Security Scan Report: www.talkingrugbyunion.co.uk

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Submitted: Sep 24, 2026, 9:17:39 AMCompleted: Sep 24, 2026, 9:18:52 AMpubliccompleted

This website contacted 110 IPs in 7 countries across 98 domains to perform 515 HTTP transactions. The main domain is talkingrugbyunion.co.uk and was registered 18 years ago.

Submitted URL: https://www.talkingrugbyunion.co.uk/south-africa-complete-double-over-australia-with-30-12-win/40534.htm

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate rugby news article on a 15-year-old established domain. No credential/payment forms, no impersonation, no malware signals. Only a generic third-party address reputation tag, which is not content evidence.

Safety Factors
15-year-old established domain
Article/news content with clear attribution and publication date
Site displays its own brand, not another organisation's
No credential, payment, or disguised-password fields
No YARA malware, no known phishing kit, no Safe Browsing or malware IDS alerts
Domain age information unavailable

Details

Page Title

South Africa complete double over Australia with 30-12 win

Scan Type

public

Domain Name Analysis

The domain name 'www.talkingrugbyunion.co.uk' uses the United Kingdom country-code top-level domain (.co.uk) with subdomain 'www'. Its registrable label 'talkingrugbyunion' stretches across 17 characters holding 6 vowels versus eleven consonants. Segmentation suggests three words: talking, rugby, union. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.talkingrugbyunion.co.uk/south-africa-complete-double-over-australia-with-30-12-win/40534.htm

Page Load Overview

6.38s
Total Load Time
13.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Text Length:6,684 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media57% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
57%
education learning
53%
news media journalism
52%
adult content
51%
gambling betting
27%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7946.17.90.35United Kingdom
AS15510Compuweb Communications Services Limited
4104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.14.95Google · CDNUnited States
AS15169Google LLC
4185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
4146.75.122.217Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
418.173.205.127Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
4157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
416.15.229.114Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
4104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
515110--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C241047F0A04981E27B08584ED56B58DC2B79917E754DC14A9C902EF08E4FE28077FA3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:yzc1gFO68joszoBO68DidO653upYOLT6VQP:2FTPTuVT6VQP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2439:AAKAAAAggACgAQAgAACAAgRCAAKBAQAESgEGQIIARAAgkAQAACIEEADACEMCCAAggBCAEAAAAAAAAQAAQAABQAIAIAAAAAQA

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:00003c3c3c3c0000
Perceptual Hash:9ec1610e99b6ce93
Difference Hash:4569696969612d0f
Wavelet Hash:0100bfbdbfbf8301
Color Hash:#1f9370

Scan History

Scan history not available

Unable to load historical scan data