🤑 Opinion Edge: How to Monetize Your Opinion (Without Getting Banned)

While some people mine crypto and others run gambling traffic, there’s a niche that quietly feeds thousands online — paid surveys and market research.

Today we’ll break down how to make money with Opinion Edge and avoid becoming a victim of its security system.

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🧐 What Is Opinion Edge?

In simple terms, it’s a bridge between big brands and consumers. Companies are willing to pay to learn what yogurt packaging color you like more. Opinion Edge aggregates these tasks.

The earning model is straightforward: you sign up, fill out your profile, take surveys — and get rewarded (usually in cash or gift cards, which are easy to cash out).

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0️⃣ But There’s One “Catch”

One account will get you “coffee money.” To turn this into real income, you need multi-accounting. But then the platform’s security team shows up on the horizon. Modern survey sites (and Opinion Edge is no exception) use strict trackers.

They flag you by:

• Hardware (Canvas, WebGL): If you log into 10 accounts from the same PC, even with different browsers — you’re a target.
• Network (IP + WebRTC + DNS): Cheap datacenter proxies won’t work here — you need quality residential proxies.
• Behavioral factors: Answers that are too fast or no “history” in the browser (cookies) = instant ban without payout.

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🏄‍♂️ How to Earn Systematically with Undetectable

To scale, you need every account to look like a unique, real person from a specific region (for example, the US or Europe — payouts are higher there).

Here’s how an anti-detect browser bypasses Opinion Edge protection:

✨ Core-level isolation
Undetectable creates a separate digital environment for each account. Cookies, cache, and local storage from one profile never overlap with another. To the site, you’re 50 different people — not one “smart guy” running an account farm.

✨ Proper fingerprint
No need to randomize everything. Our browser applies logical configurations: if your User-Agent says you’re on macOS, then your fonts and GPU will match an “Apple” setup too. This is critical for passing trust checks.

✨ Geo handling
Connect mobile or residential proxies directly in the profile manager. Undetectable automatically adjusts Timezone and system language to match the proxy IP. No WebRTC leaks — your real IP stays hidden.

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😎 Abusing Opinion Edge:

1. Prep: Buy quality residential proxies (for the GEO you need).
2. Set up Undetectable: Create a new profile. Pick a configuration that matches popular devices in that GEO.
3. Warm-up: Don’t rush into registration. Run the cookies bot — this boosts your fingerprint “Trust Score.”
4. Registration: Go to Opinion Edge, sign up, and fill out your profile as thoroughly as possible (more details = better surveys).
5. Scale: Create dozens of profiles and start earning.

❤️ Tip from us: Use notes inside Undetectable to store login data and account statuses. This saves tons of time when you manage a large grid.

📃 Also read our article for a full deep-dive

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Website | Download The Browser | Documentation

📈 A farm for airdrops and retrodrops from scratch

It’s 2026. Running 100 accounts on Coinlist or a new Tier-1 project from a single Chrome + VPN and still getting a drop is no longer an option.

Projects are ruthlessly filtering out sybils. If your accounts are exposed through browser fingerprints, you’ll simply waste money and time on transactions.

Many beginners think that building a farm means buying used laptops or renting dozens of servers. That’s expensive, slow, and inconvenient.

For a farm of 50, 100, or 500 accounts, all you need is one decent PC and proper fingerprint spoofing.

🚨 How to build a farm from scratch

Let’s break down step by step how to set up a farm and avoid getting banned

1. Proxies are the foundation of security

The first rule of farming: no free or datacenter proxies (IPv4/IPv6). The anti-fraud systems of crypto projects instantly detect server IPs and mark the cluster of accounts with a red flag. Use only static residential (ISP) or mobile proxies.

2. Setting up profiles in Undetectable

You don’t need to create each account manually. Open the browser and launch the “Mass Create” tool.

✔️ Fingerprint generation. The main spoofing rule: the operating system (OS) of the profile must strictly match the OS of your real device (Windows to Windows, macOS to macOS).

This eliminates technical anomalies during Canvas rendering and system font checks.

✔️ Structuring. Apply tags right away (for example, “Airdrop_ProjectX”, “Metamask_1-20”) so you don’t go crazy when scaling the farm.

✔️ IP binding. Upload the list of purchased proxies in .txt format and bind them to the generated profiles in one click. The browser will automatically pull the correct time zones and geolocations for each IP.

3. Isolation of crypto wallets

The most common mistake is getting exposed through extensions.

Undetectable has a built-in “Extension Manager.” You simply add the link to MetaMask or Phantom from the Chrome Web Store, and the browser automatically deploys the wallet across all profiles.

At the same time, each environment remains 100% isolated. Website scripts won’t be able to read data from neighboring extensions or link your wallets by hardware.

Use it!

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Website | Download The Browser | Documentation

🔤 Undetectable 2.44.0 Update

The Undetectable team has rolled out the new 2.44.0 release.

Today, we’re breaking down what’s inside and why it’s worth updating 👇

📱 Chromium 146

For an antidetect browser, an up-to-date core is the foundation of security. Anti-fraud systems on major platforms instantly react to outdated browsers, flagging them as suspicious.

