Security Scan Report: www.pyco.fraunhofer.de

Redirected to:
https://www.iap.fraunhofer.de/de/Forschungsbereiche/PYCO.html
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Submitted: Jun 14, 2026, 5:24:06 AMCompleted: Jun 14, 2026, 5:25:16 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is iap.fraunhofer.de.

Submitted URL: http://www.pyco.fraunhofer.de

Effective URL: https://www.iap.fraunhofer.de/de/Forschungsbereiche/PYCO.htmlRedirected

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

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

Legitimate institutional site; no phishing, malware, or scam indicators detected.

Risk Factors
High JavaScript obfuscation score (base64, unescape, high entropy) – no malicious behavior observed
Safety Factors
Official institutional subdomain (fraunhofer.de)
Search form only, no data exfiltration
No external credential submission
No malicious network activity
Domain age information unavailable

Details

Page Title

Polymercomposite PYCO: Leichtbaulösungen - Fraunhofer IAP

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain 'www.pyco.fraunhofer.de' uses the German country-code top-level domain (.de), featuring subdomain 'www.pyco'. The core label 'fraunhofer' covers 10 characters holding 4 vowels versus six consonants. Word splitting yields 1 word: fraunhofer. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.pyco.fraunhofer.de

Page Load Overview

1.07s
Total Load Time
51
HTTP Requests
4
Domains
8.0 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:6,447 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
51192.102.162.236Berlin, State of Berlin, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
511--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE83A73262EA253F526392A074791718FEE5974BD60A470875EC129E7FCBF42CC1329E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:d7l97AqTzgqzfF9xUUL+cbRYTdN0OUtNJFhXDFWAGJ3NRcF9xUUL+cbRzTdN0OU2:m/wZUuqrtZh4HBJGCgmfi/P3KR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:85270:3hGAUBTQCDvCawwSkB6gJlBmcC0BgBGQZJQoEBhcYWlhKGjAEEKKwFakhBqAcCAWgFrHEOhGKgSgIKQpoQAwhJ8xJWAxAUgq

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:ffe784840001ffff
Perceptual Hash:bb70c40fc7963ab0
Difference Hash:409f194949696901
Wavelet Hash:ffc184840001ffff
Color Hash:#8a53ac

Scan History

Scan history not available

Unable to load historical scan data