Security Scan Report: beginapps-trezorcdn.framer.website

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Submitted: Completed: publiccompleted
This website contacted 15 IPs in 2 countries across 6 domains to perform 23 HTTP transactions. The main domain is framer.website and was registered 4 years 12 months ago.

Submitted URL: https://beginapps-trezorcdn.framer.website

AI Security Verdict

Moderate Risk

Confidence: 62%

5
Risk Score

Unofficial Framer-hosted page dressed in Trezor branding, but it disclaims affiliation, collects no credentials or payments, and carries no malware or threat-intel hits. Misleading branding only.

Risk Factors (4)
Brand-styled title/meta emulating the official Trezor start page on a non-Trezor domain
Disclosure of non-affiliation appears only in body text while title and social meta tags imply official branding
Unranked domain on a free shared-hosting subdomain with no attributable registration age
Crypto hardware-wallet setup topic is a high-value social-engineering target
Safety Factors (4)
Explicit disclaimer stating the page is not official and not affiliated with Trezor or SatoshiLabs
No forms, login fields, password fields or payment fields anywhere on the page
Advises users to type trezor.io/start directly or use a verified bookmark, and never to enter a recovery seed into a website
No Indicators of Compromise, no JavaScript malware, no network IDS alerts
Domain age information unavailable

Details

Page Title

Trézor.io/Start — Starting Up™ Your Device | Trézor®

Scan Type

public

Domain Name Analysis

You're looking at domain 'beginapps-trezorcdn.framer.website' on the .website top-level domain with subdomain 'beginapps-trezorcdn'. The second-level label 'framer' is 6 characters long holding 2 vowels versus four consonants. It segments into 1 word: framer. No strong language cues emerged from the frequency lists.

Screenshot

Hardware wallet selup guides Open the official Trezor setup page” Trezor Setup Guide J ceatures) [Security] Independent educational resource: This page fs not the official Trezor website, For genuin...

Page Load Overview

0.54s
Total Load Time
250 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:5,765 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
72%
education learning
70%
cryptocurrency blockchain
63%
documentation technical
57%
finance banking
31%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
931.43.161.6Aws · CLOUDNetherlands
AS16509Amazon.com, Inc.
118.64.211.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1143.204.181.93Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
165.9.130.104Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
165.8.131.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
131.43.160.6Aws · CLOUDNetherlands
AS16509Amazon.com, Inc.
1143.204.181.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1143.204.181.70Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1143.204.181.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
165.9.130.122Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2315--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16193E197616AF1656CD7253EDB6DE1289D312442FE32C38B729E820F4FC9AF4129271C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:eo7BVxVPL3ItieSlkXe7VkaVlaa9VIalVbVe9V4w4VkvvdrUxhBBG1x:zT99G1x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90916:EgGQQQGwcAg5MQTGgYFEDEzgpqUKgAyWB4NOgHAOAATQAGBWCA2VRESFoiDBiIpdACWkQGLkgAQDIJEUYOFQZmoInAMTmRiQ

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:e7c3f3f1f1d1ffff
Perceptual Hash:ed339264c792c792
Difference Hash:8c0f230723273700
Wavelet Hash:c38181d1d181cfff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data