Chromium version 146 means maximum trust. Your profiles blend in with millions of regular users, heavy scripts on websites run without errors, and your data is securely protected from leaks.

✅ “document.hasFocus()” option

We’ve added the “document.hasFocus() always true” option to the main settings. Now platform trackers will assume that the profile window is always active, even if it is minimized or covered by another window. Your processes and automation can safely continue running in the background without raising suspicion.

🖥 Custom CPU for a perfect fingerprint

Sometimes standard hardware presets are not enough to create a specific fingerprint. That’s why we removed the strict limits: now when creating a profile, you can manually enter absolutely any CPU value instead of selecting only from the dropdown list.

✅Important fixes:

— Traffic savings: We optimized the timer for checking Auto parameters. Previously, the IP address was checked too frequently, which caused unnecessary traffic consumption. Owners of limited mobile proxies will definitely appreciate this!
— Touchscreen stability: We fixed an issue where touchscreen emulation would break when third-party automation libraries were disabled. Your mobile profiles now preserve the “human-like” nature of their fingerprints until the very end of the session.
— Geolocation via API: We fixed changing geo settings through the API. Profile coordinates now strictly match the specified parameters without failures.

Update now and always stay undetectable!

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Website | Download The Browser | Documentation

🦊 Crypto Wallets: How to Avoid the Sybil Label and Stop Getting Rekt on Airdrops

In one of our previous posts, we covered the basics: how to roll out dozens of MetaMask profiles in a couple of clicks. But creating the wallets isn't even half the battle. The real pain begins the moment you connect.

One careless step, and a project's anti-fraud system will flag all your accounts as Sybils. Months of warming up, gas fees (blockchain network commissions), and time go right down the drain. Let's break down how projects bust wallet networks and how to properly cut the hardware connection.

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👀 What does a dApp see upon connection?

When you hit "Connect Wallet" on a DEX or minting platform, the extension (be it MetaMask, Phantom, or Rabby) acts as a bridge between the webpage and the blockchain. In that exact second, the platform's scripts gain access to more than just your public address. They read your device's digital fingerprint.

If you open 50 wallets in standard browser tabs, even with different proxies, the anti-fraud system sees 50 different crypto addresses knocking from the exact same "hardware." They have an identical Canvas, the exact same set of system fonts, and the same WebGL. The system quickly realizes it's looking at a farm. The accounts get clustered together and sent straight to the ban list.

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⚔️ How do you break the hardware connection?

Simply changing your IP address won't help here. You need strict hardware isolation. To remain invisible to algorithms, you must follow a simple rule:

1 wallet = 1 unique digital identity.

With Undetectable, this process is handled at the technical level:

⭐️ Isolated storage: Extensions store encrypted keys in their internal, isolated memory. In our browser, each profile is a separate, closed environment. Website scripts have no access to it, and the wallet data of one profile is physically separated from the rest.
⭐️ Unique fingerprint: The system spoofs your graphics card, screen, and audio context fingerprints. To smart contracts, your farm looks like dozens of real, physically distinct computers.
⭐️ Synchronization: The browser automatically matches your time zone, language, and WebRTC parameters to your proxy's geo. There are no logical holes in your fingerprint for a site's security to latch onto.

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🫥 Technical tip: Hardware masking works flawlessly, but the blockchain is transparent. Never transfer tokens directly between your wallets to pay for gas or make transfers. Use sub-accounts on exchanges (like OKX) or reliable mixers.

Protect your assets smartly and grab those airdrops without the risk of getting caught in anti-fraud nets.

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Website | Download The Browser | Documentation

How Recruiters Scrape LinkedIn by the Hundreds of Thousands Profiles Without Getting Banned

LinkedIn is the absolute Holy Grail of data. Contacts of decision-makers, detailed senior-level resumes, corporate connections — everything is out there in plain sight. It’s the perfect database for both recruiting and B2B marketing.

There’s just one problem: the moment you launch a simple Python script to collect a lead database, after 50 requests you get hit with a CAPTCHA, and right after that — a permanent account ban.
Today, we’re breaking down how large recruiting and lead generation agencies extract terabytes of data from LinkedIn while avoiding the platform’s aggressive anti-fraud radar.

🤓 How does LinkedIn protect itself?

The platform’s protection is among the most aggressive on the market. It doesn’t just look at how many pages you opened per minute. Its algorithms dig much deeper:

- Network fingerprints: If your script is hitting them from a data center IP, trust immediately drops to zero.
- Hardware inconsistencies: You spoofed a fresh Chrome User-Agent, but the algorithm checks your WebGL and sees a server-grade GPU with no graphical interface. That’s an instant trigger.
- Outdated engines: If your code runs on an emulated old browser core, while the real world is already on something like Chromium 143, the system immediately understands it’s dealing with a bot. Real users update.
- Behavior: A real person does not open 100 tabs with candidate profiles in one second at perfectly even intervals.

