Security Scan Report: www.dagstuhl.de

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Submitted: Jan 6, 2026, 6:29:19 AMCompleted: Jan 6, 2026, 6:30:38 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 30 HTTP transactions. The main domain is dagstuhl.de and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #395,461 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate institute site with no security concerns.

Safety Factors
Well‑established domain
Official institute (Schloss Dagstuhl) website
Low‑risk Cisco Umbrella ranking but no suspicious activity
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Language

🇩🇪

German

(31% confidence)

Category

forum community discussion

(80%)

Domain Information

The domain name 'www.dagstuhl.de' uses the German country-code top-level domain (.de), featuring subdomain 'www'. The core label 'dagstuhl' covers 8 characters split between 2 vowels and 6 consonants. Tokenizing the label suggests 3 words: dag, stu, hl. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.51s
Total Load Time
30
HTTP Requests
1
Domains
1.1 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:31%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:31%
Script Type:Latin
HTML Lang Attribute:en
Text Length:10,611 chars
Detector Agreement:75%
Language mismatch: Declared as en but detected as de

Website Classification

Primary Category

forum community discussion80% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

forum community discussion
80%
government public service
34%
corporate
25%
forum
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30192.76.146.114Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
301--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11053B326E9C4053B827302CA6562BF69A9D310ABCB2E8C1473FD47596FCED919C025DF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:V3rTmq1VuHd3DDUvDRbyuJN+ztVBkgcH25/wUPZLHfDtVDmEeHmVL/2fupO:tfmq1VSdzDUrCsa4cL/2fupO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65237:QYEBABIowQQD2RIgETJGTggCZWAM0DTaCnDZphAVAzAKKiPApeRapgALoAg9gAAMgDEALwy5jKJCA4AkcIYkgrIkQKM2hZyQ

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:ff000c0c0000ffff
Perceptual Hash:9a00e54dfcb1b1d3
Difference Hash:b2e1d9bd3133c926
Wavelet Hash:ff00040400dbffff
Color Hash:#93881f

Scan History

Scan history not available

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