Security Scan Report: www.fit.fraunhofer.de

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Submitted: Jan 4, 2026, 3:18:55 PMCompleted: Jan 4, 2026, 3:20:08 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 4 domains to perform 48 HTTP transactions. The main domain is fit.fraunhofer.de.

Submitted URL: https://www.fit.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: 95%

0
Risk Score

Legitimate Fraunhofer FIT website with no apparent security threats.

Safety Factors
Established organization (Fraunhofer Society)
Domain is a subdomain of a well‑known, long‑standing domain
Low‑risk Cisco Umbrella ranking does not indicate impersonation here
Domain age information unavailable

Details

Page Title

Fraunhofer FIT - Fraunhofer FIT

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

cryptocurrency blockchain

(47%)

Domain Information

The domain 'www.fit.fraunhofer.de' uses the German country-code top-level domain (.de) with subdomain 'www.fit'. The core label 'fraunhofer' covers 10 characters split between four vowels and six consonants. Breaking it apart gives 1 word: fraunhofer. The median word length lands at ten characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.10s
Total Load Time
55
HTTP Requests
5
Domains
4.5 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:9,114 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
47%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1994.130.188.80Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
1892.122.215.18Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
18192.102.162.236Berlin, State of Berlin, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
553--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F6C3972297CE2D2F6623879479782B28FEF6970FD51A4B0031FC161ABBC7F4545134AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:VxLJV/dchZUq+cTZYcAeAs6s625z2xd1GK7dOXDNcrHn:V95aV+YSxXXmzWOJaHn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124563:xAjFwACI0CWAAIOQABCQJUQRJ8EMIEtkWboGAAmohQkQgWOAjA2nYJoBIBCI8g5lCCvHVSC4uAAUivEJAIBLQAEDAQkgJBgA

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:ffe180810101ffc1
Perceptual Hash:facce19de1853e80
Difference Hash:4011414571751d0f
Wavelet Hash:ffe181818181ffe1
Color Hash:#786f3a

Scan History

Scan history not available

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