🦯 How agencies break this system

Instead of banging their heads against the wall trying to fool the protection layer with simple HTTP requests, professionals use a bundle of:

Script (Puppeteer/Playwright) + Anti-detect browser + Residential proxies.

The workflow looks like this:

1️⃣A pool of 50–100 warmed-up profiles is created. One LinkedIn account = one unique device fingerprint = one residential proxy.
🔤 The script connects to the anti-detect browser through the API.
3️⃣ The bot opens profiles one by one, imitates human-like delays, scrolls through pages, and collects the required fields.
4️⃣ The load gets distributed. Each account views something like 30–50 pages per day. Altogether, a network of 100 profiles delivers 5000+ ideal leads daily without raising a single suspicion from the algorithm.

👓 Why you can’t do this without Undetectable

For everything to work stably and not collapse one day, you need a solid foundation.

The parser handles click logic, while Undetectable handles disguise:

*️⃣Automation API: Our browser works perfectly with scripts. You can programmatically manage hundreds of profiles: create, launch, and close them.
*️⃣ Clean fingerprints: We present LinkedIn’s algorithms with a perfect picture. Up-to-date Chromium cores, correct system fonts, accurate Canvas spoofing. To the social network, your bot looks like an HR manager sitting with a MacBook in a coffee shop somewhere in Warsaw.
*️⃣ Security: Databases of top candidates or leads are expensive. Your infrastructure and data remain yours alone. We do not read anyone’s profiles at all: not in the cloud, and certainly not local ones (technically, this is simply impossible). Everything is isolated and securely hidden.

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Website | Download The Browser | Documentation

👁👁 Browser OSINT: what a website knows about you long before you enter your login

The abbreviation OSINT (Open-Source Intelligence) stands for “intelligence gathered from open sources.” In the classical sense, it means the legal collection of information about a target from publicly available sources: public registries, social networks, forums.

But in the reality of the modern internet, the concept works differently. On the web, “open sources” are not your posts or comments. They are the technical parameters that your hardware and browser voluntarily transmit to any server upon the very first request.

Among users, there is a stereotype that websites start collecting data only after you enter your email or log in. In reality, the most aggressive automated OSINT collection happens during the very milliseconds while the page loading spinner is still spinning on your screen.

Now let’s break down which metrics are instantly sent to platform servers.

💁‍♂️ 1. Basic level: Network and location

As soon as the connection happens, the website records your IP address. But algorithms no longer trust a single IP. They immediately send requests through WebRTC to try to extract your real local address by bypassing the proxy. At the same time, the system time and browser language are checked against the geolocation of your IP. The slightest mismatch — and the trust score of the session drops.

😈 2. Deep scan: Hardware and rendering

After the HTML code is loaded, hidden JavaScript scripts come into play. They ask your browser to render an invisible 3D element (WebGL) or text (Canvas). Your graphics card renders pixels with its own unique microscopic characteristics.
The website instantly receives the hash of this render, and in addition collects the full list of fonts installed on the system, the screen resolution, and the number of CPU cores.

😝 3. The invisible handshake: TLS/JA3

The toughest level of checks — the point where accounts get flagged. Even before content transfer begins, the browser negotiates encryption protocols with the server (an SSL/TLS connection). The order of these settings forms a JA3 fingerprint, which is tightly bound to a specific engine.
If your User-Agent claims that you are using an up-to-date Chromium 146, but the network handshake corresponds to a cheap automation script or an outdated browser version, the system immediately marks you as a bot.

💃 How do you avoid getting caught in the crossfire?

Websites are not looking for a specific person — they are looking for technical anomalies. Trying to aggressively block data collection with scripts will make you look suspicious to any platform. To survive, you need to blend into the crowd.

🔤 Undetectable works exactly on this principle. The browser does not simply change values — it generates a statistically plausible digital fingerprint:

- Network fingerprints strictly match the declared core.
- Fonts, Canvas, and WebGL are synchronized to the selected OS without creating unique “mutants.”
- WebRTC is reliably isolated without breaking the profile’s logic.

A bonus to technical security is complete confidentiality. Whether you work with hundreds of local profiles stored on your hard drive or use cloud sync for a team, access to your cookies, cache, and data is impossible for anyone except you.

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Website | Download The Browser | Documentation

🔤 Undetectable Browser Update 2.45.0

Hey! We continue making your work with the browser more convenient and secure. In the latest release, we focused on making your profiles look even more natural to AI models used by anti-fraud systems, while also keeping them more stable.

Let’s break down what changed and why it matters.

📱 Chromium 147

A fresh core is the foundation. Anti-fraud systems such as Google, Facebook, and crypto exchanges instantly detect users running outdated browser versions. Updating to version 147 ensures that your digital fingerprint matches millions of regular users. You do not stand out — which means you do not raise suspicion.

👉 RAM up to 32 GB

Previously, Chromium exposed a maximum of 8 GB of memory to websites, even if you had a powerful PC. In the new version, this limit has been removed.

