Security Scan Report: rohniehnwalieth.gitbook.io

Submitted: Nov 15, 2025, 9:48:25 AMCompleted: Nov 15, 2025, 9:49:11 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site is a legitimate documentation page with no security concerns.

Safety Factors (3)
Trusted hosting platform (GitBook) with no known malicious activity
Absence of credential or payment collection fields
No external links to suspicious domains
Domain age information unavailable

Details

Page Title

How To Use Ronin Wallet | usasecondary capture

Scan Type

public

Domain Name Analysis

Domain 'rohniehnwalieth.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'rohniehnwalieth'. Count 7 characters in 'gitbook' with three vowels and 4 consonants. Segmentation suggests 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://rohniehnwalieth.gitbook.io/usa/

Page Load Overview

16.43s
Total Load Time
1003 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:150 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
65%
cryptocurrency blockchain
59%
adult content
39%
news media journalism
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.18.40.68UnknownUnknown
3172.64.147.209UnknownUnknown
3172.64.146.167UnknownUnknown
3104.18.40.47UnknownUnknown
3172.64.147.188UnknownUnknown
3104.18.41.89UnknownUnknown
32a06:98c1:310d::ac40:92a7UnknownUnknown
32606:4700:4407::6812:282fUnknownUnknown
32606:4700:4408::6812:2844UnknownUnknown
32606:4700:4404::6812:2959UnknownUnknown
4312--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B8C3D7196110F7059EB2DE54633A7D3E80CED627DB78D4ADF20DDAA6178813F0BE2990

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:i3gGKePvV3xF/MTTcE7cEsN2acROQFZQU/8AGo/u81M:cKCb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127905:EQUQwIQAi2FaxEA6gh4AMGgBEHPIJQmOgg6FI4o0haAgBtQGCDmAAS1gwEQSwAIVqqB5CTTGkyIKCMAYGQShtIgBfAAdGVCw

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:ffc7c3c3ffffffff
Perceptual Hash:b133cececd313066
Difference Hash:410d9f9e00000040
Wavelet Hash:00c3c3c300305010
Color Hash:#d27992

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data