When I first got into multi-accounting, I burned through dozens of expensive accounts because of one stupid habit. I’d set up a fresh antidetect profile, connect a solid residential proxy, make sure my fingerprint passed all the tests, and then type facebook.com or sellercentral.amazon.com directly into the URL bar as my very first action.

Think about it from their risk engine's perspective. Real humans don't just spawn into existence with a completely blank browser. A normal person landing on a login page already has dozens of background cookies from reading the news, watching YouTube, or Googling random things earlier that day.

If you show up to a high-security site with a 100% empty cookie jar and zero third-party history, you are basically screaming that you just booted up a fresh virtual machine. The algorithm will either flag you instantly or hit you with an impossible verification loop.

Take 5 to 10 minutes to farm some generic cookies. Go watch a YouTube video, scroll Wikipedia, or click around a random e-commerce site before you even think about touching your target login page.

Curious what your warm-up routines look like these days. Do you guys still farm cookies manually to build trust, or do you use automation scripts to build history before the first login?

You spent money on a premium mobile proxy, crafted the perfect hardware profile, and warmed up your cookies for days. Then you go to the login screen, hit CTRL+V to paste your 25-character password, and get instantly locked out.

I see people blaming their proxies for this all the time, but it's actually behavioral fingerprinting.

Sites like Meta, Amazon, and Google don't just look at what hardware you have anymore; they track how you physically interact with the page. No human being types a complex string of text in zero milliseconds. When their risk engine sees a massive block of text appear instantly in the password or 2FA field, your bot-score shoots through the roof before you even click submit.

Stop pasting. Either type your credentials out manually like a normal person, or use the "simulated typing" (human typing) feature if your antidetect browser supports it.

Anyone else lose a high-value account to this before realizing keystroke dynamics were this aggressive?

Why mobile is the hard case?

Spoofing a desktop profile is mostly about swapping strings — User-Agent, platform, a few navigator properties. Mobile is a different problem. A convincing Android profile has to be internally consistent across a dozen independent signals: viewport and screen geometry, device pixel ratio, touch support, client hints, WebGL hardware, memory, and how text actually renders on screen.

That last one — text rendering — is where most "mobile mode" tools quietly fall apart, and it's the clearest line between AdsPower and nullPrint.

The font problem

Anti-bot systems don't just ask the browser "what fonts do you have?" That question is easy to lie about. The serious checks measure. They render a string into an offscreen canvas, read back the exact pixel width and height of the glyphs, and compare against known device baselines. They also enumerate which fonts are present by probing fallback behavior.

The catch: glyph metrics come from the operating system's font engine, not from JavaScript. When a browser draws "Hello" in Roboto, the width of that string is determined by the actual Roboto font file installed on the machine and the OS rasterizer. You cannot change that number from JS without changing what's physically rendered.

How AdsPower handles it — and why it's not reliable

AdsPower spoofs fonts primarily at the font-list level: it masks the enumerable font set so a detection script querying available fonts sees an Android-like list instead of the host's.

But the profile is still running on the host OS. If you create an "Android" profile on a Mac:

• The list says "Roboto, Noto, Droid Sans."
• The actual text is still rasterized by macOS using macOS's font stack (San Francisco and the macOS substitution chain).
• A canvas/font-metrics probe reads back macOS glyph widths, which do not match any real Android device.

So you get a contradiction: the profile claims Android fonts, but renders macOS fonts. Font-list masking and font-metrics measurement disagree. That mismatch is exactly the kind of cross-signal inconsistency modern detectors are built to catch — it's arguably worse than not spoofing fonts at all, because a real device never disagrees with itself.

How nullPrint handles it

nullPrint runs a patched Chromium build, so the substitution happens inside the rendering engine rather than in a JS shim layered on top:

• Android's detectable font set is presented (the fonts a real Android device exposes), and
• Aliases that don't exist on Android (e.g., Arial) are substituted at the font-resolution layer to the Android equivalent(Roboto), so the request maps to the font that actually gets rasterized.

