Security Scan Report: started-io-trezo.netlify.app

Submitted: Completed: publiccompleted
This website contacted 4 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is started-io-trezo.netlify.app.

Submitted URL: https://started-io-trezo.netlify.app/

AI Security Verdict

High Risk

Confidence: 85%

9
Risk Score

Impersonates Trezor on a new unranked Netlify domain – likely phishing.

Risk Factors (3)
Brand impersonation on an unusual, unranked domain
Newly registered / unknown domain age
Lack of official Trezor domain (trezor.io) in final URL
Domain age information unavailable

Details

Page Title

Trezor.io/Start® - Starting Up Your Device - Trezor®

Scan Type

public

Domain Name Analysis

The domain name 'started-io-trezo.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'started-io-trezo'. Count 7 characters in 'netlify' split between two vowels and five consonants. Breaking it apart gives 3 words: net, li, fy. Median word length comes out to two characters. 'neto' is most common in Esperanto usage. It also appears in Bosnian and Serbian contexts.

Screenshot

TREZOR Products App Coins Leam Support Congratulations on getting your Trezor! Setup & take control of your Trezor with our desktop app. All of your digital assets in one secure place. —— Select y...

Page Load Overview

12.86s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,944 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
cryptocurrency blockchain
46%
education learning
42%
documentation technical
34%
cryptocurrency
22%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
035.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
24--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13082822A75F73003558396A96BF317563A61D407CE0ECA183EAD5284DFC6A82FC9378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BUSLcBRN9gF3kC2rCO+Rg0xzgwF2xX6yJMoLwkqSfjjffLKsRAj:B9LIMfrockqSf3ffLKsRi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18117:kxRkgdiAACCXuPBA5MABZJAqcBARACgGAaRKJAgqCFRSUtRpwsACgHEAKQCtAYAghogABpXVhico6ACwQwBCB0OwgcmdgEkk

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:f9c2c0c6e7fffb8b
Perceptual Hash:f1634cce8acb13c3
Difference Hash:4b865c5a0c0a2a2a
Wavelet Hash:f8c0c0c0e7ffc383
Color Hash:N/A

Other Hashes

Crop Resistant:4b865c5a0c0a2a2a

Scan History

Scan history not available

Unable to load historical scan data