Topic
WebRTC
Google Releases Chrome Update Fixing 11 Vulnerabilities Including Critical WebGL Flaw
Vulnerabilities & Exploits
UDP Proxies and QUIC Protocol: How Real IP Addresses Leak Through Anti-Detect Browsers
Privacy & Surveillance
Digital Surveillance in Your Pocket: Audit Uncovers Tracking and Weak Cryptography in 11 Top Russian Android Apps
Privacy & SurveillanceGlassbox Tool Exposes Browser Fingerprinting Risks and Limitations of Incognito Mode
Developer and security researcher David Dale has released Glassbox, an open tool that runs over 30 browser fingerprinting checks to show how identifiable a user appears to trackers. The service evaluates Canvas, WebGL, installed fonts, WebAssembly functions, available APIs, third-party authentication state, and audio processing characteristics entirely in the browser. Results include raw test data and an identifiability score capped at roughly 33 bits, sufficient in theory to single out one person among the global population. Tests reported by The Register showed Chrome at 99 percent identifiability, Firefox at 89 percent, and Tor Browser at 56 percent, though these figures rely on a mathematical model rather than real-world visitor databases. Dale warns that overly hardened configurations can increase uniqueness and recommends using Tor or VPN together with WebRTC leak prevention to blend into larger anonymity sets.
Manic Android Malware Steals PINs via Transparent Overlay and Relays Data Through Nearby Infected Devices
A newly identified Android malware strain named Manic merges banking trojan, spyware, and remote access capabilities. The threat has been active since at least February 2026 and continues to receive updates that add anti-analysis features, in-memory code loading, and lock-screen credential theft. Manic monitors 169 financial, messaging, and government applications while using a transparent overlay on legitimate numeric keyboards to capture PINs without displaying a full fake banking screen. Stolen data can be forwarded through other compromised nearby devices even when the original phone lacks internet connectivity. Operators also leverage WebRTC sessions for live screen viewing and remote interaction. The malware additionally functions as a keylogger, intercepts SMS and notifications, and collects passwords, one-time codes, and recovery phrases. Security researchers recommend avoiding unknown APKs and scrutinizing requests for Accessibility Services or broad device control permissions.
Aurorium Anti-Detect Browser Uses AI Fingerprinting Linked to Real Hardware and User Profiles to Evade Modern Anti-Fraud Systems
Aurorium is an anti-detect browser that differentiates itself from competitors by embedding spoofing directly into the browser kernel rather than relying on JavaScript patches. The product generates fingerprints using AI that analyzes the operator’s actual device hardware and matches it to a realistic social profile including age, income, occupation, and geography. Network routing is handled at the kernel level so that WebRTC and DNS traffic is forced through proxies without disabling features that anti-fraud systems flag. The company also published a detailed Cure53 security audit that identified and subsequently fixed four critical vulnerabilities. Team-oriented features include built-in CRM, task management, multi-team support, and a mobile application. The review highlights that Aurorium’s approach reduces the common mismatch between generated fingerprints and the supposed user’s real-world context that often triggers detection.