record to avoid re-adding you, information can reappear from new sources, and removal services usually cover only a limited list of companies.

Limit new data creation. Don’t grant apps and sites unnecessary permissions. Periodically check which services have access to your accounts, location, contacts, and revoke what you don’t need.

Use a search engine with a more privacy-focused model. Privacy-focused search engines that don’t build user profiles can reduce the volume of data tied to your queries. These services use different technical and commercial models, so their protection levels vary. Changing your search engine won’t close the other profiling channels, but it removes one visible one.

Protect your network traffic. The site you visit and its connected advertising and analytics services can see your IP address and collect device signals. Some of that data is used to link sessions and profiles. Make sure to use a VPN to hide your home or mobile IP from the site you visit. Just remember: a VPN doesn’t eliminate cookies, account logins, browser fingerprinting, or other means of identification — we covered how to handle those in a previous article.

What knowledge changes

Data brokers are part of a large global industry closely tied to advertising, analytics, risk assessment, and people-search services. It runs in the background, mostly legally, and almost always invisibly to the people it’s built around.

But you can’t control what you don’t know exists. Understanding the system doesn’t make you invisible — it gives you something more practical: the ability to make deliberate choices about what data you generate, who you let collect it, and which channels you can close. You stop being just free raw material and become a participant in the exchange — someone who at least partly controls it.

Aaron, RaccoonLine

Youtube | Twitter | Learn | Earn

Say you open a new tab, load any website — and the site already knows a surprising amount about you, even though you didn’t log in, didn’t fill anything out, didn’t introduce yourself in any way. If it’s paying attention, that can be enough to recognize the same browser next time you visit, even after you clear your history.

This is browser fingerprinting — a technology most people have never heard of, despite being tracked by it every day.

What actually gets read

When your browser loads a page, it answers a series of quiet questions from the site’s code — questions that look technical and boring but combine into a digital fingerprint.

Your screen resolution. The set of available fonts, which sites can partially detect through indirect methods like comparing rendered text sizes. Your browser family and version, though modern browsers try to coarsen some of this data. Operating system, timezone, language settings. An approximate number of logical processors, a rough memory estimate, information about the graphics subsystem — to the extent the browser hasn’t hidden them.

Beyond that, more subtle signals. Canvas fingerprinting asks your browser to render a hidden graphic and measures tiny pixel-level differences in how your specific hardware and software combination produced it. Audio fingerprinting does the same with sound processing.

Any single signal means little on its own, but together they form a combination that can recognize the same browser or device across sessions — around cleared cookies, and sometimes through incognito mode.

How unique you actually are

The Electronic Frontier Foundation’s Cover Your Tracks project (formerly Panopticlick) measures how identifiable your browser fingerprint is against their sample. In EFF’s studies, a significant portion of tested browsers had a unique combination of parameters. Important caveat: the test measures uniqueness within Cover Your Tracks’ current sample, not across the entire internet.

The intuition that mainstream configurations blend into the crowd is often wrong. The moment you add any customization — an extension, a specific font pack, an unusual screen resolution — you stand out. Efforts to personalize your browser tend to make you more noticeable, not more protected.

One important detail: a fingerprint typically identifies a browser or device with some probability, not automatically your personal identity. To tie a fingerprint to a specific person, a tracker usually needs another signal — a login, an email, an ad network’s data, or an already-known profile.

Why this exists

Fingerprinting was originally developed as a fraud prevention tool. Banks and payment processors use it to catch someone trying to sign into an account from an unfamiliar device with stolen credentials — that use case is defensible.

Ad networks noticed the same technique had a second application: tracking users across sites without needing cookies, which are increasingly blocked. Fingerprinting works even when cookies don’t. Clear your history, switch to incognito, wipe your cache — the fingerprint stays the same. Private mode removes local session data, but it doesn’t guarantee a new fingerprint and doesn’t hide your IP.

Regulations like GDPR technically cover fingerprinting, but enforcement is inconsistent, and the practice is so deeply embedded in the ad tech ecosystem that most sites do it regardless of whether they should.

