Veil
A stealth automation runtime for AI agents. Drives real Chrome over raw CDP — no Playwright, no Puppeteer, no WebDriver, zero runtime dependencies.

Veil driving real Chrome: bot.sannysoft.com all-green, then straight through Cloudflare's JS challenge — no patches, no plugins.
To Instagram, Google, Reddit, Cloudflare — Veil is Chrome. Same binary, sameTLS, same JS engine, same canvas/WebGL/font fingerprint a human's browser has. Wedon't reimplement the browser (that's Chromium's 20-year, 1000-engineer job, and ahand-rolled engine is easier to fingerprint, not harder). We replace the part thatgets you caught: the automation layer.
Why not Playwright / Puppeteer?
They're powerful and great for scripted QA. For agents on hostile sites they have three structural problems:
| Problem | Playwright/Puppeteer | Veil |
|---|---|---|
| Detectable | navigator.webdriver=true, --enable-automation, the Runtime.enable CDP tell, HeadlessChrome UA |
webdriver scrubbed, no automation switches, no Runtime.enable, UA + client-hints normalized |
| Robotic input | instant teleport clicks, fixed-cadence typing → behavioural detection | curved Bézier mouse paths, eased timing, human keystroke cadence |
| Brittle for agents | CSS/XPath selectors that break constantly | accessibility-tree snapshot → stable integer refs; agents never write a selector |
Veil is dependency-free — Node 24 / Bun ship a global WebSocket, so the entireCDP transport is ~120 lines we own. Nothing to patch, nothing to leak.
How Veil compares (honest)
The "real Chrome over raw CDP" idea isn't new — Python's nodriverpioneered it, and Camoufox (a C++-patched Firefox) scores evenbetter on pure stealth. Veil isn't claiming to out-stealth them. Its wedge is where itlives and how agents use it:
- TypeScript-native. The JS/TS agent ecosystem (Vercel AI SDK, LangChain.js, MCP) hasno strong raw-CDP stealth driver — it's stuck on Playwright + stealth plugins, orshelling out to Python
nodriver. Veil is that missing piece. - MCP-native. Ships an MCP server, so any agent gets stealth browsing as tools withzero glue.
- Agent-first, not scraper-first. Accessibility-tree refs and human input are built foran LLM driving the browser, not for a scraping script.
- Does two things the others don't. Drives the native "Sign in with Google" (FedCM)account chooser over CDP — agents are otherwise walled out of Google-SSO apps entirely —and blocks visited sites from port-scanning your localhost/LAN (on by default). Neither
nodriver, Camoufox, nor Playwright-stealth does either.
If you're in Python and just want raw stealth, use nodriver or Camoufox — they're great.Veil is for TypeScript agents and MCP hosts.
Quick start
Prerequisites: Chrome/Chromium on PATH (or VEIL_CHROME=/path/to/chrome), and Bun.
bun install
bun run examples/selftest.ts # launches real Chrome, runs the full chain
In your own project — bun add @achamm/veilbrowser (or npm install @achamm/veilbrowser):
import { Browser } from "@achamm/veilbrowser";
const browser = await Browser.launch({ headless: false }); // headful = stealthiest
const page = await browser.newPage();
await page.goto("https://example.com");
// Accessibility-tree snapshot → stable integer refs (no selectors).
const snap = await page.snapshot();
console.log(snap.text);
// [1] textbox "Search"
// [2] button "Sign in"
await page.fill(1, "hello"); // act by ref — human typing, jittered timing
await page.click(2); // curved Bézier mouse path, real CDP input
const png = await page.screenshot(); // PNG buffer for a vision model
await browser.close();
Python
There is a Python front end in python/ with the same core API:
pip install git+https://github.com/acunningham-ship-it/veilbrowser.git#subdirectory=python
import asyncio
from veilbrowser import Browser, Fingerprint
async def main():
async with await Browser.launch(fingerprint=Fingerprint.preset("windows-chrome")) as b:
page = await b.new_page()
await page.goto("https://example.com")
print(await page.title())
asyncio.run(main())
The stealth layer has one implementation, not two. The injected script, the launchflags, the profile identities and the keystroke table are generated from thisTypeScript source into python/veilbrowser/_assets/ by tools-gen-python-assets.ts,and tests/python-parity.test.ts fails the build if Python's assembled script differsfrom the TypeScript one by a single byte. That matters because a drifted stealth patchdoes not fail loudly — one front end simply becomes detectable while all of its owntests stay green. See python/README.md for the API and for what isdeliberately not ported.
