Security Scan Report: www.iap.fraunhofer.de

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Submitted: Jan 13, 2026, 9:45:15 PMCompleted: Jan 13, 2026, 9:47:57 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 iap.fraunhofer.de and was registered NaN years ago.

Submitted URL: https://www.iap.fraunhofer.de/de/Forschungsbereiche/PYCO.html

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official Fraunhofer IAP page with no security concerns.

Safety Factors
Official subdomain of a well‑known research institution
No forms collecting sensitive data
HTTPS connection (secure transport)
Content appears consistent with legitimate research information
Domain age information unavailable

Details

Page Title

Polymercomposite PYCO: Leichtbaulösungen - Fraunhofer IAP

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(50%)

Domain Information

Domain 'www.iap.fraunhofer.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www.iap'. The second-level label 'fraunhofer' is 10 characters long with 4 vowels and six consonants. Word splitting yields one word: fraunhofer. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.iap.fraunhofer.de/de/Forschungsbereiche/PYCO.html

Page Load Overview

90.12s
Total Load Time
25
HTTP Requests
3
Domains
401 KB
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:5,188 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13192.102.162.236Berlin, State of Berlin, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
1294.130.188.80Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
252--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C83A73262EA253F526392A074791718FEE9974BD60A470475EC129E7FCBF42CC1329E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:x7H9OAqTzgqziF9xUUL+cbRYTdN0OUtNJFhXDFWAGJ3NRcF9xUUL+cbRzTdN0OUo:l/BZUuqrtZh4HBJGCgmfi/P32B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85220:AAhSCQQItWSqAMYGaRSX5FUOACwgAKha1hyaQiiOSxRCAUgEEgSMgKQStoLAcAitwika2EgJFRgQZAIIAGupRAEMLZQoLsir

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:ffe1c8c0800cffff
Perceptual Hash:fa61c51ea4991bc5
Difference Hash:4009999d1d393d03
Wavelet Hash:ffc1c0808004ffff
Color Hash:#6cd2e0

Scan History

Scan history not available

Unable to load historical scan data