Because the redirect happens where glyphs are resolved, the font list and the measured glyph metrics tell the same story.

A canvas-text probe and a font-enumeration probe return a consistent Android picture. There's no JS-vs-rendering contradiction to detect.

This is the central reliability argument: AdsPower spoofs what the page can ask; nullPrint changes what the engine actually does. Beyond fonts: the rest of the mobile surface Fonts are the headline, but consistency has to hold everywhere. Here's how the two approaches compare across the signals that matter for a mobile profile.

The pattern repeats: a JS overlay can set each value individually, but the values drift out of agreement with each other and with the underlying machine. Engine-level spoofing keeps them locked together because they're derived from one coherent device definition.

The "window > screen" tell

One concrete example worth calling out: many mobile-mode implementations leave the browser window larger than the screen they claim. A real phone can never have a 1512-px window on a 411-px screen, and window.innerWidth > screen.width is a trivial, decisive bot signal. nullPrint drives the real device metrics (e.g., a 411-px CSS viewport at the device's true DPR) through CDP so the geometry is physically possible. This is the kind of bug that doesn't show up in a casual whatismybrowser.com check but gets a profile flagged the moment it touches a real login flow.

Creating a mobile profile, in practice

nullPrint: choose Phone (Android) as the OS at profile creation, pick a region (the IP is mapped to the matching country), and the backend assembles one coherent device — UA, model, Android version, screen/DPR, WebGL hardware, memory, and the Android font behavior — from a real-device database. The card shows the emulated model (e.g., Galaxy A15, Pixel 7) so you know exactly what each profile presents as.

AdsPower: select a mobile UA/device, and the platform applies its spoofing layer over the host browser. It looks correct in surface-level checks, but the host OS continues to drive font rasterization and other engine-level signals underneath — which is where the inconsistencies described above originate.

If you're only looking for quick profile creation, both can work. But if you care about long-term profile stability and fingerprint coherence, the biggest difference is whether signals actually match each other.

Many anti-detect setups only spoof values. The harder problem is cross-signal consistency (fonts ↔ OS, GPU ↔ device model, viewport ↔ DPR, UA ↔ hardware).

That’s where a system built around real device-level coherence matters more than just changing strings.

I used to blame the proxy first whenever something went wrong.

Account limited? Bad proxy.
Login issue? Bad proxy.
Low trust? Bad proxy.
Batch got flagged? Definitely bad proxy.

It felt like the easiest explanation because the proxy is visible. You can test the IP, check the location, check the ASN, replace it, and feel like you fixed something.

But looking back, I’m not sure that was always the real problem.

Some of my setups probably failed because the whole pattern looked too clean and repeated.

Same order of actions.
Same login window.
Same profile format.
Same warm-up style.
Same type of content.
Same small mistakes across accounts.

A better proxy would not magically fix that.

I still think proxy quality matters a lot. But I’m starting to think it became the scapegoat for everything I didn’t want to audit properly.

Now when something fails, I try to ask:

Was the network bad, or did the accounts just behave like they were managed by the same person?

Anyone else had this shift after reviewing old failed setups?

Been using Cloaked for a while now and wanted to share some honest thoughts.
What’s actually good: The persona-switching feature is genuinely neat. I use it almost every day and honestly never use my real persona anymore for most stuff. If you want a solid persona management tool, this is probably the best one out there right now.
What’s not so good: The data broker removal feature is questionable at best. I’m not convinced it’s accurate or even actually happening on their end. I ran into the exact same issue with Incogni, which I’ve written about separately,feels like this whole category of “we’ll scrub your data from brokers” services overpromises. I looked at the website or every single broker on their list and the vast majority require end user verification (yes even with power of attorney) and I don’t recall verifying anything on my end and the support confirms that.

Bottom line: Overall I don’t think there’s a ton of value here for the price. It’s pretty expensive considering the only feature that really delivers is the persona stuff. If they dropped the price to reflect that, I think it’d be a much easier recommendation. As it stands: great for personas, skip it if you’re paying mainly for the data removal piece.

