Security Scan Report: scuel.me

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Submitted: Feb 15, 2026, 6:22:57 PMCompleted: Feb 15, 2026, 6:24:54 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is scuel.me and was registered NaN years ago.

Submitted URL: https://scuel.me

The Cisco Umbrella rank of the primary domain is #579,309 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate medical information portal with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection forms
No redirects or URL manipulation
No detected malware
Domain age information unavailable

Details

Page Title

scuel.me

Scan Type

public

Language

🇯🇵

Japanese

(80% confidence)

Category

healthcare medical

(97%)

Domain Information

Domain 'scuel.me' uses the Montenegrin country-code top-level domain (.me) with no subdomain. The registrable portion 'scuel' spans 5 characters holding two vowels versus 3 consonants. Word splitting yields 2 words: sc, uel. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scuel.me

Page Load Overview

14.93s
Total Load Time
97
HTTP Requests
12
Domains
647 KB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:80%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:80%
Script Type:Mixed
HTML Lang Attribute:ja
Text Length:5,552 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
97%
adult content
73%
government public service
50%
corporate
35%
technology software
26%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
973.174.46.8United States
971--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Oldi:yhoC9JSqzzbs6o3Sj3gcrsA2eAY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184431:QyQDD7AAgKy6aAgsJX2IIwyhEAAAEAQxIAQKhBGMkEUA0IhwgOKBJK5bQQAAiAuinPAmZVWgKLdIBh7gARBZcZEQGALuEE5Q

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:ffcfc7cfffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00181c1800000000
Wavelet Hash:3f1f030f00000000
Color Hash:#bec587

Other Hashes

Crop Resistant:00181c1800000000

Scan History

Scan history not available

Unable to load historical scan data