What actually helps

Blocking cookies alone doesn’t help — that’s exactly why fingerprinting exists in the first place. What works is reducing how distinctive your fingerprint is.

Use browsers with tracking protection.Brave randomizes some of the readable parameters, including canvas and audio signals. Tor Browser takes a different approach — it tries to make users’ configurations look as similar as possible through normalization, letterboxing, and User-Agent spoofing. Firefox has a `privacy.resistFingerprinting` setting that substitutes or coarsens various data, but it’s off by default and can break some sites.

Be careful with extensions.Not every one of them directly reveals itself, but some modify the DOM, network requests, or browser behavior — and that adds signals to your fingerprint. The paradox is that ad blockers protect you in one dimension while your list of installed extensions becomes an identifier in another.

Don’t chase perfect anonymity.The goal isn’t to disappear, it’s to stop being trivially identifiable at every step. Reducing your uniqueness by several times is achievable and meaningfully changes what can be built about you.

The layer underneath

Fingerprinting works on top of the network path your browser uses to reach the site. Every request also reveals your IP address, which on its own gives an approximate location and provider. One IP can be shared by many people, mobile IPs shift frequently, CGNAT exists — so IP alone isn’t a flawless identifier. But combined with a browser fingerprint and other signals, it improves the accuracy of session matching.

If you’re trying to actually reduce how identifiable you are, two things go together. Use a browser built to resist fingerprinting — it reduces the signals your device gives off. Then don’t forget the network layer: a VPN hides your real IP from the sites you visit, and picking one built around a decentralized architecture — like RaccoonLine — means you’re not just moving your trust from one company to another.

Neither of these alone makes you invisible. Together they remove enough signals that the profile a tracker can build about you gets meaningfully thinner.

Aaron, RaccoonLine

Youtube | Twitter | Learn | Earn

So, fraudsters rarely receive or move stolen funds through accounts directly tied to them. Stolen money and crypto need somewhere to land, need to pass through several intermediaries, need to gain distance from the organizer — and that intermediary is almost never the fraudster themselves.

The person who ends up in that intermediary role is usually someone ordinary — a student looking for extra income, someone without stable work, someone who answered an ad promising fast money for “just letting a couple of transfers pass through your account,” replied to a friendly new stranger on social media, or accepted a “remote job” with suspiciously easy terms.

How it works

The pitch is simple: rent out your bank account or your verified crypto profile, let some transactions pass through, keep a small percentage or a fee from each transfer. No technical skill required. It looks like easy money.

What actually happens is that stolen funds get routed through these accounts — from phishing operations, ransomware payouts, romance scams, BEC fraud, fake check schemes — to obscure the money trail and add distance between the victims and the organizers. The FBI defines a money mule broadly as a person who transfers illegally acquired money on behalf of someone else.

The account owner in this chain is called a money mule. Large sums flow through accounts controlled by people who don’t realize they’re part of a laundering operation, or who suspect something is off and convince themselves it’s not their problem.

It can become their problem. Banks and crypto exchanges monitor suspicious transaction patterns, law enforcement traces the money, and the trail often ends with the account owner. Organizers get identified and charged too — but they’re harder to reach, especially when they operate from abroad.

Who ends up paying, and how

The whole architecture is designed to keep the organizer out of sight for as long as possible. The mule tends to be one of the most easily identifiable links in the chain, though not the only legally accountable one — recruiters, intermediaries, shell company owners, and money exchangers can also be involved.

Criminal consequences depend on the jurisdiction and the specific charge. Depending on those, prosecutors may rely on evidence that a person knew what was happening or deliberately ignored obvious warning signs. Simply saying “I didn’t ask” may not protect someone who consciously avoided learning the truth.

An important caveat: not every unaware mule automatically becomes a defendant. Official agencies openly acknowledge the existence of unwitting mules — people who genuinely didn’t understand what they were participating in. Some receive warnings, some have their accounts frozen, some are treated as victims of a separate social engineering attack. Criminal charges usually depend on evidence of knowledge, intent, or continued activity after clear warnings.