How the stealth works
- Launch (
launcher.ts) — a real Chrome with the flags a normal profile uses,minus the automation switches Playwright adds.--disable-blink-features=AutomationControlledflipsnavigator.webdrivertofalseat the engine level. PersistentuserDataDirso the profile looks used (history, cookies), not freshly minted. - Transport (
cdp.ts) — raw WebSocket, flat session mode. We never callRuntime.enable— that command is a primary CDP detection vector.Runtime.evaluateworks without it. - Page patch (
stealth.ts) — injected viaaddScriptToEvaluateOnNewDocumentbefore any site code, on every frame. Every patch is self-gating: it firesonly when a value is genuinely anomalous (a stripped/headless env leakedwebdriver === true, 0 plugins, an emptylanguages, or a missingwindow.chrome),and is a no-op on a healthy real Chrome. That's the whole default surface — awebdriver/window.chrome/plugins/languagesbackfill, nothing more. Itdeliberately does not touchpermissions.query: a patchedpermissions.queryis itself a signature deep fingerprinters score as "stealth detected". WebGL-vendorspoofing (and the native-lookingtoString()mask that hides it) is opt-in viamaskWebgl— off by default, used only to disguise SwiftShader on GPU-less hosts;with a real GPU the authentic vendor is left untouched. Kept deliberately small;over-patching is its own fingerprint. - UA / client hints (
page.ts) — strips theHeadlessChrometoken from the UAand theSec-CH-UAbrand headers. - Human input (
human.ts) — seedable PRNG drives curved mouse paths andjittered keystroke timing.
Coherent fingerprints / profiles
By default Veil ships your real Chrome fingerprint — the strongest identity thereis, because nothing is spoofed. When you instead need to present a specificidentity (a Windows profile from a Linux server, a fixed profile across a pool),apply a Fingerprint. The design rule is coherence, not spoof-count: ahalf-spoofed profile is worse than none — if the UA says Windows but the clienthints, navigator.platform, or WebGL vendor disagree, that contradiction is itselfa detection signal. So a Fingerprint is applied as one internally-consistent set,and every derived value (client-hint platform, brand versions, Accept-Language) iscomputed from the profile so nothing can drift out of agreement.
import { Browser, type Fingerprint } from "@achamm/veilbrowser";
const fp: Fingerprint = {
userAgent: "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 " +
"(KHTML, like Gecko) Chrome/131.0.6778.86 Safari/537.36",
platform: "Win32", platformVersion: "15.0.0", architecture: "x86", model: "", mobile: false,
hardwareConcurrency: 16, deviceMemory: 8, languages: ["en-US", "en"],
screen: { width: 2560, height: 1440, availWidth: 2560, availHeight: 1400, colorDepth: 24 },
devicePixelRatio: 1,
webglVendor: "Google Inc. (NVIDIA)",
webglRenderer: "ANGLE (NVIDIA, NVIDIA GeForce RTX 3060 Direct3D11 vs_5_0 ps_5_0, D3D11)",
timezone: "America/New_York", locale: "en-US", seed: 12345,
};
const browser = await Browser.launch({ headless: false, fingerprint: fp }); // applied to every page
// or at runtime, before the first navigation:
await page.applyFingerprint(fp);
Don't want to hand-build one? Use a preset or a self-consistent random profile:
import { Browser, Fingerprint, PRESETS } from "@achamm/veilbrowser";
await Browser.launch({ fingerprint: PRESETS["mac-chrome"] }); // windows/mac/linux/android-chrome
await Browser.launch({ fingerprint: Fingerprint.random() }); // fresh coherent identity
await Browser.launch({ fingerprint: Fingerprint.random(42) }); // deterministic given a seed
Fingerprint.random(seed?) picks a platform first, then derives a matching UA,client hints, WebGL, screen and timezone — so a random profile is as internallyconsistent as a preset. Each preset is a real Chrome-131 identity for its OS (anApple-Silicon Mac still reports the frozen Intel Mac OS X 10_15_7 UA + MacIntelplatform with an arm architecture and an Apple Metal renderer — exactly as a realone does).