— Why does this matter? Modern “heavy” platforms can see that you are using powerful hardware, which increases the trust level of the account. Now, in the settings, you can choose 16 or 32 GB, creating the most realistic profile of a high-end device.

😀 Profile launch type selection

If you launch 20–50 profiles at once, you know how chaotic the screen can become. We added a flexible launch type selection:

• Full screen
• Minimized
• Bring to front

Now profiles can load in the background without distracting you from the main program window.

You can choose the profile launch type in the main program settings under “Launch Profiles”. Your workflow = your rules.

📶 Proxy traffic savings

We optimized the IP checking algorithm. Now the browser makes fewer background requests. If you work with mobile proxies or residential pools with traffic-based pricing, you will notice slightly lower expenses. A small thing, but a nice one!

😑 What else was fixed?

✅ Facebook: links in comments on mobile configs are clickable again. An important fix for those who work with SMM and farming.
✅ Stability: fixed a crash of the main window where profiles remained “hanging” in processes. Now everything works like clockwork.
✅ Authorization: auto-login now works strictly according to your command — the checkbox in the settings has power again.

Update and stay undetectable!

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Website | Download The Browser | Documentation

🫵 SIM cards are no longer needed: 2FA and how it works.

If you manage 20, 100, or 500+ FB, Google, or TikTok accounts, forget about basic cybersecurity advice for ordinary users. For multi-accounting, 2FA isn't just protection against hackers. It's a reliable way to minimize costs on virtual numbers and reduce routine SMS checks.

Let's be honest, traditional authorization methods simply break the scaling of an account farm.
🤔 Why classic methods break the farm:

SMS codes: You constantly pay to rent virtual numbers for every login. If a number "dies"—at any serious trigger, the account gets stuck at a checkpoint.

Mobile authenticators: Rigidly tie dozens of profiles to one physical device. If the phone breaks or gets lost—work comes to a halt.

Imagine the situation: you're spending $2k/daily on Google Ads, a campaign starts running at a loss, and you urgently need to log into the dashboard. But the only working phone with Google Authenticator is with the team lead, who is currently offline. Access to the farm is paused while you look for a way to get the code—time is ticking, and the budget is draining. That's exactly why strict hardware binding breaks scaling.

👉 Solution: Online generators (Web 2FA)

The industry is shifting to web-based TOTP code generators. You register an account once, enable 2FA, copy the secret key to an online generator right in your browser—and you'll never need a SIM card again.

What are the main advantages:
- Painless teamwork. Keys are stored right in the browser. A night shift or a remote employee can log into TikTok Ads without needing to wake up the lead asking, "Who has the work phone right now?".
- Trust Score boost. Algorithms see the enabled protection and trigger less often on IP or hardware changes. Accounts are less likely to get hit with identity verification when scaling spend or linking cards.
- Budget savings. Significantly cut costs on SMS services during daily work with profiles.

👀 How it works in conjunction with Undetectable.io

The ideal workflow looks like this: one isolated browser profile = one unique key in Web 2FA.

Platforms see the enabled protection, increase the account's Trust Score, and stop suffocating you with SMS checks.

All information, including 2FA secrets, remains completely isolated. You get perfect anonymity without the risk of compromising your setups.

📃 Read our new article to find out how to properly migrate hundreds of accounts from SMS to online 2FA without drops and bans.

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Website | Download The Browser | Documentation

🔤 AI Automation: Undetectable 2.46.0 Update

Hi! We’ve rolled out a fresh release with a strong focus on automation tools. Below, we break down exactly what has been improved and how it will make your work easier.

🫂 MCP Server

The main feature of this update is the implementation of the MCP (Model Context Protocol).

You no longer need to be a senior developer or write complex automation scripts. Just connect the browser and an LLM through the MCP server, give the neural network a task in plain text, for example, “create 50 profiles and assign proxies from the list to them,” and the AI will do everything itself inside Undetectable.

Read more about how to connect it here.

* The Undetectable browser must be running for AI automation.

⚙️ Local API

We’ve embedded a native API for interacting with websites directly into the browser core. Now you can send commands for clicks, scrolling, and typing text without using Puppeteer, Selenium, or Playwright.

- First, scripts run faster and don’t fail because of timeouts.
- Second, this kind of automation is less visible to platform anti-fraud systems. Fewer intermediate layers mean higher security.

📱 Chromium 148

Staying true to our tradition: we’ve updated the browser engine to the current version 148.

Anti-fraud systems always know what mass traffic looks like at any given moment. A fresh core ensures that your fingerprint does not stand out from billions of regular users, while modern scripts on websites render without suspicious errors.

🎙 Speech API for Android Profiles

We’ve improved the Web Speech API substitution mechanism, including speech synthesis and recognition, for mobile configurations.

Modern protection systems, especially on social platforms, like to query this parameter because the list of voices is tightly linked to smartphone hardware. Improved masking gives your mobile accounts higher trust and increases their survival rate.

🤔 Fixed Profile Launch on macOS

We fixed an annoying bug that caused the profile launch type selection option to reset on Macs.

