Security Scan Report: www.sarugbymag.co.za

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Submitted: Jun 9, 2026, 10:39:47 AMCompleted: Jun 9, 2026, 10:41:34 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 2 HTTP transactions. The main domain is sarugbymag.co.za and was registered NaN years ago.

Submitted URL: https://www.sarugbymag.co.za/keo-zels-will-bulls-stormers-survive-semis/

The Cisco Umbrella rank of the primary domain is #892,605 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site appears to be a legitimate news article with low risk; no phishing or malware indicators detected.

Risk Factors
Low Cisco Umbrella ranking (892,605) for a site claiming a brand
Presence of multiple advertising domains
Safety Factors
Old, well‑established domain registration
Self‑branding aligns with domain name
No credential or payment collection forms
No malicious JavaScript or IDS alerts
Domain age information unavailable

Details

Page Title

Keo & Zels: Will Bulls, Stormers survive semis?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(50%)

Domain Information

You're looking at domain 'www.sarugbymag.co.za' on the South African country-code top-level domain (.co.za); it also runs on subdomain 'www'. The second-level label 'sarugbymag' is 10 characters long split between three vowels and 7 consonants. Segmentation suggests 4 words: s, a, rugby, mag. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.sarugbymag.co.za/keo-zels-will-bulls-stormers-survive-semis/

Page Load Overview

11.71s
Total Load Time
543
HTTP Requests
45
Domains
7.2 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-US
Text Length:5,296 chars
Detector Agreement:75%

Website Classification

Primary Category

news/blog50% confidence
Type: spa
Method: ml+structural

All Detected Categories

news/blog
50%
corporate
35%
news media journalism
33%
government public service
31%
documentation technical
28%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7423.52.181.124Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
67192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
67104.21.37.180United States
AS13335Cloudflare, Inc.
67188.114.96.3United States
AS13335Cloudflare, Inc.
67142.251.20.156United States
AS15169Google LLC
67142.250.154.95United States
AS15169Google LLC
67104.17.24.14United States
AS13335Cloudflare, Inc.
6718.173.205.120United States
AS16509Amazon.com, Inc.
5438--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B914FAB7E2850C2F612742C46828B609529BF74BE3495CE57DFD13B8A7D4FA7B823508

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wOD75gs+gQr3W2WSQjuXRo+MeRESReZPh9f7E+wtMTvUYj:BzQWu3MeIf7E+CcUYj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:200928:mEBKoHQECq4UYkENLhAUEEQGgAQH1YAugBqHgKZh2ihgANoSCAoUjDmUAaiUOnKwAxAgAgSUQCAihED9DAQcKM6AGlwmKSC4

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:00183c1818181800
Perceptual Hash:8877339c326636d9
Difference Hash:453169213333b39f
Wavelet Hash:013939393939fbc3
Color Hash:#1f9391

Scan History

Scan history not available

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