How it's applied (two layers). The bulk goes through Chrome itself — UA +the full userAgentMetadata client hints + the legacy navigator.platform, thescreen size + devicePixelRatio, and the timezone / locale / geolocation —all via CDP Emulation.*. These are set by the browser, so there is no JS getterto unmask — the strongest kind of spoof, and they resolve natively(Intl.DateTimeFormat().resolvedOptions().timeZone, navigator.language,navigator.geolocation). A US profile should carry a US timezone/locale (andoptional US coordinates) — a region that disagrees with the UA is a contradictiondetectors score. Onlythe values CDP can't set are injected as page-level overrides — hardwareConcurrency,deviceMemory, languages, screen.avail*/colour depth, the WebGL vendor/renderer(the two UNMASKED_* parameters), and deterministic canvas + audio noise. Everyone is defined on the prototype (inherited, so no own-property tell) with itstoString() masked to [native code] by a single Function.prototype.toString proxythat hides itself and leaves genuine native/user functions untouched — the samediscipline the base stealth uses.
The canvas/audio noise is seeded, not random per call: repeated reads of the samecanvas or audio buffer return identical bytes (a per-call random is itself a tell),while a different seed yields a different — but equally stable — hash. So a profilecarries its own consistent canvas/audio fingerprint instead of leaking the host's.
Honest scope: this is coherent fingerprint control, not a magic bullet. It letsyou present a consistent identity; it does not by itself defeat any particular hardtarget. navigator.oscpu is deliberately left unset (it's Firefox-only — a Chromeprofile exposing it would be an anomaly); screen.colorDepth follows the profile butthe rendered pixels still come from the host GPU, so keep webglVendor/webglRendererplausible for the platform you're claiming; and WebGL-canvas read-back (toDataURL ona WebGL canvas) is left to the vendor override, not noised.
Agent tooling (the other half of the product)
The selling point isn't only stealth — it's that agents drive it well:
snapshot()returns the page as a flat numbered index from the accessibilitytree (the semantic layer screen readers use). The #1 cause of agent breakage —guessed CSS/XPath selectors — is gone. The agent acts on a stableref.screenshot()returns a PNG buffer, ready for vision grounding — the viewport,the whole{fullPage}, a single element{ref}, or an explicit{clip}rectangle.click/fill/typedrive real CDP input with human dynamics.waitFor(expr)replaces flaky fixed sleeps — and, likeevaluate(), istimeout-bounded, so a wedged page rejects cleanly instead of hanging the agent.goto()returns{ status, ok }for the main response, so callers can detecta 4xx/5xx wall instead of only seeing a rendered error page.blockResources(types, {urls})drops image/font/media/etc. and URL-matchedrequests — a big speed and footprint win for scraping (shares one Fetch handlerwith the private-network guard, so both are active at once).
Federated sign-in (FedCM)
"Sign in with Google" one-tap and the newer navigator.credentials.get({identity})flows render their account chooser as native browser UI — the button is across-origin IdP iframe and the chooser is browser chrome, so no synthetic click canreach either. That's a wall for agents logging into Google-SSO apps. Veil drives itover CDP's FedCM domain instead:
// Passive / one-tap (fires on load once you're signed in to the IdP):
await page.enableFedCm(); // autoSelectFirst — picks account 0 for you
await page.goto("https://app.example.com/");
await page.waitForFedCmDialog(); // chooser intercepted + auto-selected
await page.disableFedCm();
// Active "Sign in with Google" button, one call:
const account = await page.signInWithFedCm({ triggerRef: btn.ref });
enableFedCm also resetCooldowns (Chrome silently suppresses the dialog afterrepeated dismissals) and binds account selection to the page's own CDP session — pickthe wrong target and the dialog, plus the page's credentials.get(), hangs forever.Enable it on demand, right before the sign-in: turning it on globally hangs anysite that silently probes FedCM at load. End-to-end run against the canonical demo IdP:bun run examples/fedcm.ts.
No localhost / LAN leak (private-network block)
Fingerprinters (iphey, pixelscan, …) don't read your process list — they can't.They port-scan 127.0.0.1 from page JavaScript, timing which local ports answer,and map open ports to software: VNC on :5900, an antidetect API on :3001, a devserver on :3000. That both fingerprints you and leaks your LAN to every site youvisit. Most stealth stacks (nodriver, Camoufox, Playwright-stealth) don't stop it.
