Security Scan Report: dagstuhl.de

Redirected to: https://www.dagstuhl.de/

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Submitted: Jan 7, 2026, 9:13:45 AMCompleted: Jan 7, 2026, 9:15:05 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 30 HTTP transactions. The main domain is dagstuhl.de and was registered NaN years ago.

Submitted URL: https://dagstuhl.de

Effective URL: https://www.dagstuhl.de/Redirected

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate research institute site with no security concerns.

Safety Factors
Established domain with minimal risk category
Standard hosting without suspicious redirects
Clear institutional information and contact details
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(34%)

Domain Information

You're looking at domain 'dagstuhl.de' on the German country-code top-level domain (.de) and has no subdomain. Count 8 characters in 'dagstuhl' split between 2 vowels and 6 consonants. Segmentation suggests 3 words: dag, stu, hl. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dagstuhl.de

Page Load Overview

3.94s
Total Load Time
31
HTTP Requests
2
Domains
1.1 MB
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:10,821 chars
Detector Agreement:50%

Website Classification

Primary Category

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

All Detected Categories

government public service
34%
corporate
25%
forum
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31192.76.146.114Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
311--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E53B226E9C4053B827302CA6562BF69A9D310ABCB2E8C1473FD47596FCED919C025DF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:V3rTmq1VuHd3DDUvDRbgyuJN+BBA1jY53Sf5YYdD71iipV4VL/2fupO:tfmq1VSdzDUrXL/2fupO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:65451:cEK0ABpAgBAShEBRRgAIctaSScBEaIMxptioNLEEEkyOESOKi+QgONIaTbAAKCARyFkiRxTkImgEaAE0AAgxMAoA4wxAEuCs

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:9a02e54ddcb1b1d3
Difference Hash:b2e1d9bd3131cd2e
Wavelet Hash:ff00040400dbffff
Color Hash:#2d6a86

Scan History

Scan history not available

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