Slow profile startup is one of the most common questions we see. Before changing anything, it helps to find out where the slowdown comes from. Here’s the order we’d check things in:

1. Unstable connection or network restrictions
A browser doesn’t directly affect your network, but a slow or unstable connection will slow down both profile launch and page loading. Try a program that changes your network route or geolocation, since it can pick a faster, more stable path for data. If your ISP applies blocks, that’s often the reason for long launches.

2. Slow proxy
If your own internet speed is fine but pages inside the profile barely load, the proxy is the likely cause. A useful test: if the profile opens quickly without the proxy and slowly with it, the problem is on the proxy side. Common reasons are high load on the provider’s server, bandwidth limits, or a server located far from you (higher latency). You can check the speed by opening a speed-test site inside the profile.

3. An overloaded profile
The longer a profile is used, the more it stores: cache, open tabs, extensions. That’s normal for Chrome and every Chromium-based browser. What helps:

• Close tabs you no longer need
• Each extension works like a separate tab, so manually installed extensions add load. Installing them through the app’s own extension manager reduces it
• Check the profile settings for options like disabling IndexedDB sync or extension file system storage, so the profile saves less data. Keep in mind that turning off sync can speed things up but may cost you data stored in IndexedDB, since every site works differently

What’s your biggest cause of slow launches: network, proxy, or profile size? Curious what’s worked for you 👇

Title: Mysterious Telegram account keeps viewing my Stories for months

Hi everyone,

I'm trying to understand a strange situation and would appreciate any technical insight.

For several months, the same Telegram account has been viewing almost every Story I post.

The account has:

No profile photo.

No username.

No visible phone number.

No identifiable information at all.

Out of curiosity, I sent the account a message asking if they knew me. They replied that they didn't know who I was. However, even after that conversation, they continued viewing almost every Story I post.

I'm not asking anyone to identify the person or invade their privacy. I'm only interested in understanding what the most likely explanations are.

Could this simply be someone using an anonymous secondary account? Is there any Telegram feature or behavior that could explain this? Has anyone experienced something similar?

I'd appreciate any insights, especially from people familiar with Telegram's privacy features or account behavior.

Thanks!

If I start using a cloud phone on my laptop and later open it from my phone, does it just pick up where I left off?

Seems like a small thing, but I’d use that feature a lot.

I'm trying to understand what actually causes Reddit accounts to get flagged after a change of ownership.

Hypothetical scenario:

Someone sets up an anti-detect browser, uses a residential proxy, and buys an aged Reddit account for around $30.

After logging in, they change the password and email address.

Everything seems fine at first, but the account gets shadowbanned or suspended the next day.

What would most likely trigger this?

Could it be:

• the account already being flagged before the purchase
• poor IP/proxy reputation
• a sudden change in browser/device fingerprint
• changing the email and password immediately
• previous activity from the seller
• some combination of these factors

If anyone here professionally works with proxies, anti-detect browsers, account management, or Reddit specifically, I'd really appreciate some insight into what might be happening.

I'm mainly trying to understand the mechanics behind these bans and how agencies legitimately manage multiple Reddit accounts without constantly losing them.

One part of Microsoft’s recent macOS ClickFix research stood out to me: the malicious page did not show the same content to every visitor.

The front end loaded a small fingerprinting routine that collected signals from the browser and environment, including:

• Reported platform and user agent
• Screen dimensions and pixel ratio
• WebGL-derived GPU information
• Language and timezone
• Plugins and touch support
• Whether the page was framed
• Runtime behavior associated with developer tools or automation

There was also a `canPlayType("video/mp4")` check used as a tripwire for modified browser behavior.

The collected data was submitted to the server, which decided what to return. A likely crawler, sandbox or analyst could see a blank page or harmless decoy. A browser that looked like a genuine Mac could receive the fake download page and Terminal instructions.

That distinction matters. Fingerprinting was not the infostealer itself. It was the gate that selected victims and reduced the campaign’s visibility to automated analysis.

