Security Scan Report: followsoccer.com

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Submitted: Jul 2, 2026, 6:30:04 PMCompleted: Jul 2, 2026, 6:31:14 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is followsoccer.com and was registered NaN years ago.

Submitted URL: https://followsoccer.com/player/brais-mendez/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a standard 404 page on a well‑established domain with no malicious activity.

Safety Factors
Self‑branding aligns with domain
Absence of forms or data‑collection fields
No malicious signals from threat intel, YARA, or IDS
Domain age information unavailable

Details

Page Title

Page Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(26%)

Domain Information

The domain name 'followsoccer.com' uses the commercial generic top-level domain (.com). The second-level label 'followsoccer' is 12 characters long containing 4 vowels alongside 8 consonants. Breaking it apart gives 2 words: follow, soccer. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://followsoccer.com/player/brais-mendez/

Page Load Overview

0.72s
Total Load Time
6
HTTP Requests
1
Domains
1 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
Text Length:621 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network26% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
26%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
61--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9C1FD2B74E4041FA271A2887F65373DD9F7A593C2096C3172AC0A4E7FA6F53991311B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ngMNi/bmw6JkLU3RetjujgOCcCu3iF2K2rEAOFs1JL0MxyBCrr/hHK0zgvdlduJx:nSSNmCkuJ1JrRyvRPTL93lHu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6116:A4chkBBEIATmDdgMzKGDAAUiDJCGEQIDAEUoAAhDFeYXAAISBogIuQoIpIkxAKQEUAIIJgAVAQZOAiAVCECCzAKwGZxBAAEK

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:00ffffff000000ff
Perceptual Hash:c3c3cd4c496da663
Difference Hash:d0c888d0d034e440
Wavelet Hash:00ffffff000000ff
Color Hash:#93461f

Scan History

Scan history not available

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