Security Scan Report: t.co

Redirected to: https://www.walesminimasters.co.uk/calendarq/RR/s-bank/ragkki/auth-login/

Submitted: Nov 27, 2025, 10:33:15 PMCompleted: Nov 27, 2025, 10:38:20 PMpubliccompleted
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Summary

This website contacted 2 IPs in 0 countries across 3 domains to perform 13 HTTP transactions. The main domain is walesminimasters.co.uk.

Submitted URL: https://t.co/n2idFonYd5

Effective URL: https://www.walesminimasters.co.uk/calendarq/RR/s-bank/ragkki/auth-login/Redirected

The Cisco Umbrella rank of the primary domain is #1,176 of the top 1 million websitesTop 10K Site

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Wales Mini Masters 2026 - Coming Soon

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(71%)

Domain Information

The domain name 't.co' uses the Colombian country-code top-level domain (.co) while skipping any subdomain. Its registrable label 't' stretches across 1 characters containing 0 vowels alongside one consonant. Splitting it apart reveals 1 word: t. Median word length is 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://t.co/n2idFonYd5

Page Load Overview

1.05s
Total Load Time
13
HTTP Requests
3
Domains
112 KB
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:80 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning71% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
71%
government public service
50%
documentation technical
48%
healthcare medical
43%
real estate property
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1291.204.209.15UnknownUnknown
1162.159.140.229UnknownUnknown
132--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143511431C5FE05072382E1D89865A729AE9DA107D6860B4B7BFC07ADEFC2D5D882761C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TmVrKTWiTiSi4dipiePgqdRo8tp7OiivAz2K:TTruH4UQeIqdRo8vivAzV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3058:oAUiABpgAAAYAAFAAACAALCBQGCAEAFhGAQAEAAAAAAIAAAAAAAAAABAAJAACRQAQIAACCGQTEADBCA0wCBEMAgBgAAAAAFo

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:00c0e0e0e0e0c000
Perceptual Hash:e10f1ef0873c1cc7
Difference Hash:3080c888c8909060
Wavelet Hash:f0d0f0f0e0f0f0f0
Color Hash:#2d8633

Scan History

Scan history not available

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