Your workflow is back under control. Mass profile launch will no longer turn your screen into chaos — windows will open exactly the way you need them to: minimized, in the foreground, or in full screen.

⚡ Update to version 2.46.0, test AI-based control, and take your automation to the next level!

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Website | Download The Browser | Documentation

🧠 AI Controls the Browser: Undetectable Automation

In today’s post, we explain in detail how to connect an AI model to the browser and start automating tasks in just a couple of minutes.

👽 What MCP Is and How It Works

MCP (Model Context Protocol) is an open standard that allows AI models to securely connect to local tools on your PC.

We have a Local API — an interface through which the browser receives commands: create a profile, open a tab, click a button, and more.

Our MCP server acts as a translator. It takes your text requests to the AI, translates them into a language the API understands, and makes the browser perform the actions you need.

👉 Why This Is Powerful

Automation has never been this simple and accessible for users without coding knowledge. You no longer need to spend tons of time creating profiles, warming them up, or collecting the data you need for analytics.

You simply open an AI tool, for example Claude, and give it commands.
For example: “Create 5 new Windows profiles, open Amazon in each one, find headphone prices, and collect them in a table.”

The AI understands the task on its own, connects to Undetectable through the MCP server, opens the required windows, and gives you the finished result. All of this without a single line of code!

🍿 How to Connect AI to Undetectable Step by Step

Setup takes just a few minutes:
1️⃣ Install Node.js. This is required to run the MCP server.
2️⃣ Configure Claude Desktop. To do this, open settings in Claude Desktop → Developer → Edit config.
3️⃣ Add the server to the configuration. Insert this code block into the claude_desktop_config.json file and save it:

For Windows:

{
  "mcpServers": {
    "undetectable-local-api": {
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "-y",
        "undetectable-local-api-mcp-ts"
      ],
"env": {
        "UNDETECTABLE_BASE_URL": "http://127.0.0.1:25325",
        "UNDETECTABLE_TIMEOUT": "60"
    }
  }
}

For macOS:

{
  "mcpServers": {
    "undetectable-local-api": {
      "command": "npx",
      "args": [
        "-y",
        "undetectable-local-api-mcp-ts"
      ],
"env": {
        "UNDETECTABLE_BASE_URL": "http://127.0.0.1:25325",
        "UNDETECTABLE_TIMEOUT": "60"

    }
  }
}

This code tells the AI to automatically pull our official package on startup.

💃 Start Automating

Restart Claude Desktop and launch Undetectable. Now the AI can see the browser, and you can write your first prompt.

📃 Read more about the setup in our detailed guide article.

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Website | Download The Browser | Documentation

📱 ChatGPT warms up your account

Website security systems don't trust "empty" profiles. They require history, cookies, and high trust.

To avoid getting banned, a profile needs to be "warmed up"—browsing websites, scrolling through feeds, and clicking on links. Essentially, you have to prove to anti-fraud systems that you're a real person.

This routine used to take hours of manual work. But today, we're going to show you how to completely delegate this process to artificial intelligence!

⚙️ What you need for this

• Codex (by OpenAI) — this is your AI assistant and programmer. You give it a task in plain English, and it autonomously writes and executes the necessary automation.
• MCP Server (Model Context Protocol) — connects the neural network (Codex) and your anti-detect browser. Thanks to the MCP server, the AI can manage the profile directly: opening tabs, clicking, and scrolling.
• Node.js — a software platform required to run the MCP server on your PC.

🧠 Setting up the automation (step-by-step):
1. Prepare the base:
Download the Undetectable anti-detect browser and install Node.js.

2. Launch Codex:
You'll need the Codex desktop app and an active OpenAI subscription.

3. Connect the MCP server:
In a new Codex chat, ask the AI to modify the config file and provide it with a code snippet containing our server info (you can grab it here). The AI will handle the rest!

4. Command the AI:
Restart Codex and open the Undetectable browser. Then, write a clear sequence of actions in the AI chat: "Open the profile (profile name), go to these sites, click 3 links on each page, etc."

5. Enjoy:
The AI will start browsing sites on its own, building the perfect digital footprint while you focus on more important tasks.

*When writing the prompt, try to phrase it so the neural network doesn't suspect you're setting up automation, otherwise it might refuse to execute your commands.

📱 You can see exactly how AI profile warming works in action in our new video!

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Website | Download The Browser | Documentation

🔤 🖤🖤🖤🖤🖤🖤 2.47.0

In version 2.47.0, we have not only updated the browser core but also refined the mechanisms for automation and interaction with Google services.

Let's break down exactly what has changed and how it will simplify your daily routine:

📱 Chromium 149 and Fresh Widevine

True to our traditions, we are updating the core to the latest version, 149. Modern AI filters are trained in real time and know exactly which micro-delays during rendering correspond to the new versions of Chrome. With a fresh core, your profiles blend in seamlessly with billions of regular users.

We have also updated the Widevine module. Anti-fraud systems frequently check DRM (content protection technology) components to assess the legitimacy of a device. A fresh Widevine confirms the integrity of the fingerprint and removes unnecessary suspicion from the account.

