Porównanie Przeglądarek Anti-Detect: Przegląd Techniczny
Most anti-detect browser reviews compare pricing tables and feature lists. That tells you nothing about the one thing that matters: whether the browser actually survives detection.
We tested six major anti-detect browsers against real-world detection systems — not just the vanity scanners that most vendors link on their landing pages. Here's what we found, what failed, and which browser actually deserves your money depending on what you're doing.
What Anti-Detect Browsers Do
An anti-detect browser isolates browser profiles so each one appears to be a completely different device. This means separate cookies, separate storage, and — critically — separate fingerprints.
A standard Chrome profile shares the same canvas hash, WebGL renderer, audio fingerprint, and navigator properties as every other profile on your machine. Platforms like Facebook, Google, and Amazon use these signals to link profiles to the same physical device. Anti-detect browsers spoof these values per-profile so each one looks like an independent machine.
The core technology stack involves:
- Chromium-based engine with modified fingerprint APIs (canvas, WebGL, audio, fonts)
- Profile isolation — separate local storage, cookies, IndexedDB, service workers
- Proxy binding — each profile routes through its own IP address
- Timezone, language, and geolocation spoofing to match the proxy location
- User-agent and platform modification to present a consistent device profile
The quality difference between browsers comes down to how completely they cover these vectors and how consistently the spoofed values hold up under scrutiny.
The Major Players Compared
We tested six browsers over a 90-day period, running 50 profiles each through a standardized detection battery.
| Feature | Multilogin | GoLogin | AdsPower | Dolphin Anty | Incogniton | VMLogin |
|---|---|---|---|---|---|---|
| Engine | Mimic (Chromium) + Stealthfox (Firefox) | Orbita (Chromium) | Sun Browser (Chromium) | Anty (Chromium) | Chromium | Chromium |
| Canvas spoofing | Hardware-based noise | Noise injection | Noise injection | Noise injection | Noise injection | Noise injection |
| WebGL spoofing | Full renderer + vendor | Renderer string only | Renderer + unmasked | Renderer + vendor | Partial | Renderer only |
| Audio spoofing | Full AudioContext | Basic | Full AudioContext | Full AudioContext | Partial | Basic |
| Font masking | Custom font sets | Randomized subsets | Platform-matched sets | Randomized | Limited | Randomized |
| TLS fingerprint | Matched to browser version | Default Chromium | Partial matching | Default Chromium | Default Chromium | Default Chromium |
| Team collaboration | Full (cloud profiles) | Yes | Yes | Yes | Yes (cloud) | Limited |
| Pricing (100 profiles) | ~$150/mo | ~$50/mo | ~$50/mo | ~$90/mo | ~$30/mo | ~$60/mo |
| Detection pass rate* | 94% | 78% | 82% | 86% | 68% | 72% |
*Detection pass rate measured against CreepJS, Pixelscan, BrowserLeaks, and three proprietary platform detection systems.
Multilogin remains the technical leader. Its dual-engine approach (Mimic for Chromium, Stealthfox for Firefox) gives it coverage that single-engine browsers can't match. The hardware-based canvas noise — generating noise from the spoofed GPU parameters rather than just adding random pixels — survives detection methods that catch basic noise injection. The cost reflects this: it's the most expensive option by a significant margin.
Dolphin Anty is the best mid-range option. Its AudioContext and canvas spoofing hold up well, and the team collaboration features are genuinely useful for agencies managing multiple clients. The Chromium-only limitation means you miss Firefox fingerprint patterns, but most operations don't need that.
GoLogin and AdsPower compete on price. GoLogin's Orbita engine is adequate for low-scrutiny platforms but leaks on advanced detection. AdsPower performs slightly better on WebGL consistency but has timezone-locale mismatch issues we consistently observed.
Incogniton and VMLogin are budget options with corresponding limitations. Their partial fingerprint coverage means you're gambling on which vectors the target platform checks.
Detection Testing Methodology
Comparing detection pass rates requires testing against systems that actually matter, not vanity scanners.
Our testing battery:
CreepJS — the most comprehensive open-source fingerprint analyzer. It checks for lies (inconsistencies between reported and actual values), which is more revealing than just collecting fingerprints.
BrowserLeaks — systematic coverage of individual vectors: canvas, WebGL, fonts, audio, media devices, WebRTC.
Pixelscan — specifically designed to detect anti-detect browsers. It checks for known noise patterns, Chromium patches, and fingerprint consistency.
Real platform detection — we ran accounts on Facebook Business Manager, Google Ads, and Amazon Seller Central for 30 days each. Account survival rate is the only metric that matters.
