Security Scan Report: 2022.bojdo.modular-worlds.de

Submitted: Apr 5, 2026, 2:18:21 AMCompleted: Apr 5, 2026, 2:19:36 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is 2022.bojdo.modular-worlds.de.

Submitted URL: https://2022.bojdo.modular-worlds.de/datenschutz.html

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High risk – password form on an unranked, unknown‑age domain likely used for credential phishing.

Risk Factors
Credential form on a low‑reputation, unranked domain
Unknown domain age (cannot verify establishment)
Presence of a password field on a privacy‑policy page
Domain age information unavailable

Details

Page Title

Datenschutz - Demo: Default

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(48%)

Domain Information

Within the German country-code top-level domain (.de), '2022.bojdo.modular-worlds.de' is registered with subdomain '2022.bojdo'. Its registrable label 'modular-worlds' stretches across 14 characters containing 4 vowels alongside 9 consonants, plus one hyphen. Splitting it apart reveals 2 words: modular, worlds. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://2022.bojdo.modular-worlds.de/datenschutz.html

Page Load Overview

2.45s
Total Load Time
22
HTTP Requests
1
Domains
438 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:11,348 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software48% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
48%
news media journalism
26%

Detected Features

Login Form
Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2285.13.155.223Germany
AS34788Neue Medien Muennich GmbH
221--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19464E81E83F565391A1B63C7FDDC6324B8B6A439E1C66672E3FF232592C9E207858074

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:FnBIudAsjEgv59AnvSFL4ZCtEe9Lzjss0yf4OKOCKGnjGKvNcv6ap2Jd2CnmThno:DVdBEim

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:319233:gnMxSAiGUQSikBIwApaBE0KbZFqiggJAF6hU6JIYBY0BDMtRRhQAArNAiNgxA0SnyCIpAkYTwAzja5QACCEERQEkcBQkAiWE

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:970000ffffff00ff
Perceptual Hash:9c2a45aa9caad5ba
Difference Hash:2c6143342048d500
Wavelet Hash:000000ffffff00ff
Color Hash:#3a784c

Scan History

Scan history not available

Unable to load historical scan data