Security Scan Report: es.intermiamicf.com

Redirected to: https://es.intermiamicf.com/calendario/partidos#competition=all&date=2025-11-25

Submitted: Nov 25, 2025, 12:45:04 PMCompleted: Nov 25, 2025, 12:47:37 PMpubliccompleted
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Summary

This website contacted 52 IPs in 4 countries across 18 domains to perform 1073 HTTP transactions. The main domain is es.intermiamicf.com and was registered NaN years ago.

Submitted URL: https://es.intermiamicf.com/calendario/partidos

Effective URL: https://es.intermiamicf.com/calendario/partidos#competition=all&date=2025-11-25Redirected

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Low risk site with a flagged external script but otherwise legitimate.

Risk Factors
External malicious script (static.srcspot.com) flagged as bad script
Safety Factors
Official Inter Miami CF subdomain (es.intermiamicf.com)
Long domain age indicating an established site
No login, password, or payment fields
Domain age information unavailable

Details

Page Title

Schedule | Inter Miami CF

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

entertainment media

(48%)

Domain Information

Within the commercial generic top-level domain (.com), 'es.intermiamicf.com' is registered, featuring subdomain 'es'. Its registrable label 'intermiamicf' stretches across 12 characters containing five vowels alongside 7 consonants. Word splitting yields three words: inter, miami, cf. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://es.intermiamicf.com/calendario/partidos

Page Load Overview

1.22s
Total Load Time
1073
HTTP Requests
18
Domains
6.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
HTML Lang Attribute:es
Text Length:24,690 chars
Detector Agreement:100%
Language mismatch: Declared as es but detected as en

Website Classification

Primary Category

entertainment media48% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
48%
adult content
45%
gambling betting
31%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34492.122.215.33Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22323.50.131.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11623.50.131.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6723.36.162.206Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2023.50.131.142Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2023.50.131.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
20172.64.155.119United States
AS13335CLOUDFLARENET
20104.16.79.6United States
AS13335CLOUDFLARENET
20172.64.151.166United States
AS13335CLOUDFLARENET
20142.250.186.98United States
AS15169GOOGLE
107352--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T170F35EB1A0F34936123F71E3A39B6315A5B7C34BCA8977E171CD07981FAAD046E47A48

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:PoO1SAeLMBAp0qZmKaD3ktvqr1vqrMvqrm540IoJoqb4i:P6knD3kgzoqUi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:160255:hPBEBETQzPYQ8VEIII0ewxCBQIbUgAJaAgwFQdbgMgJICFZLA1RSATEAB0BQACBUGUdRAkBBYQjRqQpY5KltJSKDgEIfNMYg

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:0000ffffffffffff
Perceptual Hash:ca2f286868d89dcf
Difference Hash:9345408141010101
Wavelet Hash:000000fcfcfdfcfd
Color Hash:#7dac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data