Security Scan Report: www.africasport.net

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Submitted: Oct 1, 2026, 1:06:48 PMCompleted: Oct 1, 2026, 1:08:00 PMpubliccompleted

This website contacted 39 IPs in 3 countries across 19 domains to perform 100 HTTP transactions. The main domain is africasport.net and was registered 18 years ago.

Submitted URL: https://www.africasport.net/article/tennis/rafael-jodar-on-the-brink-of-rewriting-atp-history

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate established sports news site (africasport.net) publishing a tennis article. No forms, no impersonation, no malware or threat-intel hits; only routine ad/analytics scripts and a consent banner.

Safety Factors (5)
11-year-old well-established domain
Business legitimacy indicators present (physical address, business entity mentioned)
Article content with normal editorial structure and OpenAI-style byline context (og:type not set but page is clearly news/blog)
No credential, login, or payment forms on the page
Third-party scripts come from well-ranked, mainstream ad/analytics hosts
Domain age information unavailable

Details

Page Title

Rafael Jodar Eyes ATP Top-10 Record After Canadian Open Run | Africa Sport Network

Scan Type

public

Domain Name Analysis

The domain 'www.africasport.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. The core label 'africasport' covers 11 characters with four vowels and seven consonants. Breaking it apart gives 2 words: africa, sport. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.africasport.net/article/tennis/rafael-jodar-on-the-brink-of-rewriting-atp-history

Page Load Overview

5.21s
Total Load Time
4.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:64,693 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media55% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
55%
documentation technical
52%
gambling betting
48%
technology software
42%
government public service
40%

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2452.215.81.84Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2142.251.127.97Google · CDNUnited States
AS15169Google LLC
2142.251.14.156Google · CDNUnited States
AS15169Google LLC
2142.251.156.119Google · CDNUnited States
AS15169Google LLC
23.160.150.115Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
2142.251.127.155Google · CDNUnited States
AS15169Google LLC
2142.251.110.148Google · CDNUnited States
AS15169Google LLC
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
10039--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D05D931F980093FDB7745D4B669D70A72C6A20BE4D54410F1ED07688BE5EB8B82F2A7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RsJ+Jouzhnubz41l498SDn5KOYTNqShERlgHNlA/yCqfB2AqBee+kWFsKY4N3zQa:Uc6G2nvYTokE4H0/IkzuLOThdsFBiazF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:819060:QEpVHXwJpACJxIACCEHhBNLagSfhASsAAwQQRAQIAAjlXMqIoAgAmcEeQMAFIgXQCoFIGMoIAUpULrnokmgBEqkFUYCC4gOl

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:000018183c381000
Perceptual Hash:c9386767184dcd96
Difference Hash:161eb2b2b2b2f2d0
Wavelet Hash:00809cbc3f797a7a
Color Hash:#71bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data