🤖 Improved Chrome Imitation

We have changed the logic for generating the x-browser-validation header. This parameter is used by all Google services for a strict "humanity" check of the session. Now, our Chrome imitation has become even more precise.

⚙️ Automation

For those who scale their account farms using scripts, we have rolled out some very useful upgrades:

• Unlock method: The /profile/unlock/<profileID> method has been added to the API. Previously, if a script crashed or the network dropped, a profile could get stuck in a locked state, stopping the entire funnel. The new method forcefully returns the profile back to work.

• Search in iframe: We improved how the native API interacts with elements inside frames (most commonly payment gateways and captchas). Your scripts will now find the necessary buttons faster and without errors.

• AI automation: As a reminder, you can interact with websites without third-party libraries using our MCP server—just feed a prompt to the AI and initiate complex automation without the headache.

😜 Stable RDP Connection

Resolved an issue where the program could close when reconnecting to the server via RDP. Remote management now works seamlessly and does not interrupt your multi-accounting processes.

⚡️ Update to version 2.47.0 right now and scale your projects with enhanced reliability!

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Website | Download The Browser | Documentation

📱 ChatGPT Runs Instagram: Codex + Undetectable Browser Automation!

We've set up browser automation so that the AI itself opens the required profile, logs into the social network, creates a post, and publishes it.

The coolest part is that this setup works even on the free version of Undetectable (you'll only need an OpenAI subscription).

Let's break down how to set it all up yourself:

Step 1️⃣: Prepare the base

• Download the Undetectable anti-detect browser.
• Install Node.js on your PC (it's required for the scripts to work properly).
• Create a separate folder and put your ready-made images and post texts there.

🖤🖤🖤 The AI will need exact file paths.
On Windows: hold Shift + right-click on the file ➔ "Copy as path" (it's better to remove the quotes when pasting).
On macOS: right-click + hold Option ➔ "Copy path as pathname".

Step 2️⃣: Launch Codex and connect the MCP

Download the Codex desktop app and log in. Now you need to introduce the AI to the browser. To do this, send this prompt in a new Codex chat:

"Connect the MCP server:"
JSON

{
  "mcpServers": {
    "undetectable-local-api-ts": {
      "command": "npx",
      "args": ["-y", "undetectable-local-api-mcp-ts"],
      "env": {
        "UNDETECTABLE_BASE_URL": "http://127.0.0.1:25325",
        "UNDETECTABLE_TIMEOUT": "60"
      }
    }
  }
}

The AI will connect the server itself! After that, restart Codex and open Undetectable.

Step 3️⃣: Automated posting

After testing various algorithms, we found that asking the AI to look for buttons "with its eyes" works, but takes too long.

Therefore, after some trial runs, we asked the neural network to analyze its own mistakes and write an optimized prompt for maximum speed itself!

Create a new chat in Codex and copy this prompt into it, replacing the file paths with your own:

Start the Undetectable profile named Social UDT Wait 3 seconds after profile start.
Connect to the profile’s returned websocket_link.
Open Instagram directly at: Wait 3 seconds for the create upload page.
If the Select from computer button is visible, click it and set this file in the chooser: [Path to image file]
If a file input is already present, set the same file directly on input[type="file"]. Wait up to 45 seconds for Instagram to finish upload/navigation.
Do not wait for Next buttons.
The observed successful flow goes directly to: On the details page, fill the visible textarea: textarea[aria-label="Write a caption…"] with exactly: [Post text] Find the enabled button whose exact visible text is Share.
Trigger the Share button directly with a full pointer/mouse/click event sequence on that button.
Wait up to 90 seconds for Instagram to leave /create/details/ and return to Instagram home or another non-create page.
Open: [Page URL] Wait 5 seconds.
Take a screenshot confirming the newest grid item appears at the top-left of the profile grid.

For better results, we recommend running your own tests with the AI and, based on those, asking it to create a personalized prompt for you.

🔥 Try setting up your first auto-post today!

🖤🖤🖤🖤 For more details and visual screenshots, jump into the full article on our blog.

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Website | Download The Browser | Documentation

AI Detection: How Neural Networks Are Teaching Websites to Spot Bots

A few years ago, anti-fraud systems were much simpler. Hide your real IP behind good proxies, spoof your User-Agent, warm up some cookies—and you were in. Today, the rules of the game have changed a bit. Cloudflare, Google, Facebook, and others are massively implementing AI models to catch multi-accounting.

😪 How AI Detects Bots and Multi-Accounts

Behavioral biometrics.
Neural networks analyze micro-timings: how fast you type, and whether your mouse moves in a perfect straight line or jitters like a living person's. Fast and perfectly precise actions are overly suspicious.

Comparison with majority patterns.
AI trains on millions of real user sessions. If your profile is perfectly configured but behaves differently from 99% of regular people on that site, the system will flag it as an anomaly.

The "Software + Hardware" link.
AI has learned to spot inconsistencies. For example, if you have a User-Agent from the latest iPhone, but your fonts and Canvas rendering indicate a Windows emulator, the neural network will issue an instant ban.

