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

Redirected to: https://2022.bojdo.modular-worlds.de/home-107.html

Submitted: Apr 3, 2026, 1:37:33 PMCompleted: Apr 3, 2026, 1:38:49 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is 2022.bojdo.modular-worlds.de.

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

Effective URL: https://2022.bojdo.modular-worlds.de/home-107.htmlRedirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Impersonates Google with a login form on an unknown, unranked domain – high‑risk phishing site.

Risk Factors
Brand impersonation (Google) on an unrelated, unranked domain
Credential harvesting form with password field
Unknown/very new domain age
Unranked domain (not in Cisco Umbrella top 1M)
Critical JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

Home - Demo: Default

Scan Type

public

Language

🇺🇸

English

(48% confidence)

Category

technology software

(48%)

Domain Information

Domain '2022.bojdo.modular-worlds.de' uses the German country-code top-level domain (.de) and includes subdomain '2022.bojdo'. Count 14 characters in 'modular-worlds' with 4 vowels and 9 consonants, along with one hyphen. Breaking it apart gives two words: modular, worlds. The median word length lands at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.89s
Total Load Time
28
HTTP Requests
1
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:48%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:48%
Script Type:Latin
HTML Lang Attribute:de
Text Length:12,694 chars
Detector Agreement:100%
Language mismatch: Declared as de but detected as en

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
2885.13.155.223Germany
AS34788Neue Medien Muennich GmbH
281--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B464F81E83F565391A1B63C7FDDC6324B8B6A439E2C66672E3FF232593C9E207854064

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:cnBTudAsjEgv59AnvSFL4ZCtEe9Lzjss0yf4OKOCKGnjGKvNcv6ap2Jd2CnmThny:MUdFEim

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:328613:MURhMagHgAcjTRFESADJcOnMAQJAuxUPBcWAOGCAswIyKBg0ktCK0I+GEgBHUABAEIAYAzDgDGKAUCJQDwoDRpIQSJgIGuHQ

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:ff18181818100000
Perceptual Hash:88dd31a6f5a3a6a1
Difference Hash:33b3b371b1696971
Wavelet Hash:ff18193d1d353d01
Color Hash:#783a3d

Scan History

Scan history not available

Unable to load historical scan data