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

Submitted: Apr 2, 2026, 8:54:26 PMCompleted: Apr 2, 2026, 8:55:38 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is 2022.bojdo.modular-worlds.de.

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

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Site hosts a password form on an unknown‑age, unranked domain; treat as high‑risk credential phishing.

Risk Factors
Credential form (password field) on a domain with unknown age
Domain unranked in Cisco Umbrella
Critical JavaScript obfuscation score
Domain age information unavailable

Details

Page Title

Fancylinks - Demo: Default

Scan Type

public

Language

🇺🇸

English

(46% confidence)

Category

technology software

(56%)

Domain Information

The domain name '2022.bojdo.modular-worlds.de' uses the German country-code top-level domain (.de) with subdomain '2022.bojdo'. The registrable portion 'modular-worlds' spans 14 characters split between four vowels and 9 consonants, plus 1 hyphen. Segmentation suggests two words: modular, worlds. Median word length comes out to 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.16s
Total Load Time
22
HTTP Requests
1
Domains
438 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:46%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:46%
Script Type:Latin
HTML Lang Attribute:de
Text Length:12,014 chars
Detector Agreement:100%
Language mismatch: Declared as de but detected as en

Website Classification

Primary Category

technology software56% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
56%
news media journalism
28%

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

T1EF64F91E83F565391A1B63C7FDCC6724B8B6A439E1C66672E3FF232692C9E207854074

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:jnBQKdAsjEgv59AnvSFfPrgtEe9Lzjss0yf4OKOCKGnjGKvNcv6ap2Jd2CnmThnC:HXdQEim

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:323259:DDPAWIpChjKASEJCMEgk+IXKQFABQAUYVAcARXASsFsJIjAiHORA7hIkAAyAw4AVdJODLsINEVBkwLEcjxQrsKDEgmCSSHAL

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:1818383c39010100
Perceptual Hash:884c5c32e7b6b3a3
Difference Hash:33b3b333b31f3381
Wavelet Hash:181839393b8393ff
Color Hash:#2dd296

Scan History

Scan history not available

Unable to load historical scan data