🙏 What Should You Do?

Fighting AI is pointless—you need to deceive it by blending in with the "crowd."

• Use deep fingerprint substitution. At Undetectable, we don't just randomize values (which is often exactly what gets caught by AI); we take real browser fingerprints from real devices. To the neural network, your profile looks like an ordinary person browsing from a regular home PC or smartphone.

• Be "imperfect." Don't automate everything 100% without randomizing your pauses. If you use scripts for account warm-up, set up chaotic mouse movements, variable scrolling speeds, and pauses to "read" pages. If you're automating with AI, make sure to factor in pauses and human-like behavior in your prompt.

• Maintain consistency. Your proxy, geolocation, time zone, browser language, and WebGL fingerprints must all follow a unified logic. Undetectable helps you synchronize this data in just a few clicks.

Neural networks learn fast, so the golden rule today is: the quality of your profile and behavior is far more important than the quantity of your accounts.

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Website | Download The Browser | Documentation

🔥 Undetectable Hotfix

We've rolled out a small but important update. Let's break down what's changed below.

Control Over Cloud Profile Downloads

When you are working with hundreds of profiles, constant background downloads can consume a lot of internet traffic and slow down your processes. Now, you can disable automatic downloading using the Auto-download cloud profiles checkbox in the settings.

With auto-download disabled, profiles receive a Not sync status and are visually highlighted in the interface. You decide when to allocate resources to them: you can simply download the required account from the cloud, or click "sync and launch immediately."

🖤🖤🖤Note: You can only change profile settings after it has been downloaded from the cloud.

New API Methods for Synchronization

For those who automate routine tasks, we've added API methods to manage deferred downloads. Profiles waiting to be downloaded will return the status "status":"Need Sync".

Two methods are available for management:

/profile/sync/<id> — for targeted downloading of a specific profile.

/profile/syncmany with the body ["<id1>", "<id2>",...] — for bulk downloading a specific pool of accounts from the cloud.

Hide Video Devices

Anti-fraud systems are getting more complex: some websites are starting to request webcam access (for example, to pass a video CAPTCHA) or checking for its presence for fingerprinting purposes.

Now, the "Hide video devices" option is available in the profile settings. It conceals the presence of a camera from the target website; the system will be convinced that you simply don't have any video devices and won't be able to use them for detection.

 Fix for iOS + Safari

We removed the annoying system notification "Google API keys are missing", which previously could appear inside profiles using an iPhone footprint on Safari.

Update your browser to enjoy the new features!

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Website | Download The Browser | Documentation

🔤🔤🔤 AI browser automation for $0: Integrating Undetectable with local LLMs

AI automation is gradually taking over the market, but when scaling account farms, your inner cheapskate can instantly strangle you after seeing the API token bills.

Although it is not just about money. Commercial AI tools have strict restrictions and censorship, and not every automation scenario will work with them.

There is a free solution! Thanks to the MCP server built into the browser, you can connect your antidetect browser to any open local neural networks (Llama, Mistral, etc.), for example through the LM Studio app. This allows you to bypass censorship and fine-tune the neural network however you want.

How the setup works

LM Studio runs the language model directly on your PC.
MCP server translates the neural network’s text commands into specific actions inside Undetectable profiles.

🔤🔤🔤 🔤🔤 🔤🔤🔤🔤🔤🔤🔤 (5 simple steps):

- Download LM Studio from the official website and load the AI model you need.
- Connect the MCP server: In LM Studio, open the Chat tab ➡️ Integrations panel ➡️ Install ➡️ Edit MCP Json.
- Enter the data: Add the Undetectable MCP server settings, click Save, enable the server with the toggle, and grant the required permissions.
- Restart the software: Close and reopen LM Studio and the Undetectable browser.
- Start automation: Load the LLM in the Select model to load tab and send your first prompt in the chat!

What can already be automated

✔️ Smart farming and warm-up: AI imitates real human behavior by naturally moving across websites and building up trusted cookies for anti-fraud systems.
✔️ Full-cycle SMM: Set up fully automated posting on Instagram. AI will log into the account, generate captions, upload media, and publish content while bypassing detection algorithms.
✔️ Ad account monitoring: The neural network will independently click through your profiles, collect data on remaining budgets, and provide a ready-made text summary or table.
✔️ Intelligent parsing: Collection and deep analysis of data from any resources in real time without writing custom parsers.

*It is important to note that automation on a local neural network requires significant computing power from your PC. In other words, the more powerful your hardware is, the smarter the AI and the more complex the automation you will be able to deploy.

🤓 Read the detailed step-by-step guide on integrating Undetectable and LM Studio in our new article

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Website | Download The Browser | Documentation

🔥 5,000$ GIVEAWAY FOR SUBSCRIBERS

9 affiliate services have joined forces and put together a prize pool in the form of prizes worth 5,000$ for their subscribers.

The giveaway includes: a payment service, account shop, cloaking service, antidetect browser, proxy service, PWA service, spy tool, creative agency, and advertising network.

🎁 What can you win?

