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Security Scan Report: en.africatopsports.com

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Submitted: Nov 25, 2025, 12:40:41 PMCompleted: Nov 25, 2025, 12:42:20 PMpubliccompleted
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Summary

This website contacted 233 IPs in 10 countries across 77 domains to perform 224 HTTP transactions. The main domain is en.africatopsports.com and was registered NaN years ago.

Submitted URL: https://en.africatopsports.com/2025/11/23/cafcc-zesco-united-ready-to-take-on-zamalek/

The Cisco Umbrella rank of the primary domain is #872,814 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

4
Risk Score

Site appears legitimate but has a malicious IP indicator and low ranking, warranting caution.

Risk Factors
Presence of a malicious IP indicator associated with the site
Low Cisco Umbrella ranking for a domain that presents itself as a major sports brand
Safety Factors
Domain age is over 13 years (well‑established)
No password or payment collection forms on the page
No noindex meta tags, indicating normal indexing
Domain age information unavailable

Details

Page Title

CAFCC: ZESCO United ready to take on Zamalek - Africa Top Sports

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(46%)

Domain Information

Domain 'en.africatopsports.com' uses the commercial generic top-level domain (.com) and includes subdomain 'en'. Count 15 characters in 'africatopsports' containing five vowels alongside ten consonants. Word splitting yields three words: africa, top, sports. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://en.africatopsports.com/2025/11/23/cafcc-zesco-united-ready-to-take-on-zamalek/

Page Load Overview

1.06s
Total Load Time
224
HTTP Requests
77
Domains
7.4 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:8,541 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network46% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
46%
news/blog
35%
forum
35%
corporate
35%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22452.4.236.60Ashburn, Virginia, United States
AS14618AMAZON-AES
48104.21.70.237United States
AS13335CLOUDFLARENET
17103.231.98.93Japan
AS62713AS-PUBMATIC
12185.64.189.116United Kingdom
AS62713AS-PUBMATIC
1123.35.236.201Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1134.198.24.87Ashburn, Virginia, United States
AS14618AMAZON-AES
1023.218.208.200Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
10104.18.37.127United States
AS13335CLOUDFLARENET
5212.36.83.215Sant Cugat del Vallès, Catalonia, Spain
AS15699Adam EcoTech, S.A
5103.231.98.110Japan
AS62713AS-PUBMATIC
224233--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16204A5F64D9C24BE431EB6D2D818F21CEA93205BCF034E917BBD878CD751E60597A90A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WROqhkef/0AABYTBT/adXHTnzGFvMfjD/0YTBCTI3OdAVJj4HwkbRt3y8F/:SBfcAPT1/axHTzGFv2/DTZZ58F/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:176854:ZCiCh8+MEBEKgqIb0RQrI5ZRBWoJGBxCII1wQxtnkQFHgI0MwCQAAVJCCUAEiAMaCp6C0BOAgMlUBA6NiQOiFAREswI7MkZo

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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