Veil does, on by default. Every HTTP-family request (fetch/XHR/EventSource/<img>/<script>) from a page to a loopback or private (127.0.0.0/8, 10/8,172.16/12, 192.168/16, ::1, .localhost) address is failed uniformly andinstantly — the same error whether the port is open or closed — so a scan can't tellthem apart and comes back empty. (That's the vector real detectors use; the :3001antidetect API and :5900 VNC probes are plain HTTP.)
const browser = await Browser.launch(); // block is on
const browser = await Browser.launch({ blockPrivateNetwork: false }); // opt out
// per-page, toggle at runtime:
await page.blockPrivateNetwork();
await page.unblockPrivateNetwork();
Still allowed: the agent's own top-level navigation to a private host(page.goto("http://localhost:3000")), and a localhost page loading its own localhostresources — only a public page reaching a private host is blocked. Known gaps (honest):raw WebSocket to a private host isn't interceptable via CDP's Fetch domain, so thosefall back to Chrome's own Private Network Access (a timeout, not a uniform block); andexotic IP encodings (decimal/hex) aren't matched — real-world scanners use the canonicalforms above.
Detection scorecard (measured, Chrome 148)
Run it yourself: bun run examples/detect.ts (headless) or VEIL_HEADFUL=1 bun run examples/detect.ts (headful — Veil auto-starts its own Xvfb, no wrapper needed).
Measured on an AMD Radeon (Renoir APU) host, real hardware GL via ANGLE/EGL:
| Detector | Mode | sannysoft | CreepJS "headless" | CreepJS "stealth" |
|---|---|---|---|---|
| Veil — headful + auto-Xvfb + real GPU | recommended | 57/57 | 0% | 0% |
| Veil — headless + real GPU | server/fast | 57/57 | 33% | 0% |
| (earlier: SwiftShader + heavy stealth) | superseded | 57/57 | 67% | 20% |
Live targets — the full scrapingcourse.com challengesuite, reproducible with bun run examples/scrapingcourse.ts (residential IP, headful):
| Target | Result |
|---|---|
| Antibot Challenge | Bypassed — "You bypassed the Antibot challenge" (~3s auto-solve) |
| Cloudflare JS Challenge | Bypassed — "You bypassed the Cloudflare challenge" |
| Cloudflare Antibot + login | Bypassed — cleared the wall, rendered the real login form |
| Cloudflare Turnstile + login | Passed — managed Turnstile issues its token to real Chrome (a 700+ char cf-turnstile-response); the form submits. We don't solve a captcha — the real browser earns the token |
| Demo suite — JS rendering, infinite scroll, pagination, table parsing, load-more, CSRF/login | all served clean |
| Reddit — incl. its JS challenge | served clean (challenge auto-solved) |
| Instagram — public profile | served clean |
12/12 cleared on a clean residential IP. Two honest caveats, not hidden:Cloudflare's JS interstitial difficulty scales with IP reputation — hammer one IPand it escalates (that's IP rep, not a browser tell; use proxies at volume). And what wedo not yet claim: an interactive checkbox reCAPTCHA/Turnstile that demands a humanclick, enterprise DataDome/Kasada, and high-volume behavioural trust on logged-in sessions.We test before we claim.
What moved the needle (each verified by re-running the suite):
- Real GPU, not SwiftShader.
--use-gl=angle --use-angle=gl-egldrives the actualAMD GPU → an authentic, self-consistent WebGL fingerprint. No vendor spoof = no liefor CreepJS's pixel-hash to catch. - Headful on a server. Veil manages its own Xvfb display, so "headful" needs nodesktop. Eliminates the headless render quirks + tiny-screen tell (33% → 0%).
- Slim, self-gating stealth. The biggest surprise: the stealth patches themselveswere the "20% stealth" signal. A correctly-launched Chrome already reports
webdriver === false(the right human value — forcingundefinedis worse), 5plugins, a realchromeobject. So each patch now fires only when the value isgenuinely anomalous; on healthy Chrome it's a no-op. Smaller surface = nothing to detect.
