"cutx exhibits aggressive data collection and sharing practices characteristic of high-risk financial services. The service collects extensive sensitive data including Social Security numbers, device location, contacts, images, and biometric identifiers while sharing this data broadly with advertising networks and third-party partners. Combined with cross-site behavioral tracking through cookies, session replay, and device fingerprinting—while explicitly rejecting Do Not Track signals—cutx places users at significant privacy and security risk comparable to Facebook/TikTok-level practices."
cutx Privacy Concerns & Scorecard
Collection of highly sensitive personal and financial data including Social Security numbers, device location, contacts, images, videos, and biometric identifiers without granular consent mechanisms.
Broad sharing of sensitive data with advertising networks, data processors, and external business partners for behavioral tracking and advertising purposes with minimal restrictions.
Comprehensive cross-site behavioral tracking through first-party and third-party cookies, pixel tags, web beacons, and session replay technology with explicit rejection of Do Not Track signals.
Severely limited opt-out options with explicit rejection of Do Not Track signals and cookie opt-outs requiring workarounds (Google Ads Settings external link) rather than native controls. Declining cookies significantly impacts service functionality.
Data retention policies not explicitly specified in provided policy segments, creating uncertainty about permanent storage and deletion timelines.
No recommended actions at this time.
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Data Collection & Tracking
Personal Information Collected
Account creation, identity verification, fraud detection
Fraud detection, service personalization, location-based targeting
Authentication, device fingerprinting, fraud detection, service functionality
Peer-to-peer payments, instant payments, identity verification, fraud detection
Site optimization, advertising effectiveness measurement, targeted advertising, product popularity determination
Cross-Platform Tracking
cutx tracks users across websites and applications through first-party and third-party cookies, pixel tags, and device fingerprinting (MAC address, IP address, device identifiers). Session replay technology captures interactions across sessions. Remarketing pixels and Microsoft Advertising integration enable behavioral tracking across external sites. Social media widgets and integrations allow external platforms to access browsing information.
Tracking Methods:
First-Party & Third-Party Cookies
Cookies used for determining product/service popularity, online activity tracking, authentication, and targeted advertising. Browser cookie settings can be modified but declining cookies significantly impacts service functionality and personalization.
Session Replay Technology
Microsoft Clarity session replay captures user interactions, clicks, form entries, and navigation patterns to record complete user sessions for behavioral analysis and optimization.
Pixel Tags & Web Beacons
Pixel tags and clear GIFs measure marketing campaign effectiveness and track user actions across websites. Also used for remarketing to serve tailored ads on third-party sites.
Heatmaps
Microsoft Clarity heatmaps visualize where users click, move the mouse, and scroll on pages to understand user behavior and optimize site design.
Device Fingerprinting
Collection of MAC address, IP address, device type, screen resolution, operating system version, and browser characteristics enables persistent identification across sessions and devices.
Flash Objects
Flash objects used for authentication recognition and persist even after cookie deletion; can be disabled through Adobe interface settings.
AI & Data Training
cutx does not train AI on your content
Based on their public policy, your content is not used to train AI models.
How to Object
No opt-out available
This service does not currently provide a public way to opt out of AI training.
Why We Analyzed cutx
TrueTerms automatically audits privacy policies and data practices using advanced machine learning to keep you informed and protected. This scorecard is based on the latest available public terms of service and privacy policies as of 2026.