Security Scan Report: uetopie.de

Redirected to: https://uetopie.netlify.app/

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Submitted: Nov 2, 2025, 10:10:24 PMCompleted: Nov 2, 2025, 10:10:49 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 2 domains to perform 29 HTTP transactions. The main domain is uetopie.netlify.app.

Submitted URL: http://uetopie.de/

Effective URL: https://uetopie.netlify.app/Redirected

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Legitimate community site, low risk but new domain

Risk Factors
Newly registered domain with no reputation
External form submission to a third‑party service (formsubmit.co)
Safety Factors
No password or payment fields present
Content appears to be a legitimate community/association site
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Willkommen! - ÜTopie

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain 'uetopie.de' uses the German country-code top-level domain (.de) and has no subdomain. Count 7 characters in 'uetopie' split between five vowels and two consonants. It segments into three words: ue, to, pie. Median word length comes out to two characters. 'to' is most common in Czech usage. It also appears in Slovak and Polish contexts.

Screenshot

Security scan screenshot of http://uetopie.de/

Page Load Overview

7.24s
Total Load Time
29
HTTP Requests
2
Domains
27 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:1,059 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate70% confidence
Type: static
Method: structural

All Detected Categories

corporate
70%
news/blog
60%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
935.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
563.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5178.254.10.134Germany
AS42730EVANZO e-commerce GmbH
52a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
52a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
295--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12B02B4735828B47703839A9FA0B2390CA146842ACA08DE017AAD434F23DEFF5D1665DF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:uTD9jf4u8te7e9NrW9n/Xd49zTSTH524lZORMLuNWV1ToqaapfpweM5W935Or3:uThOK/Xd9vuVWzpw/Wlq3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8961:SDshJGE0JZBouAsSgJlRYkjAiAACEAECVZAeQggNRvBIWUKBNUoKDIkSSYuiKEDFRXNCQAGlkJD2SgzILGAgSXATJYAzAsQA

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:7e7e7efeffffff0f
Perceptual Hash:804000e23fff3ffa
Difference Hash:80c0c00000000071
Wavelet Hash:7e7e007e72727e00
Color Hash:#87c5bb

Other Hashes

Crop Resistant:80c0c00000000071

Scan History

Scan history not available

Unable to load historical scan data