Security Scan Report: rabbyhgwalletg.gitbook.io

Submitted: Nov 18, 2025, 10:21:16 AMCompleted: Nov 18, 2025, 10:22:52 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is rabbyhgwalletg.gitbook.io.

Submitted URL: https://rabbyhgwalletg.gitbook.io/us/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate, showing a suspension notice.

Safety Factors
Hosted on reputable gitbook.io platform
No credential or payment fields present
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'rabbyhgwalletg.gitbook.io' on the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'rabbyhgwalletg'. Its registrable label 'gitbook' stretches across 7 characters containing 3 vowels alongside 4 consonants. Splitting it apart reveals three words: g, it, book. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rabbyhgwalletg.gitbook.io/us/

Page Load Overview

35.47s
Total Load Time
3
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:35 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.64.147.209United States
AS13335CLOUDFLARENET
0104.18.40.47United States
AS13335CLOUDFLARENET
02606:4700:4407::6812:282fUnited States
AS13335CLOUDFLARENET
02606:4700:4402::ac40:93d1United States
AS13335CLOUDFLARENET
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCC012B6D525440E9A712AFCCE8678A45EA4910CC1355E4069E4E5B4A849EA785833D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYgK7bRLLNguFWQnBAh0qa:qzxV/5VHHoB96D3ne1k9YgK71fNDXnBf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:59704d9a425348e82a95a180c947c7a2

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:870f0f0f0f0f0f0f
Difference Hash:c000000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#4086bf

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data