Security Scan Report: help-base-start.netlify.app

Submitted: Oct 27, 2025, 10:43:59 AMCompleted: Oct 27, 2025, 10:45:45 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 90%

8
Risk Score

Phishing page impersonating Trezor on an untrusted, likely new domain.

Risk Factors
Brand impersonation of Trezor on an unrelated domain
Social engineering detection by Google Safe Browsing
Unranked, likely newly registered domain
Absence of legitimate page content (502 error) indicating possible malicious hosting
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Domain Name Analysis

Domain 'help-base-start.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'help-base-start'. The registrable portion 'netlify' spans 7 characters with 2 vowels and 5 consonants. Segmentation suggests three words: net, li, fy. The median word length lands at two characters. 'neto' most often appears in Esperanto. Usage also turns up in Bosnian and Serbian contexts.

Screenshot

Security scan screenshot of https://help-base-start.netlify.app/

Page Load Overview

28.50s
Total Load Time
0 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Text Length:1,393 chars
Detector Agreement:50%

All Detected Languages

🇧🇩bn(100%)🇨🇳zh(0%)

Website Classification

Primary Category

cryptocurrency blockchain70% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
70%
technology software
67%
healthcare medical
64%
finance banking
60%
documentation technical
57%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
063.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
02a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
24--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A811A73DD11ABBC8581A36F9ED43CB3D191354883A7CF38058672E45A26ADD1B630E5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Wa7pY5Wo1DJwb1jhWJPRN6p1JZm07MNorcaZ:W+hWDJKjeN6pvZl7MNoIa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3891:AgQAAEDAERAgBAgBQIBCAEgABGkAGMAAAACRARJQBkAGABIQAAGoo4wgCQClUAACAEAACAQCRCAIEACAgCMAYCAQAhCADQCQ

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:3fffffffffffffff
Perceptual Hash:8707070f0f0f1f1f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#2d4386

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data