WebRTC

1. What is WebRTC Fingerprinting

WebRTC (Web Real-Time Communication) is an open-source project that enables real-time communication like voice calling, video chatting, and peer-to-peer data sharing directly in modern web browsers.

While it’s a powerful technology for communication, WebRTC also provides a set of fingerprinting capabilities for trackers. Specifically, WebRTC can expose both the public and local IP addresses of a user’s device by negotiating peer-to-peer connections through STUN servers.

This fingerprinting method typically includes:

• Local (LAN) and public (WAN) IP addresses
• ICE candidate lists, including internal and NAT IPs
• Browser support for codecs, protocols, and features

These details are difficult to read through traditional methods but are accessible via WebRTC APIs, making them a widely used identifier for tracking and device fingerprint detection.

2. How Platforms Detect WebRTC Fingerprints

Web platforms and anti-fraud systems leverage WebRTC signals to identify and associate user sessions:

1. IP Leak Detection: Through WebRTC’s STUN requests, websites can extract real IP addresses, even if a user is using a proxy or VPN.
2. STUN Server Communication: Most browsers initiate requests to public STUN servers by default. Platforms can monitor or record these requests to trace the actual source of traffic.
3. Feature Detection: Browsers with different versions and engines support different sets of WebRTC protocols and codecs. This can be used as part of the fingerprint to identify browser types and environments.
4. Domain IP Association: By triangulating a user’s IP address, WebRTC information, and browser fingerprint, platforms can flag suspicious behaviors like multi-accounting or identity spoofing.
5. Behavioral Fingerprinting: Some systems track how WebRTC connections are made, timing data negotiation steps, or measuring ICE candidate types to detect automation or fake environments.

These techniques are often used in scarecrow-type anti-bot platforms and are considered crucial in uncovering session impersonation and fake browser behaviors.

3. How FlashID Generates WebRTC Fingerprints

FlashID offers full control over WebRTC data exposure and allows users to customize their WebRTC fingerprint and IP information to ensure complete anonymity and anti-account association.

Here’s how FlashID handles WebRTC fingerprinting:

1. WebRTC IP Spoofing and Masking: FlashID blocks automatic extraction of real or local IP addresses via WebRTC. When a WebRTC request is made, it only exposes the IP and location information configured within the browser profile — not the host machine’s actual IP.
2. Custom ICE Candidate Control: FlashID modifies and controls how the browser gathers ICE candidates, providing virtualized, consistent, and可控 WebRTC response behavior.
3. Fully Toggleable WebRTC: Users can choose to enable or disable WebRTC entirely for specific profiles, depending on the target platform’s requirements or detection levels.
4. STUN Server Filtering: FlashID prevents or modifies outgoing STUN server requests to avoid signal tracking or IP exposure.
5. Randomized Feature Sets: FlashID simulates WebRTC feature compatibility (codecs, APIs, protocols) based on the browser and OS profile, avoiding mismatches and machine-learning-based anti-spoofing measures.
6. Multi-Profile Isolation: Each browser profile has unique WebRTC behavior that matches its set location, proxy, and fingerprint, preventing account association between virtual browsers.

With FlashID’s intelligent WebRTC handling, you’re protected not only from IP leaks, but also against advanced browser fingerprinting mechanisms that rely on WebRTC communication patterns to flag or track users.

You May Also Like