A regular browser like Opera or Firefox exposes all the user’s technical data to advertising platforms: IP address, device specifications, system settings and so on. With this set of characteristics, it’s easy to identify who the data belongs to and link multiple accounts together.
An antidetect browser, on the other hand, spoofs the device’s technical parameters, masks the real IP and creates a new digital identity that looks like a completely separate user.
Those who work with affiliate programs, including the adult niche, know that accounts are disposable. That is why they get banned and disappear. An antidetect browser solves this problem: it allows you to create hundreds of profiles quickly and use them as if they belong to different people. For an affiliate, this means stability: fewer bans, more active accounts and higher profits.
We are here to explain why antidetect browsers are used in adult traffic, which parameters they spoof and how it all works.
Why One Needs an Antidetect Browser in the Adult Niche
When working with traffic for OnlyFans, you may need a large number of accounts to achieve better results and boost profits. Some social networks, such as Twitter and Instagram, are built around mass strategies: sending messages, mass liking and reposting. For that you need dozens, sometimes even hundreds of separate profiles. That’s exactly where an antidetect browser comes in.
It allows you to safely manage a large number of accounts from a single computer without getting blocked. Each profile can be customized so that the advertising platform sees it as a completely separate user: it gets its own unique IP, device, browser, cookies, geo and language settings. Without this, any attempt to scale is doomed to fail.
In practice the scheme looks like this: several model accounts are created, for example on X (formerly Twitter), where you publish content, repost, participate in SFS groups or chat with users. Some accounts warm up the audience, others test offers, while others convert traffic into paid subscriptions.

Without multiple accounts, a traffic master cannot:
- Quickly identify the most profitable strategies;
- Test different approaches to warming up the audience;
- Maintain a steady flow of subscribers across several models at once.
In short, multiaccounting is a basic requirement for stable earnings in the adult niche. The more accounts you have at your disposal, the easier it is to scale and increase revenue without being tied to just one platform or traffic source.
At the same time, platforms actively fight against multiaccounting: a large number of artificial profiles interferes with their internal analytics systems, lowers traffic quality and most likely violates monetization rules.

The main reasons for bans include:
- Using the same device or IP for multiple accounts;
- Similar actions or repetitive behavior that algorithms flag as suspicious;
- Rapid creation and mass use of accounts for promoting offers;
- Violating content publishing rules or spamming in direct messages and comments.
Without an antidetect browser, working with multiaccounting becomes very risky: regular browsers and IPs are quickly detected, accounts get banned and income drops sharply. The more tools you have for safely managing profiles, the more stable your traffic will be and the higher your earnings.
How Platforms Identify Accounts and What an Antidetect Browser Does
Online platforms track users not only through logins and passwords, but also via a digital fingerprint which is a unique set of browser and device characteristics. This fingerprint helps systems recognize a specific user during repeat visits, detect suspicious activity and block them.
The Dolphin Anty antidetect browser spoofs the digital fingerprint with a fake one so that websites see not the real user, but a safe alternative “identity.”
The key parameters you should pay attention to include:
User-agent is the browser identifier that shows a website which browser, version and operating system you are using. Today almost all browsers use identical or very similar user-agents and each operating system usually has just one. That’s why it is not recommended to invent your own values here. It’s also better not to use user-agents from account sellers as they often are perceived as red flags.

The most reliable option is to keep the user-agent that is suggested by the antidetect browser when creating a profile. It generates this parameter based on real Google Chrome user-agents, ensuring it’s always up to date and allows the website to see a legitimate-looking browser without raising suspicion from antifraud systems.
Proxies and IP address. A user’s IP reveals their location and internet provider. You can add any type of proxy, substituting them for your real IP so that the website sees access from the correct geo. This is especially important when working with multiple accounts or testing offers in different regions.

Cookies are small files that websites store on a device to remember sessions, preferences and user actions. Handling cookies correctly is crucial: if you use the same cookies across different profiles, the platform will easily detect multiaccounting.

You can also upload cookies to profiles and generate them using a cookie robot. The robot visits specified websites in the background and collects cookies. As a result, you get accounts that are completely isolated from each other.

WebRTC is a technology for real-time transmission of audio, video and data. The main issue is that WebRTC can reveal your real IP address even when you’re working through a proxy. Previously, Dolphin Anty intercepted only standard requests via UDP, but some websites use more advanced verification methods, such as STUN over TCP which is a special protocol for detecting an external IP address. In the new version of the browser, substitution has become comprehensive: the IP is replaced at the stage of creating a WebRTC candidate, both for UDP and TCP. As a result, websites only see the substituted IP, while WebRTC functionality remains intact.
Dolphin Anty has also introduced a new WebRTC mode — “Disable UDP.” This mode completely disables the transmission of UDP traffic, enhancing protection against WebRTC leaks and providing strict control over a profile’s network activity. This is especially important when working with antifraud systems or when using proxies that don’t support UDP.

Time zone and language. These parameters show websites the system time and language settings of the device. The browser automatically adjusts them to match the proxy, so the profile appears natural. A mismatch between IP and time zone can raise suspicion from antifraud systems, so it’s important that they are synchronized.
Screen and resolution. Websites collect screen resolution data to track devices. The program allows you to change it, making the fingerprint more unique.
WebGL. This parameter transmits the characteristics of your graphics card and drivers through the browser. The browser can replace these values with close to real ones or just keep the real ones to avoid raising flags with antifraud systems.
CPU and memory. Websites can access information about the number of processor cores and device memory. The system allows you to display either real or generated values that are consistent with other profile parameters so the profile appears natural.
MAC address. A unique identifier for a network device. An antidetect browser can replace it with a random one to hide the real device and fully isolate profiles from each other.
Device name. The name of the device in the operating system. Replacing it prevents profile overlaps and makes each profile unique.
It’s important to understand that these are just the main characteristics most commonly monitored by antifraud algorithms. In fact, Dolphin Anty can spoof many more parameters, including graphics, media devices, geolocation and more. Together, all these settings create a full and realistic digital fingerprint for each profile.
Conclusion
The approach of spoofing digital fingerprints in antidetect browsers is especially useful for the adult niche: it allows working with multiple accounts, bypassing blocks and antifraud checks, and testing offers in different regions. This level of control over fingerprints reduces the risk of bans and data leaks, making operations more stable and secure.