Security Scan Report: www.hellofootballers.com

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Submitted: Jun 13, 2026, 12:31:10 AMCompleted: Jun 13, 2026, 12:32:37 AMpubliccompleted
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Summary

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

Submitted URL: https://www.hellofootballers.com/folarin-balogun-profile/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site is a newly created article page with no malicious activity, but its brand‑new, unranked domain warrants moderate caution.

Risk Factors
Newly registered domain (<7 days)
Unranked domain reputation
Safety Factors
Self‑branding matches domain
No credential or payment collection
No malicious JavaScript or external IoC links
Page type is an article (og:type=article)
Domain age information unavailable

Details

Page Title

Folarin Balogun Profile: Age, Family, Career, Stats, Net Worth, FIFA World Cup 2026 and USMNT Striker - Hello Footballers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(88%)

Domain Information

The domain name 'www.hellofootballers.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'hellofootballers' spans 16 characters holding 6 vowels versus 10 consonants. Splitting it apart reveals 2 words: hello, footballers. The median word length lands at eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.hellofootballers.com/folarin-balogun-profile/

Page Load Overview

1.09s
Total Load Time
20
HTTP Requests
3
Domains
2.7 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:13,041 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning88% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
88%
news/blog
35%
corporate
35%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10142.251.127.97United States
AS15169Google LLC
10195.3.221.106Poland
AS201814MEVSPACE sp. z o.o.
202--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEA30A32D2E5157B363B83ADED907354B0A69409CB0227E8F5F9C1942789DB23CDB74A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:azxvspPyypqwArBjemaydbezzKRrNZeei186veVGLQTOBgfI:azxvspPrwwArBj9i186veVqQTOBgfI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106412:lXAsRYUCoYwmNMQAwABT+BEGABrDAHgSQilBKBQEJ5DQRABQJAp5ODoqCDwaBAEMOCggwBZICSvJAMoKJUEZdGioKIhBpPAB

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:ff87878787cfffff
Perceptual Hash:ba32c9c3cecc9931
Difference Hash:220f3d2f2f1e3a32
Wavelet Hash:ff818783838383db
Color Hash:#ae2dd2

Scan History

Scan history not available

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