Cloudflare Bot Management — access to sites behind Cloudflare's paid bot detection, which uses JA3/JA4 TLS fingerprinting in addition to behavioral analysis.
The gap between scanner results and real platform survival is significant. A browser might pass CreepJS at 95% but lose accounts on Facebook at 40% because Facebook's detection includes behavioral signals and cross-session correlation that scanners don't test.
The Weaknesses Nobody Mentions
Every anti-detect browser vendor shows you their best test results. Here's what they don't talk about.
WebRTC leaks persist. Even with WebRTC "disabled," several browsers leak local IP addresses through STUN requests during WebRTC negotiation. We observed this in GoLogin and Incogniton during our testing. The fix requires either completely disabling WebRTC at the network level or properly proxying STUN/TURN traffic through the profile's proxy.
Font enumeration is inconsistent. When a browser claims to be running macOS but has Windows-specific fonts in its enumeration list — or vice versa — detection systems flag this immediately. AdsPower and VMLogin both had font sets that didn't match their reported operating system in default configurations.
Timezone-locale-IP mismatches. The browser reports America/New_York timezone, the language is set to en-US, but the proxy IP geolocates to Germany. This three-way consistency check catches operators who configure proxies and fingerprints independently without cross-referencing. We saw this most often with GoLogin's automatic configuration.
Canvas noise patterns are detectable. Basic noise injection adds random pixels to the canvas output. Detection systems now compare multiple canvas renders from the same session — if the noise is random each time, that itself is a signal (real hardware produces identical renders). Multilogin's hardware-based approach avoids this; most others don't.
CDP (Chrome DevTools Protocol) leaks. Anti-detect browsers built on Chromium still expose CDP endpoints in some configurations. Advanced detection checks for the presence of Runtime.evaluate, Page.addScriptToEvaluateOnNewDocument, and other CDP artifacts that indicate programmatic control.
Choosing Based on Use Case
The right browser depends on what you're doing, not which one has the most features.
High-scrutiny platforms (Facebook, Google, Amazon): Multilogin is the only browser we'd recommend for operations where account loss has significant financial consequences. The 94% detection pass rate and proper TLS fingerprint matching justify the premium price. Budget: $150-300/month for 100-300 profiles.
Mid-scrutiny platforms (e-commerce, forums, social): Dolphin Anty offers the best balance of detection avoidance and team workflow. Its profile sharing and task assignment features make it practical for agencies. Budget: $90-200/month.
Low-scrutiny platforms (directories, review sites, classifieds): GoLogin or AdsPower are adequate when the target platform's detection is basic. These platforms primarily check IP and cookies rather than advanced fingerprinting. Budget: $50-100/month.
Testing and development: Incogniton's free tier (10 profiles) is sufficient for testing configurations before deploying on a paid browser. Don't use it for production operations.
Scale operations (1000+ profiles): At this scale, consider building custom Chromium with your own fingerprint patches. The per-profile cost of commercial browsers becomes prohibitive, and you gain control over update timing and fingerprint generation. This requires a dedicated engineer and 2-3 months of development, but the operational cost drops to near-zero per profile.
FAQ
Are anti-detect browsers legal? The browsers themselves are legal. Using them to commit fraud, impersonate others, or violate platform terms of service creates legal risk proportional to the activity. Operating multiple advertising accounts, for example, violates terms of service but isn't criminal. The legal analysis depends on what you're doing, not what browser you're using. See our ethics framework for a structured evaluation.
How often do detection systems update? Major platforms update detection weekly to monthly. Anti-detect browsers typically lag by 2-6 weeks. This creates windows of vulnerability after platform updates. Multilogin and Dolphin Anty have the fastest response times to detection changes.
Can I use anti-detect browsers on mobile? Native mobile anti-detect is limited. Most solutions use either emulated mobile user agents on desktop browsers (detectable via screen touch events and accelerometer APIs) or cloud phone services that provide real device access. Neither is as mature as desktop anti-detect. See mobile fingerprinting for the current landscape.
Are cloud browser services a viable alternative? Cloud browsers eliminate local setup but introduce new risks: shared infrastructure means other users' behavior can affect your IP reputation, and the provider has full access to your sessions. For high-security operations, local execution is always preferable.
What about Brave or Tor Browser? Brave's fingerprint randomization and Tor Browser's standardized fingerprint serve privacy goals but fail operational ones. You need consistent, persistent fingerprints per profile — not randomized ones that change every session. These browsers protect anonymous browsing, not multi-account operations.