Security Scan Report: metamaskiologiwe.gitbook.io

Submitted: Nov 15, 2025, 5:58:13 AMCompleted: Nov 15, 2025, 5:59:06 AMpubliccompleted

Summary

This website contacted 12 IPs in 0 countries across 5 domains to perform 42 HTTP transactions. The main domain is metamaskiologiwe.gitbook.io.

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

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Site impersonates MetaMask on an unranked domain – high‑risk phishing.

Risk Factors
Brand impersonation on an unranked, likely newly registered domain
Unranked domain suggests low reputation for a well‑known brand
Domain age information unavailable

Details

Page Title

π— π—²π˜Γ₯𝗺Γ₯π˜€π—Έ π—Ÿπ—Όπ—΄π—Άπ—» - us

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

cryptocurrency blockchain

(87%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'metamaskiologiwe.gitbook.io' is registered; it also runs on subdomain 'metamaskiologiwe'. The registrable portion 'gitbook' spans 7 characters split between 3 vowels and 4 consonants. It segments into 3 words: g, it, book. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

22.08s
Total Load Time
42
HTTP Requests
5
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:293 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain87% confidence
Type: spa
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
87%
technology software
74%
finance banking
31%
cryptocurrency
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.64.147.188UnknownUnknown
3172.64.147.209UnknownUnknown
3104.18.40.47UnknownUnknown
3172.64.146.167UnknownUnknown
3104.18.41.89UnknownUnknown
32606:4700:4404::6812:2959UnknownUnknown
32606:4700:4407::6812:282fUnknownUnknown
32a06:98c1:3101::ac40:93bcUnknownUnknown
32606:4700:4402::ac40:93d1UnknownUnknown
32606:4700:4408::6812:2844UnknownUnknown
4212--

Page Statistics

42
Requests
7
Unique Domains
1.7 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135C3F91A2100F7056D72DE65633ABE3E40CED61797A8C8ADF20ED9951B4813F1BF2E64

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:th3gurNcvV3xF/MTTcE7cEsN2mcROQFgrVSEkTu2D:Hr+6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127415:KCxMlUQhCjhIAGJwwY5ClRVQCCsgQvCkDSAgAAKyiAWoYghUwMBULaIgIhEDEZ4AKCBgAwX3pcAAqCKBChRgEADE4FINASoy

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:8fc7d3c3cfffc3f7
Perceptual Hash:b419869b1927cf8e
Difference Hash:591e069696161644
Wavelet Hash:0cc2c3c3c3f3c2b7
Color Hash:#8ebf40

Other Hashes

Crop Resistant:591e069696161644

Scan History

Scan history not available

Unable to load historical scan data