Security Scan Report: cupofnations2025.com

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Submitted: Jan 4, 2026, 5:13:55 PMCompleted: Jan 4, 2026, 5:16:39 PMpubliccompleted
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Summary

This website contacted 7 IPs in 3 countries across 7 domains to perform 57 HTTP transactions. The main domain is cupofnations2025.com and was registered NaN years ago.

Submitted URL: https://cupofnations2025.com/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site shows no security concerns; it appears to be a legitimate informational page.

Safety Factors
Informational website about a public sporting event
No collection of sensitive data
Domain age information unavailable

Details

Page Title

Africa Cup of Nations – AFCON 2025 Schedule, Teams, Live Streaming, and Venues

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(32%)

Domain Information

Within the commercial generic top-level domain (.com), 'cupofnations2025.com' is registered and has no subdomain. The core label 'cupofnations2025' covers 16 characters split between five vowels and seven consonants, notching four digits. Segmentation suggests four words: cup, of, nations, 2025. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cupofnations2025.com/

Page Load Overview

75.26s
Total Load Time
57
HTTP Requests
7
Domains
660 KB
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:11,328 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media32% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
32%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.239.34.36Germany
8216.239.32.36United States
AS15169GOOGLE
8142.250.185.168Sweden
892.113.16.152Unknown
8192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
8146.75.122.208UnknownUnknown
8192.0.77.48San Francisco, California, United States
AS2635AUTOMATTIC
577--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5F3C561729C80A57E5B435B618F3B0CA074B109DA3059D9FCAE91C49EC4CF779B3B2A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UKr3PwldxzISiFwFZouYemlUYugaLQyhzCpov1fZouNemlUYugaLSDKKneZgWPs/:nr0dRDFZouYemlUYugaLzVCpov1fZouh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:158676:oUAAIDAgChN4E6QGQEiABM5UqRAh2ASBEkOT8xBAISwAIgICAEMwAAIjAUY4FuFBBLh0xyKTIkrBIEBgAEkm1kRAJYCgAgkE

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:f30000ffffe7ffcf
Perceptual Hash:e06028c79d9fb69c
Difference Hash:838787349e0d0e9a
Wavelet Hash:410000d7e7e7cfcf
Color Hash:#86332d

Scan History

Scan history not available

Unable to load historical scan data