Security Scan Report: www.kofo.mpg.de

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Submitted: Jan 16, 2026, 5:34:16 PMCompleted: Jan 16, 2026, 5:35:31 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is kofo.mpg.de.

Submitted URL: https://www.kofo.mpg.de/

The Cisco Umbrella rank of the primary domain is #57,752 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Max Planck Institute site with no security concerns.

Safety Factors
Official institutional subdomain (kofo.mpg.de)
Educational content about research projects
Low number of forms with no sensitive fields
Top 100k Cisco Umbrella ranking indicating reputable site
Domain age information unavailable

Details

Page Title

Startseite

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain name 'www.kofo.mpg.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www.kofo'. The core label 'mpg' covers 3 characters with 0 vowels and 3 consonants. Breaking it apart gives one word: mpg. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.kofo.mpg.de/

Page Load Overview

2.34s
Total Load Time
34
HTTP Requests
2
Domains
1013 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:6,899 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17134.76.31.209Göttingen, Lower Saxony, Germany
AS207592Gesellschaft fuer wissenschaftliche Datenverarbeitung mbH, Goettingen
17134.76.31.205Göttingen, Lower Saxony, Germany
AS207592Gesellschaft fuer wissenschaftliche Datenverarbeitung mbH, Goettingen
342--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CF3D8628C4D250F552823521BE9EE1F2F05A61A47BBC3C733BCC5E92F46E5BD4068B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:aacuMAesf+bii6RpiB6RViX3z/9rQPYBKO1Vzt/RCxyPMqNmIC88A8PJC:aacuMA7ixB1zUABX8A8Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:170041:0ZQwCAEhQgKEGhRRMIk1AKQYJICMgsAYIAGDBRGSAgouI4AOVVBhYcg2QAQhG4agR4ldFEAYxaqYIQRAwpQFYQ1oIiASSwDI

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:dfc1c18181cfffff
Perceptual Hash:e96392989ce4e639
Difference Hash:341b0f2f3b1f1601
Wavelet Hash:8a81c18181c3ffff
Color Hash:#7d40bf

Scan History

Scan history not available

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