Security Scan Report: www.sowetan.co.za

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 170 domains to perform 666 HTTP transactions. The main domain is sowetan.co.za and was registered 29 years ago.

Submitted URL: https://www.sowetan.co.za/sport/fifa-world-cup-2026/2026-06-23-neymar-edges-toward-brazil-return-as-scotland-showdown-looms/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate news article with no phishing, malware, or scam indicators.

Safety Factors (4)
Established domain age (~29 years)
Self‑branding, not impersonating another brand
No malicious network or IDS alerts
No external form submissions or credential exfiltration
Domain age information unavailable

Details

Page Title

Neymar edges toward Brazil return as Scotland showdown looms

Scan Type

public

Domain Name Analysis

The domain 'www.sowetan.co.za' uses the South African country-code top-level domain (.co.za) and includes subdomain 'www'. The core label 'sowetan' covers 7 characters with 3 vowels and four consonants. Breaking it apart gives 3 words: so, wet, an. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.sowetan.co.za/sport/fifa-world-cup-2026/2026-06-23-neymar-edges-toward-brazil-return-as-scotland-showdown-looms/

Page Load Overview

21.24s
Total Load Time
16.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:17,688 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism52% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
52%
social media network
50%
entertainment media
46%
finance banking
40%
adult content
36%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6662.16.10.155Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6661--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A0E0CADFD08711094E05594E5C73760DFD173A35F65B1DD417C5F189D104DE8DC46465

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwyEr6VPWxxdGztAc4+yKqsmSN1xYHWgNZLxeMM4a4d7ZLxoKxvOKqz:kxVRpedgS1s3xYFNZLxe5Z4d7ZLxhGj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a7381f690c9102a0a11875fe6dec19cd

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:073fffffffffffff
Perceptual Hash:830303030337ffff
Difference Hash:ccc8000000000000
Wavelet Hash:033fffff00000000
Color Hash:#c579d2

Other Hashes

Crop Resistant:ccc8000000000000

Scan History

Scan history not available

Unable to load historical scan data