Security Scan Report: rabbyrjwallet.gitbook.io

Submitted: Nov 18, 2025, 8:24:19 AMCompleted: Nov 18, 2025, 8:27:33 AMpubliccompleted
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Summary

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

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Hosted on reputable platform (gitbook.io)
No credential or payment collection fields
Domain is a subdomain of a well‑known documentation service
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'rabbyrjwallet.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'rabbyrjwallet'. Count 7 characters in 'gitbook' with 3 vowels and 4 consonants. Tokenizing the label suggests three words: g, it, book. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

30.12s
Total Load Time
4
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
1172.64.147.209United States
AS13335CLOUDFLARENET
1104.18.40.47United States
AS13335CLOUDFLARENET
12606:4700:4402::ac40:93d1United States
AS13335CLOUDFLARENET
12606:4700:4407::6812:282fUnited States
AS13335CLOUDFLARENET
44--

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:#b487c5

Other Hashes

Crop Resistant:c000000000000000

Scan History

Scan history not available

Unable to load historical scan data