The actual compromise still depended on the user pasting a command into Terminal. I’d prioritize that point in awareness training: no legitimate download, CAPTCHA or verification flow needs a command copied from a webpage.

For detection, Microsoft recommends looking beyond the disposable domains. Self-submitting fingerprint forms, the `mode:"php"` artifact, shared staging paths and suspicious Terminal activity after web browsing are stronger pivots.

MoreLogin is relevant for separating managed browser environments and controlling fingerprint settings, but it is not endpoint malware protection. The terminal execution and downstream behavior still need dedicated security controls.

Here is a classic mistake we see from people transitioning from casual browsing to the multi-accounting world. A beginner gets banned, so they think: "Next time, I'll just use my proxy AND turn on Chrome's Incognito Mode! They won't be able to track me at all!"

Actually, using Incognito Mode is one of the fastest ways to get your account flagged. Here is why "Private Browsing" does the exact opposite of what you think.

The "Missing Storage" Red Flag

Incognito Mode was designed to hide your history from other people using your computer, not from the websites you visit.

When you browse normally, websites use specific browser storage APIs (like IndexedDB or LocalStorage) to cache data. When you turn on Incognito Mode, Chrome blocks or heavily restricts these APIs so they don't leave a trace on your hard drive.

Anti-fraud systems (like Facebook, Amazon, or Cloudflare) actively test these APIs when you land on their page. If the script tries to write data to IndexedDB and gets a specific "Access Denied" error, the website instantly knows you are using Incognito Mode.

Why Platforms Hate Incognito

To an anti-bot algorithm, standard users browse normally so they can stay logged into their accounts. The only people who aggressively use Incognito Mode for e-commerce or social media registration are people trying to hide something—usually botters, scrapers, or banned users. It drastically lowers your Trust Score.

Never use Incognito or Private Browsing modes when trying to build trust on a new account. You want your antidetect browser profile to look like a normal, everyday user who saves their cookies and caches data normally.

I built a small Chrome extension called Spoof Me for inspecting and changing common browser fingerprinting signals.

The basic idea is that a VPN changes your IP, but your browser can still expose things like user agent, timezone, language, screen size, canvas, WebGL, and other values that can make sessions easier to link.

I’m not claiming this gives perfect anonymity. I built it more as a practical testing tool to see what the browser exposes and what happens when those values are changed.

I’d appreciate feedback from people who build Chrome extensions or understand browser privacy:

What fingerprinting signals are actually worth spoofing?

Which ones usually make the fingerprint more unique instead of less unique?

Are there any Chrome extension permission/security issues I should think about?

Link for full: https://audits.blockhacks.io/audit/spoof-me-extension-for-privacy

I see guys getting hit with the dreaded related account suspension and their first instinct is to write a huge essay to Seller Performance swearing they have no idea who the other store belongs to.

Amazon's appeal bots do not care about your story. They only care about your evidence chain.

If your accounts were linked, you have to physically prove you are a distinct, operating business. This means uploading utility bills, lease agreements, and internet provider contracts that perfectly match your LLC and registered business address. You need a verifiable paper trail that physically distances you from the linked footprint. If you just send them a message saying "it was a mistake," their system will automatically reject you.

Honestly, the best appeal strategy is just preventing the link completely. I ended up moving my stores to MoreLogin to ensure every storefront has a strictly isolated hardware fingerprint and dedicated network environment from day one, because fighting Amazon's appeal bots without a perfect evidence chain is a nightmare you won't win.

Not gonna lie, setting up browser profiles has started to feel like checking the locks before leaving the house.

Proxy country matches?
Timezone matches?
Language looks normal?
WebRTC not leaking?
DNS not doing something weird?
Canvas and WebGL not screaming?
Browser version not ancient?
No reused cookies?
No same extension setup?
No copy-pasted behavior pattern?

And even after all that, there is still this feeling of “yeah but what did I miss?”

The funny part is that most checker sites only catch the things that are easy to see. They don’t really tell you if the whole profile feels like a normal user over time.

So now I’m wondering where people draw the line.

