Security Scan Report: www.iaf.fraunhofer.de

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Submitted: Jan 11, 2026, 10:16:31 PMCompleted: Jan 11, 2026, 10:18:00 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 1 HTTP transaction. The main domain is iaf.fraunhofer.de and was registered NaN years ago.

Submitted URL: https://www.iaf.fraunhofer.de/

The Cisco Umbrella rank of the primary domain is #135,794 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Fraunhofer IAF site with no security concerns.

Safety Factors
Official subdomain of a reputable parent domain
Absence of credential‑harvesting or payment forms
Low risk content (newsletter, informational pages)
Domain age does not affect trust due to parent domain reputation
Domain age information unavailable

Details

Page Title

Startseite - Fraunhofer IAF

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(50%)

Domain Information

Within the German country-code top-level domain (.de), 'www.iaf.fraunhofer.de' is registered with subdomain 'www.iaf'. Count 10 characters in 'fraunhofer' with 4 vowels and six consonants. Splitting it apart reveals 1 word: fraunhofer. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.iaf.fraunhofer.de/

Page Load Overview

11.27s
Total Load Time
55
HTTP Requests
3
Domains
27.1 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:34,371 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2894.130.188.80Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
27192.102.162.236Berlin, State of Berlin, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
552--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2E3541297DF192B3627C391ACB42B6CBCA6574BD51E2A4130EC294F77C7E018A0369F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:yT5xL28V/voKgqbvyPtBcZEHNGkOYwsfDn5GXaR6xaFsCfe5V2b9a8K7hzscwR17:yT59yKgoEHNy8bM2sCfenY7gHU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:152021:4whARAmDgIxRAkBCaJJlJZgSiIamEoMIgxABwjARF6uAR2cAJChYABbCBEggH4p56CtSMKuISPYVAIxGhgERoACAhNAsCwIh

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:ffc0e7830703ffff
Perceptual Hash:bfc2c11d9d853692
Difference Hash:401d0d373f37361b
Wavelet Hash:ffc0c7810103ffc3
Color Hash:#62862d

Scan History

Scan history not available

Unable to load historical scan data