Security Scan Report: muse.io

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Submitted: Dec 4, 2025, 2:45:15 PMCompleted: Dec 4, 2025, 2:47:01 PMpubliccompleted
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Summary

This website contacted 53 IPs in 3 countries across 12 domains to perform 101 HTTP transactions. The main domain is muse.io and was registered NaN years ago.

Submitted URL: https://muse.io/updatebtinternet-webmail-53ac04

AI Security Verdict

Low Risk

Confidence: 92%

3
Risk Score

Site mimics BT internet webmail but lacks credential collection; low risk overall.

Risk Factors
Brand impersonation / typosquatting (BT branding on unrelated domain)
Unranked domain presenting a well‑known brand
Safety Factors
Domain age 1993 days (well‑established)
No credential or payment forms present
No redirects or external malicious links
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Btinternet Webmail | Muse

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'muse.io' uses the British Indian Ocean Territory country-code top-level domain (.io). Count 4 characters in 'muse' split between two vowels and two consonants. It segments into 1 word: muse. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://muse.io/updatebtinternet-webmail-53ac04

Page Load Overview

1.15s
Total Load Time
101
HTTP Requests
12
Domains
2.0 MB
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:111 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6576.76.21.21Walnut, California, United States
AS16509AMAZON-02
4913.33.50.70New York, New York, United States
AS16509AMAZON-02
5146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113FASTLY
43.233.158.30Ashburn, Virginia, United States
AS14618AMAZON-AES
3142.250.184.227United States
AS15169GOOGLE
3192.178.170.95United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
213.33.50.149New York, New York, United States
AS16509AMAZON-02
223.20.45.252Ashburn, Virginia, United States
AS14618AMAZON-AES
113.33.50.214New York, New York, United States
AS16509AMAZON-02
10153--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A883091FB404EA11BCA7DD4B083B2F6BC09ECC77827DD57C965EDE6A019283A0768E51

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:EXKCK8KRLeQjnwTDs9+8O2aT1MnEtdpFrMWWW2Us1zfzozVzYzMzBu4zcz6I4fGF:Ea350/s9+8paT1oEtdpFrMWWWXs1bM52

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86272:JZISGRaDUVAAPNKoAIjCjCgOgiMxjHB0mIEQAIECmBijUCRSBwBCAKiharJmFaKgA8tpY0QgMAshICKsBiqCAFikVAkAhQFR

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:818183ffffffffff
Perceptual Hash:ac2c6c6fc3c39398
Difference Hash:27271fd826000012
Wavelet Hash:8181007cc3ffefc2
Color Hash:#2d5b86

Scan History

Scan history not available

Unable to load historical scan data