Hardware

Device Memory

RAM amount detection

Live Playground

Analyzing your browser...0%

API Docs

Endpoint

GET /api/fingerprint/device-memory

Examples

About

Device memory fingerprinting detects approximate RAM amount via navigator.deviceMemory (in GB). Browsers round and cap this value for privacy: mobile devices report 1-8 GB, consumer laptops report 4-16 GB, workstations report 32+ GB. Low values (1-2 GB) indicate budget mobile devices or old hardware, 4-8 GB represents mainstream devices, 16-32 GB suggests power users or professionals, 64+ GB indicates workstations or servers. This correlates strongly with device price, purchase date, and user needs. Professional users in fields like video editing, machine learning, or software development typically have higher RAM. The value is stable unless hardware is upgraded.

Use Cases

•Hardware capability
•Device price tier
•User profiling
•Performance estimation

Other Fingerprints

Compare related fingerprint signals

Move from this collector to the CreepJS signal index, live checker, API docs, and other high-value fingerprinting explainers.

Core pages

Browser Fingerprinting PlatformRun a privacy-first browser fingerprint check and learn what websites can infer about your device.Fingerprint CheckerTest your browser privacy with a live fingerprint scan, collector coverage, and privacy leakage analysis.IP Risk CheckerCheck IP risk, ASN, geolocation, proxy, VPN, Tor, datacenter, and routing signals through the CreepJS API.Browser Fingerprint SignalsBrowse the full CreepJS library of browser fingerprinting signals, including canvas, WebGL, WebRTC, fonts, storage, and privacy checks.DocumentationRead the CreepJS API, SDK, collector, and integration documentation for privacy-first browser fingerprinting.API PlaygroundGenerate a token, inspect sample payloads, and test CreepJS browser fingerprinting API calls.What Is Browser Fingerprinting?Learn how browser fingerprinting works, which signals are collected, and how privacy tools reduce tracking.

Popular fingerprint signals

Canvas FingerprintCanvas rendering fingerprint based on how the browser draws graphics. Test your browser's unique canvas signature.WebGL FingerprintWebGL GPU information and rendering capabilities. Detect your graphics card and WebGL implementation.WebRTC FingerprintWebRTC capabilities and IP leakage checks. Detect peer connection support and potential network exposure signals.Anti-Fingerprinting DetectionDetection of privacy tools and browser modifications. Identify fingerprint resistance.Navigator InformationBrowser navigator properties and user agent information. Analyze browser capabilities and settings.Font DetectionInstalled system fonts detection. Discover which fonts are available on your system.