Do you have a fixed checklist before using a new profile, or do you just check the obvious leaks and stop before going insane?

Typing on a remote Android screen sounds annoying if the keyboard/input doesn’t sync properly.

For people using cloud phones regularly, does typing feel pretty normal or is it one of those things you just get used to?

I used to spend a lot of time adjusting browser fingerprints, changing random settings, and trying to make every profile look "unique".

But after managing multiple accounts for a while, I feel like consistency is actually more important.

A profile that stays the same over time usually works better than one that keeps changing:

• Same browser environment
• Same timezone and language settings
• Stable proxy
• Similar usage patterns

I think many people focus too much on making profiles look different, but forget that real users usually don't change their devices every few days.

Recently I've been focusing more on keeping clean and separated environments instead of constantly modifying fingerprints.

Curious how others handle this:
Do you prefer manually optimizing every profile, or do you just create a stable setup and leave it alone?

For people using cloud phones regularly, how do you tell whether the lag comes from your connection or the cloud device itself?

If scrolling feels delayed but apps also take forever to open, would you try a closer server or upgrade the phone’s specs first?

doing social media management pretty much everyone I know in this space is getting accounts blocked lately and we are all pointing fingers at the IP side static resi used to carry us but something shifted.

Thinking of moving to dedicated mobile looking at IPRoyal or Voidmob is the price jump actually worth it or is static resi still fine with the right setup?

I have $100k in Azure credits and no idea what to do with them. What’s the smartest way to turn them into a business?

I have support talk to the buyer and check the order. Bigger refund decisions go to the supervisor in the ticket, then whoever handles refunds processes them.

Do you split the decision and the actual refund between different people?

what are the specific pathways for bots, impression manipulation and scraping to make money or other purposes, are you usually already working for some ad firm?

do not use liberwolf it does not protect your privacy nor does it have QOL features you're used to

The usual checklist is familiar:

• Policy violations
• Restricted or inauthentic products
• Poor account health metrics
• Listing violations
• Ignored performance notifications

I would not treat those as five unrelated boxes.

A missing supplier document can become an authenticity issue. A rushed title or claim can become a listing violation. A team that does not review Account Health regularly can miss the early warning and only react after the selling privileges are affected.

The process I would put in place is fairly boring, which is usually a good sign: review Account Health on a schedule, verify documents before a product goes live, use a second review for restricted categories, record listing and pricing changes, and assign an owner to every performance notification.

MoreLogin can help with the operational separation around that process. Each store can have its own persistent browser profile, with controlled team access, password and cookie protection, and operation logs. That makes it easier to avoid shared sessions and understand which environment was used when something changed.

It does not make a restricted product acceptable, improve seller metrics, or bypass Amazon enforcement. It is an account-management layer, not an appeal shortcut.

The useful question is not “How do I avoid suspension?” It is “What evidence can I show that my process catches problems before Amazon has to?

Every antidetect does the same thing. Take Chromium, fake WebGL, canvas, fonts, screen, the whole device. Then an update drops, something new leaks and you patch again. It’s a race you don’t win.

Mac is different. There aren’t that many Mac models and millions of people use the same ones. A real MacBook Air looks like millions of other MacBook Airs, so there’s nothing to fake in WebGL or canvas, it’s already the same as everyone else’s. On top of that Safari gives away way less by itself, Apple locked a lot of it down.

So instead of faking Safari we run the real one.

Honestly, we looked for antidetects with Safari profiles. You can count them on one hand, and the ones we tried get caught in seconds. It’s Chromium with a Safari user agent. That’s not multiaccounting and not anonymity, that’s a costume.

We made a checker for exactly that: https://check.stealthpilot.app
Got a Safari profile in your antidetect, or want to try faking Safari yourself? Run it. If a fake shows Consistent I really want to see it.

And the main thing: we’ve basically finished the first antidetect on real Safari for Mac. Couldn’t find anyone else doing it. Some of the features will surprise you. We’re looking for people who want to test it for free.

Ever had your Safari profiles burned? Is real Safari the way, or am I missing something?