Security Scan Report: app.playmfl.com

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Submitted: Dec 25, 2025, 7:26:56 PMCompleted: Dec 25, 2025, 7:28:01 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 13 domains to perform 185 HTTP transactions. The main domain is app.playmfl.com and was registered NaN years ago.

Submitted URL: https://app.playmfl.com/

AI Security Verdict

Low Risk

Confidence: 58%

2
Risk Score

Site appears legitimate but shows Discord branding on an unrelated domain; low risk.

Risk Factors
Brand impersonation (Discord) on an unrelated, unranked domain
Safety Factors
Established domain age (>4 years)
No forms collecting passwords or payment information
No malicious Indicators of Compromise found
Domain age information unavailable

Details

Page Title

MFL - Build your Football Legacy

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(36%)

Domain Information

Within the commercial generic top-level domain (.com), 'app.playmfl.com' is registered; it also runs on subdomain 'app'. The second-level label 'playmfl' is 7 characters long split between one vowel and six consonants. Splitting it apart reveals 3 words: play, m, fl. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.playmfl.com/

Page Load Overview

9.92s
Total Load Time
378
HTTP Requests
18
Domains
10.2 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
Text Length:7,534 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning36% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
36%
adult content
36%
forum community discussion
34%
entertainment media
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3057.144.244.128Czech Republic
29104.18.29.104United States
AS13335CLOUDFLARENET
2913.226.247.124United States
29142.250.185.227Germany
293.174.46.38Unknown
2964.31.39.82Frankfurt am Main, Hesse, Germany
AS46475LIMESTONENETWORKS
2976.76.21.93UnknownUnknown
29162.159.152.4United States
AS13335CLOUDFLARENET
29142.250.185.138UnknownUnknown
293.167.227.87UnknownUnknown
37813--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC045BB386691A3AA20B0ECDBC55B70DA79BC12FD662C504F5EC8A5847D7CC4C6D309E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:qjW4WkUU7UUknuIOeF4agVgYwxVQ3Y5sgO:qjW4WkUU7UUkCeScYwxVQ0pO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:174997:iB5iAOKIwQAIfjPhoeKQCkzg5MCIHoQWMoAk4B0AWwMCgAw1S5hASkVSQ6EAEgA8h10sDBKtEgg4wMHEBYMBMnRlAguUITHQ

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:ff7f7f000000001c
Perceptual Hash:98b09867df66c2e2
Difference Hash:79b39c0a8cc88db0
Wavelet Hash:ffffff802020003e
Color Hash:#79c3d2

Scan History

Scan history not available

Unable to load historical scan data