Use from an AI agent (MCP)
Veil ships an MCP server (src/mcp.ts) — already wired into persoje(~/.config/persoje/mcp.json), exposing 33 tools: goto, reload, back, forward,snapshot, click, fill, type, select, press, scroll, set_viewport,set_user_agent, set_fingerprint, block_resources, unblock_resources, wait_for, wait_for_selector,click_at, get_cookies, text, attribute, screenshot, eval, upload,upload_via_picker, pdf, fedcm_enable, fedcm_signin, drag, frames, use_frame,close. Tool-execution failures comeback as isError results (the model reads and self-corrects) rather than JSON-RPC errors.Verified end-to-end through persoje's own MCP client (discover → goto → snapshot). Any MCP host works.
The package ships a veil-mcp bin, so an installed user can launch the server without acheckout — copy-pasteable into any MCP host:
{ "servers": { "veil": {
"command": "npx",
"args": ["-y", "-p", "@achamm/veilbrowser", "veil-mcp"],
"env": {} // headful + auto-Xvfb + real GPU (0% CreepJS).
// Set VEIL_HEADLESS=1 for the faster server mode.
} } }
Smoke-check the bin (returns the tools list, no browser launched):
echo '{"jsonrpc":"2.0","id":1,"method":"tools/list"}' | npx -y -p @achamm/veilbrowser veil-mcp
Local dev alternative (from a checkout, no build step):
{ "servers": { "veil": {
"command": "bun",
"args": ["run", "src/mcp.ts"] // run from the repo root
} } }
Testing
bun run examples/selftest.ts # end-to-end: launch, stealth, snapshot, interact
bun run examples/detect.ts # bot-detection scorecard (bot.sannysoft.com, etc.)
bun test # unit tests (browser-launching ones skip under CI)
DISPLAY=:98 python3 python/tests/test_smoke.py # 21 checks, Python front end vs real Chrome
Unit tests cover:
- PRNG (
human.test.ts): xorshift32 determinism, range/int bounds, keystroke cadence, mouse timing - Snapshot refs (
snapshot.test.ts): ref numbering (1-based, sequential, no gaps), AX-tree filtering - CDP framing (
cdp-messages.test.ts): JSON-RPC structure, sessionId routing, command/response correlation - Private-network classifier (
private-host.test.ts): loopback/RFC1918 vs public host detection (the block's decision) - Lifecycle (
lifecycle.test.ts, local only): launch/close, process-group reaping, profile-lock refusal - Python parity (
python-parity.test.ts): the Python front end's assembled stealth script is byte-identical to this one for every preset, the committed generated assets match what the generator emits now, and the injected scripts are pure ASCII (bun's transpiler corrupts non-ASCII insideString.raw)
Status
Working today (verified against Chrome 148):
- Zero-dep CDP runtime (raw WebSocket, flat session mode)
- Stealth launch + page-script injection (
--disable-blink-features=AutomationControlled) - UA/client-hint scrub (no "HeadlessChrome" token)
- WebGL backend selection (hardware GPU via ANGLE/EGL, or SwiftShader + vendor masking)
- AX-tree snapshot → stable integer refs for agent-friendly interaction
- Human-like input: curved Bézier mouse paths, jittered keystroke timing, real CDP input
- PNG screenshots (vision-model ready)
- Headful-on-server via auto-managed Xvfb — "headful" with no desktop (best fingerprint scores)
- FedCM sign-in — drives the native "Sign in with Google" /
credentials.get()account chooser over CDP (examples/fedcm.ts) - No localhost/LAN leak — blocks visited sites from port-scanning your private network (on by default)
- Clean process lifecycle — detached process groups + a reaper, so Ctrl-C/crash never orphans Chrome
- MCP server (
src/mcp.ts) — stdio JSON-RPC; persoje, Claude, any MCP host drives Veil natively
Roadmap toward production:
- Adversarial fingerprint suite — continuous scoring (CreepJS, sannysoft, Datadome demo)
Runtime.enable-leak hardening via isolated worlds for all eval- Profile + residential-proxy pools (the "Veil Cloud" layer)
- Vision-based element grounding fallback (sparse AX-trees, canvas apps)
- Response-body capture; session persistence & profile warm-up
- Per-tab concurrency (many tabs, one socket — transport already supports it)
License
MIT.