That said, the consequences can still be serious. A conviction can create long-term problems with employment, financial services, immigration status, and background checks. Even without a conviction, an account can be closed, banking access restricted, or a name added to compliance databases that employers and partners consult.

What to actually do

Never lend, sell, or rent out your bank account, crypto wallet, or verified identity to run someone else’s transactions — no matter how the offer is framed, no matter how urgent the need for cash feels.

If a job listing asks you to receive money and forward it for a cut, it isn’t a job. If a new online connection asks you to accept a package or a transfer, it isn’t a relationship. If an investment opportunity requires you to pass someone else’s funds through your account, it isn’t an investment.

If you suspect you might already be involved. Stop transferring funds immediately. Don’t return or forward the money on your own — this can make the legal situation worse. Contact your bank or payment service through their official channels and explain what happened. Report the situation to your local police or the relevant fraud reporting agency. Coming forward early is generally treated very differently from being discovered after the fact.

Aaron, RaccoonLine

Youtube | Twitter | Learn | Earn

AI isn’t magic. It’s code following instructions. And any code that follows instructions can be convinced to follow the wrong ones.

This simple premise is the foundation of prompt injection and jailbreaks — two techniques that have quietly become a massive security headache as more companies rush to build products on top of Large Language Models (LLMs).

What’s Actually Happening Behind the Scenes?

Every AI chatbot operates under a set of built-in system rules — safety rails designed to tell the model what not to do, like leaking sensitive data, generating harmful content, or ignoring its core programming.

A prompt injection attack works by feeding the AI a highly specific, manipulative message designed to bypass these exact rules. Sometimes it masquerades as an innocent hypothetical scenario. Other times, the malicious instructions are buried deep within a massive document the AI was asked to summarize. It can even be a long, subtle conversation that grooms the model step-by-step into doing exactly what it was trained to avoid.

A jailbreak is a more aggressive variation. It’s a prompt specifically engineered to completely strip away the AI’s safety guardrails — often by convincing the model that it’s playing a character in a game, operating in a “developer testing mode,” or following a set of fictional rules that override its actual training.

When these exploits work, the fallout ranges from slightly embarrassing to genuinely dangerous. A customer support bot might leak proprietary company data, a model might generate fully functional malware, or a flaw in session isolation could cause a chatbot to leak the chat histories of completely different users.

Why You Should Care

Most people aren’t building AI products. But most people are pasting things into AI chatbots — questions, sensitive documents, code, and deeply personal details — assuming the conversation is completely private and isolated.

Often, it isn’t. But even when it is, the company running the chatbot is a massive target. If there is a vulnerability on their end, everything you’ve typed into that box is potentially exposed, regardless of how careful you were with your own device.

Treat every commercial AI tool like a public forum. Do not paste sensitive personal information, proprietary source code, client data, or anything under an NDA into a chatbot you don’t fully control. One successful breach on the company’s side, and your data is part of the leak.

What’s Next?

As AI agents evolve to handle autonomous tasks — like sorting your email, managing schedules, or running multi-step workflows — the attack surface grows exponentially. An AI assistant with access to your calendar, messages, and connected accounts is a much bigger target than a chatbot that just answers text prompts.

Worse, the instructions an agent follows don’t always come from you. They can come from a webpage you asked it to read or an email you asked it to process. If any of those external sources contain hidden malicious text, and the agent can’t distinguish between a “trusted user command” and “text it just read,” then everything that agent has access to is instantly at risk.

The Bottom Line

Be highly intentional about what you upload into AI tools. Assume that anything entered into a commercial chatbot could, under the right (or wrong) circumstances, become visible to someone else.

The exact same logic applies to your standard internet traffic. The less of your data travels out in the open, tied directly to your identity, the smaller of a target you become. RaccoonLine routes your connection through a decentralized network instead of a single, central server — a simple habit that shuts another door on potential exposure. It’s free, requires no account, and takes just a couple of minutes to set up.

Youtube | Twitter | Learn | Earn