1-5 - Cloaking House Premium Subscription worth 299$
6-10 - 100$ FBShopi Balance + 15% Discount Coupon
11-15 - Any Subscription of Your Choice from PWA.Market
16-20 - 100$ Wild Creo Balance, can be used for any agency services
21-25 - 100$ Pay2.House Balance
26-28 - 100$ SX Balance
29-31 - 100$ Push.House Balance
32-33 - Undetectable browser License worth 99$
34-37 - Spy.House Premium Subscription worth 99$
38-40 - Undetectable browser License worth 49$

🚀 How to participate?

1️⃣ Start the bot - @giveaway_top_gifts_bot
2️⃣ Subscribe to all participating channels
3️⃣ Click the "✅ Verify Subscription" button

‼️ Important: If, at the time the results are announced, you have unsubscribed from at least one participating channel, your entry will be automatically disqualified.

🏆 When will the results be announced?

The results will be announced on July 28, 2026 using a randomizer.

The winners will receive a notification via Telegram.

For prize claims:
👉 @DimaPay2

🔤 🔤🔤🔤🔤🔤🔤 2️⃣⏺4️⃣8️⃣⏺0️⃣

Hi! We’ve rolled out the fresh 2.48.0 release. Today, we’re breaking down what has changed and how it will benefit your workflows.

📱 Chromium 150

The foundation of any secure work is an up-to-date browser base. The protection algorithms of top platforms instantly react when your browser version lags behind the one used by most real users around the world. With the current version 150 core, your digital fingerprint fully matches the latest web standards.

📶 Network emulation for Android profiles

We’ve added the Network setting to the Emulation section specifically for mobile configurations. Now the browser sends a specific connection type to target websites through the navigator.connection.type parameter.

This parameter does not exist on desktop, but for anti-fraud systems analyzing mobile traffic, it is a highly important indicator. By default, the program automatically assigns a logical random value to each new profile (cellular or wifi), saving your time when creating accounts in bulk.

If you need surgical precision, the connection status can be set manually. This deep level of fingerprint refinement significantly increases profile survival rates on resources with the strictest anti-fraud systems.

⚙️ What about improvements?

We’ve also made a couple of improvements to the stability and convenience of daily work:

• Password leak notifications have been disabled: Built-in browser warnings about compromised passwords created unnecessary visual noise. When filling in hundreds of login forms in bulk, this was very distracting.

• Cloud profile API has been fixed: Previously, when stopping a session programmatically, the server could return a success status even if the data had not been correctly sent to the cloud in time. This issue has been fixed. Your automation scripts now receive only 100% reliable statuses.

⚡️ Update to version 2.48.0 and stay undetected!

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Website | Download The Browser | Documentation

Why Battery and Sensor APIs Can Expose Your Mobile Profiles

When talking about fingerprint spoofing, you probably immediately think of User-Agent, WebRTC, Canvas, or fonts. But if you work with mobile profiles, anti-fraud systems look at much more than just these parameters. Two metrics that are often overlooked are the Battery API and Sensor API.

These alone can expose you even if you are using the most trusted proxy. Let’s break down how it works.

🔋 Battery API

The Battery API allows a website to determine the device’s battery level, charging status, and even the estimated time until the battery is fully discharged or fully charged.

How this is used for detection:

For example, you launch a mobile profile through an emulator or a poorly configured anti-detect browser.

What does the target website see? Your “smartphone” stays at 100% battery for days and is constantly plugged into a power source.

Real users do not behave like that. A real person’s battery drains, the phone gets plugged in at 15%, and the battery level changes even while the page is open. Static or unrealistic battery readings trigger anti-fraud systems and signal that they may be dealing with a bot.

Important note: On Android (Chrome), websites can read this information automatically without asking for any permission. Safari on iOS, however, disabled the Battery API long ago. So if your profile pretends to be an iPhone but happily sends battery information to the website, the anti-fraud system immediately understands that it is fake and bans it.

📱 Sensor API

The Sensor API gives websites access to the accelerometer, gyroscope, and ambient light sensor.

This means that:

When a real person holds a phone in their hands, the device is constantly making micro-movements. The tilt angle changes, the screen rotates, and fingers may block the light sensor.

On Android, websites can also read these micro-changes by default when running over HTTPS. On iOS, user interaction is required, but protection systems still analyze behavioral logic.

If your mobile profile sends zero values across the X, Y, and Z axes, or if these values remain completely static, the system understands that the device is lying on a table at best 😳 or does not physically exist at all, meaning it is an emulator.

How Can You Avoid Getting Detected?

Emulators and basic extensions stopped being enough a long time ago. Advanced anti-fraud systems can easily detect them precisely through these less obvious hardware-level metrics.

To avoid losing accounts because of a “frozen” battery or missing gyroscope data, take a comprehensive approach to masking. For safer work with mobile and other profiles, use professional anti-detect browsers such as Undetectable.

A professional anti-detect browser properly spoofs digital fingerprints and helps keep your accounts safe from protection algorithms.

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Website | Download The Browser | Documentation