Security Scan Report: www.daad.de

Submitted: Jan 19, 2026, 5:46:33 PMCompleted: Jan 19, 2026, 5:47:32 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is daad.de.

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

The Cisco Umbrella rank of the primary domain is #679,677 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is the legitimate DAAD website with no security concerns.

Safety Factors
Official brand domain
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise
HTTPS connection (assumed from official site)
Low‑ranking but still within top 1 M domains
Domain age information unavailable

Details

Page Title

Deutscher Akademischer Austauschdienst - DAAD

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(93%)

Domain Information

The domain 'www.daad.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www'. Count 4 characters in 'daad' with 2 vowels and 2 consonants. Splitting it apart reveals 2 words: da, ad. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.11s
Total Load Time
164
HTTP Requests
2
Domains
1.1 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
Text Length:13,361 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning93% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education learning
93%
adult content
82%
healthcare medical
66%
government public service
52%
entertainment media
39%

Detected Features

Search
OG: Webseite

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164185.158.226.254Leipzig, Saxony, Germany
AS205435GISA GmbH
1641--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147A4A925F408101E18B7E2DDE0BDEE25D0B7F10AC30616E9FACB53685FD7A932952D68

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:p8JHzYiRpx4QUcSACgaZyw8dr7qj/fbciU:KJHzYUpx4QUcSACgior7qj/fbo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:491499:wwBaQUokiJQjUMkUPQwDAAggBjhUAGAQKGQiIcCIsF8CRQIoIZKamhAXFODIGgAjEEGCAWFgo6RhIKKVSQAFR4QSIXpIBgEA

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:ffff3c3c3c3c0000
Perceptual Hash:8eaf74c5cf120b4c
Difference Hash:611769696171ac29
Wavelet Hash:ffff3c3c3c3c0000
Color Hash:#866e2d

Scan History

Scan history not available

Unable to load historical scan data