Security Scan Report: www.dainst.org

Redirected to:
https://www.dainst.org/
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Submitted: Jun 3, 2026, 11:41:32 AMCompleted: Jun 3, 2026, 11:42:46 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is dainst.org and was registered NaN years ago.

Submitted URL: http://www.dainst.org

Effective URL: https://www.dainst.org/Redirected

The Cisco Umbrella rank of the primary domain is #189,409 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no malicious indicators.

Safety Factors
Established, long‑registered domain
Brand self‑identification matches domain
Absence of forms or credential harvesting
No malicious code or network alerts
Domain age information unavailable

Details

Page Title

DAI - DAI Portal

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(36%)

Domain Information

The domain name 'www.dainst.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The registrable portion 'dainst' spans 6 characters containing 2 vowels alongside four consonants. It segments into 3 words: da, in, st. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.dainst.org

Page Load Overview

4.53s
Total Load Time
84
HTTP Requests
1
Domains
5.2 MB
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-de
Text Length:15,943 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
84195.37.32.51Uttewalde, Saxony, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
841--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T109648612A8F9213B11D391F63AB41B19BEC56117E2662C1432BF864D9FD9F436C03ABD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LoDFUwmxsLcRV5ullYONFuocz6tRtugLBBFh/G9r:tomz6nvBIr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:324840:RJAII4ESSIJSWF0gQjIQAUbCDhGFIkADgyYAsMgRyRKoUsEOUMKEAEAxCAIKMEyhgMQwfBAAFqBgkUACJZIEIDCYAIQhKBKM

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:3c1c0404003c3c3c
Color Hash:#2d863e

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data