Security Scan Report: trezurbridge.wixstudio.com

Redirected to: https://trozr-cv56.kjgt65yh.workers.dev/

Submitted: Apr 15, 2026, 2:50:40 AMCompleted: Apr 15, 2026, 2:52:12 AMpubliccompleted
Loading additional data...

Summary

This website contacted 7 IPs in 1 country across 9 domains to perform 19 HTTP transactions. The main domain is trozr-cv56.kjgt65yh.workers.dev and was registered NaN years ago.

Submitted URL: https://trezurbridge.wixstudio.com/en-us

Effective URL: https://trozr-cv56.kjgt65yh.workers.dev/Redirected

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site mimics Trezor Bridge on an unranked, possibly new workers.dev subdomain with no forms but suspicious code; treat as moderate risk brand impersonation.

Risk Factors
Brand impersonation on unranked domain
Typosquatted domain name (trezur vs trezor)
Redirect to unknown-age workers.dev subdomain
Suspicious JavaScript eval and dynamic code generation
Safety Factors
No login or payment forms
No credential exfiltration detected
No malicious Indicators of Compromise or YARA matches
Parent domain wixstudio.com is well‑established (over 9 years old)
Domain age information unavailable

Details

Page Title

Why Use Trezor Bridge® for Crypto Security™

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(45%)

Domain Information

The domain name 'trezurbridge.wixstudio.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'trezurbridge'. Its registrable label 'wixstudio' stretches across 9 characters with four vowels and five consonants. Splitting it apart reveals three words: wi, x, studio. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://trezurbridge.wixstudio.com/en-us

Page Load Overview

8.53s
Total Load Time
93
HTTP Requests
8
Domains
598 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:214 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
45%
documentation technical
44%
technology software
33%
cryptocurrency blockchain
29%
adult content
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1534.149.206.255Kansas City, Missouri, United States
AS396982Google LLC
1334.195.135.110United States
1334.49.229.81Kansas City, Missouri, United States
AS396982Google LLC
1365.8.131.77United States
1334.144.206.118Kansas City, Missouri, United States
AS396982Google LLC
13151.101.130.217United StatesUnknown
1334.160.37.117Kansas City, Missouri, United States
AS396982Google LLC
937--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166749F74E301B53D4E27229F6789BB0C512960519D02472EFAEDA16406D7FE623F3B3A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RdzrTQ8IIxlYlFuZuHuftVcoskUgFvEoVavKiWjebmlTK4weiwi+n4bYSRWk12YZ:RdzA8IYlYlng3Ohi+4we54x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:364176:VAFEoGcCQoAvTA8UAizlgpQU5JRGEQUAkwrClkAEj+AMxWs74SUjQCoCADwYhEgLgCDsFJBID4wCiEjOBJACQpoWCBxc4g0p

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:838383833fbf9f9f
Perceptual Hash:bf6c98c3c1e1b0c3
Difference Hash:3a663e7b7a5c5878
Wavelet Hash:830307833f8f8f1f
Color Hash:#c5878e

Other Hashes

Crop Resistant:3a663e7b7a5c5878

Scan History

Scan history not available

Unable to load historical scan data