Security Scan Report: help-startusladger.gitbook.io

Submitted: Nov 15, 2025, 4:10:03 AMCompleted: Nov 15, 2025, 4:11:50 AMpubliccompleted
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Summary

This website contacted 12 IPs in 0 countries across 4 domains to perform 45 HTTP transactions. The main domain is help-startusladger.gitbook.io.

Submitted URL: https://help-startusladger.gitbook.io/us/

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

High‑risk phishing site impersonating Ledger.com

Risk Factors
Brand impersonation on an untrusted domain
UNRANKED domain with brand claims (typical of typosquatting)
Potential typo in subdomain (startusladger vs. startusledger)
Domain age information unavailable

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

Ledger.com/Start® -Seamless Integration Across Devices | en - US

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(98%)

Domain Information

The domain 'help-startusladger.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'help-startusladger'. The core label 'gitbook' covers 7 characters with three vowels and four consonants. Segmentation suggests three words: g, it, book. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://help-startusladger.gitbook.io/us/

Page Load Overview

62.30s
Total Load Time
45
HTTP Requests
4
Domains
152 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:2,661 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning98% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
98%
technology software
83%
government public service
68%
finance banking
57%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.64.147.209UnknownUnknown
3172.64.146.167UnknownUnknown
3104.18.40.68UnknownUnknown
3172.64.147.188UnknownUnknown
3104.18.41.89UnknownUnknown
3104.18.40.47UnknownUnknown
32606:4700:4404::6812:2959UnknownUnknown
32606:4700:4402::ac40:93d1UnknownUnknown
32a06:98c1:3101::ac40:93bcUnknownUnknown
32606:4700:4408::6812:2844UnknownUnknown
4512--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C8D3E81E6101F7096EB3DD14633ABE3A809DD667C779C4ADF24EC9A1178853B1BB3980

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Md3gMEKOvV3xF/MTTcE7cEsN27cROQFxyidqGxTvif1jN:oEYn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135808:hARogAAnAICiWjUUkpZSGg4yNQaggkhCigNogABBAUaFBAKAxACQkwM6hUDbSAMUAZQR872hBgAJwIChXwAwFYRIKAEhpTQM

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:87c7ffefc7e7c3c3
Perceptual Hash:b39b2c3313cccccc
Difference Hash:5d1e265c5c0c1e1e
Wavelet Hash:0483cfc7c7c7c383
Color Hash:#86582d

Other Hashes

Crop Resistant:5d1e265c5c0c1e1e

Scan History

Scan history not available

Unable to load historical scan data