Security Scan Report: www.s4c.cymru

Redirected to: https://www.s4c.cymru/cy/

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Submitted: Oct 10, 2025, 2:06:36 PMCompleted: Oct 10, 2025, 2:09:42 PMpubliccompleted
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Summary

This website contacted 51 IPs in 3 countries across 13 domains to perform 107 HTTP transactions. The main domain is s4c.cymru and was registered NaN years ago.

Submitted URL: http://www.s4c.cymru/cy/

Effective URL: https://www.s4c.cymru/cy/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established domain age
Official brand domain matches content
No malicious Indicators of Compromise
No credential or payment collection forms
Standard informational website
Domain age information unavailable

Details

Page Title

Hafan | S4C

Scan Type

public

Language

🇼🇦

CY

(100% confidence)

Category

e-commerce shopping

(39%)

Domain Information

Domain 'www.s4c.cymru' uses the .cymru top-level domain with subdomain 'www'. The second-level label 's4c' is 3 characters long holding zero vowels versus two consonants, along with 1 digit. Tokenizing the label suggests 3 words: s, 4, c. Average segment length settles at one character. 's' most strongly signals Breton. Secondary signals appear in Czech and Chinese (Zhuyin).

Screenshot

Security scan screenshot of http://www.s4c.cymru/cy/

Page Load Overview

1.08s
Total Load Time
107
HTTP Requests
13
Domains
3.5 MB
Total Size

Language Analysis

Primary Language

🇼🇦CY
Code: cy
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:cy
Detection Confidence:100%
Script Type:Unknown
HTML Lang Attribute:cy
Text Length:34,663 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

e-commerce shopping
39%
technology software
36%
documentation technical
36%
corporate business
32%
government public service
31%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.167.227.61United States
AS16509AMAZON-02
143.167.227.115United States
AS16509AMAZON-02
9104.18.18.62United States
AS13335CLOUDFLARENET
73.171.214.42United States
AS16509AMAZON-02
513.32.121.22New York, New York, United States
AS16509AMAZON-02
3216.239.34.36United States
AS15169GOOGLE
3216.58.206.40United States
AS15169GOOGLE
2142.251.168.156United States
AS15169GOOGLE
223.45.108.190Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2216.239.32.36United States
AS15169GOOGLE
10751--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19024E932510DB92F5117E5C9AD76CF0F6096CA66DA53A407B9FF836C8BD9C80AC4A30D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qwO2yNBXLbqaQBIbqI8uaFiWt0om+IU2FYRU+Fl9o3e02S0DNe0qX0BQ0bD06de9:qHNB6riWtvgC0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224272:kRYqABAxWAgQQtEBCAJsxONWhY2ilAVwBsASFwIBeUBAAQgkDo5RAgUAJjcYGtKNCTRpgU4BngINWAggYoUQA7AiAwSM0sjP

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:00071f5f0b007c7c
Perceptual Hash:982e536368db6c93
Difference Hash:4174b6b39b95f8b8
Wavelet Hash:001f1f5f4b413e7c
Color Hash:#78663a

Scan History

Scan history not available

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