Security Scan Report: www.isc.fraunhofer.de

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Submitted: Oct 12, 2025, 8:56:01 PMCompleted: Oct 12, 2025, 8:56:44 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 33 HTTP transactions. The main domain is isc.fraunhofer.de.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Fraunhofer ISC site with no security concerns.

Safety Factors
Official institutional subdomain
Standard informational website with no credential collection
No malicious Indicators of Compromise
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

www.isc.fraunhofer.de

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

documentation technical

(60%)

Domain Information

The domain name 'www.isc.fraunhofer.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www.isc'. Its registrable label 'fraunhofer' stretches across 10 characters with 4 vowels and six consonants. Breaking it apart gives 1 word: fraunhofer. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

22.12s
Total Load Time
33
HTTP Requests
3
Domains
1.8 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:11,598 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
60%
healthcare medical
37%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1794.130.188.80Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
16192.102.162.236Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
332--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106A33432B3C9662B626342E4F57927B9FDBA870FD50A660431FC454E3BC7D468A0325A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:wxLSV/53VPXMnCvcwEUm8UzhqRkXCz3Ulj44+R7JmpAQjYC3QZmN77niOE8zyDIs:w9yPXMnCvcwEUm8UzhqRZWQ49a1HZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:101018:w0DbSSNgDplHMIZIh9KKnSEWYiAOEyhACsCChJAuCIBgA5E8kMgAIJsGAkCYsAFIoRhAAYoPEiKAtosKwDQyh3gOEYy8BblD

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:ffff80000000e1ff
Perceptual Hash:fa948541953e6ec9
Difference Hash:60110d3d13454100
Wavelet Hash:ffff80048080e1ff
Color Hash:#d2a679

Scan History

Scan history not available

Unable to load historical scan data