Security Scan Report: myfitapp.de

Submitted: Jun 23, 2026, 7:59:12 AMCompleted: Jun 23, 2026, 8:01:09 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is myfitapp.de.

Submitted URL: https://myfitapp.de

The Cisco Umbrella rank of the primary domain is #173,433 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

myfitapp.de

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

phishing scam

(38%)

Domain Information

The domain 'myfitapp.de' uses the German country-code top-level domain (.de) and has no subdomain. Its registrable label 'myfitapp' stretches across 8 characters split between two vowels and six consonants. Splitting it apart reveals three words: my, fit, app. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://myfitapp.de

Page Load Overview

0.11s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:69 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam38% confidence
Type: static
Method: ml+structural

All Detected Categories

phishing scam
38%
cryptocurrency blockchain
33%
technology software
31%
adult content
31%
documentation technical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
218.196.62.24Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:A/Qho9PKBb9Js3q9Jzbs6tlg1ySBKw4Q9gcoIsPG2bMy8Old0:hhoC9JSqzzbs6okSCggcpsO2eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185198:ogkAhNhAEDFslUAALKgIcgKoECiV0GFwjAkCGhxQU4hQEnQRBSYlIESBQlEGxcSAsYCCFhQUhYEdAAWxpYDhWOsBAEjQFfAI

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:ffc7c7c3f3ffffff
Perceptual Hash:b1319acecc653333
Difference Hash:001c181606000000
Wavelet Hash:fcdcc4c0f0f0f0f0
Color Hash:#81ac53

Other Hashes

Crop Resistant:001c181606000000

Scan History

Scan history not available

Unable to load historical scan data