Security Scan Report: www.mfo.de

Submitted: Dec 14, 2025, 2:07:10 PMCompleted: Dec 14, 2025, 2:07:35 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 27 HTTP transactions. The main domain is mfo.de and was registered NaN years ago.

Submitted URL: https://www.mfo.de/

The Cisco Umbrella rank of the primary domain is #812,647 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate research institute site with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Low risk ranking but not impersonating a well‑known brand
Domain age information unavailable

Details

Page Title

MFO — Mathematisches Forschungsinstitut Oberwolfach

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(34%)

Domain Information

Domain 'www.mfo.de' uses the German country-code top-level domain (.de), featuring subdomain 'www'. The registrable portion 'mfo' spans 3 characters containing 1 vowel alongside two consonants. Splitting it apart reveals two words: m, fo. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.mfo.de/

Page Load Overview

2.27s
Total Load Time
27
HTTP Requests
1
Domains
453 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:6,227 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service34% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
34%
adult content
25%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27193.174.3.34Freiberg, Saxony, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
271--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1301384B311E1713B0653DAF4B6F27B59C943D907CA920D49B6EC439C6F94FA2C90B229

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:htf2uavM4RfFbB4isq4UcMAcguzpS78/6b9RjIb4I:DnavM4RfFbB4isq4UcMAcgute8/65Rjc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42286:SMARIFQBHlMTKDlAhWToREYVGqKMoMjQLEUIEokcRoAdlCJUShtgDB5JQEQmCkRRgyIP2sQIAJGoIQCqQjiuBlgywArJ0AsM

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:00bf870387ffffbf
Perceptual Hash:bf36c0c037369b98
Difference Hash:d1712e4e377b6b6f
Wavelet Hash:0000870383ffffbf
Color Hash:#53ac72

Scan History

Scan history not available

Unable to load historical scan data