Security Scan Report: www.ibmt.fraunhofer.de

Redirected to:
https://www.ibmt.fraunhofer.de/
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Submitted: Jun 11, 2026, 11:24:58 PMCompleted: Jun 11, 2026, 11:26:09 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is ibmt.fraunhofer.de.

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

Effective URL: https://www.ibmt.fraunhofer.de/Redirected

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

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

The site appears legitimate with no phishing, credential harvesting, or malware signs.

Safety Factors
Self‑branding aligns with domain
Absence of credential collection forms
No malicious indicators from threat intelligence or malware scans
Known institutional subdomain (fraunhofer.de) with established reputation
Domain age information unavailable

Details

Page Title

Deutsch

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(50%)

Domain Information

Domain 'www.ibmt.fraunhofer.de' uses the German country-code top-level domain (.de), featuring subdomain 'www.ibmt'. Count 10 characters in 'fraunhofer' containing 4 vowels alongside six consonants. Segmentation suggests one word: fraunhofer. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.07s
Total Load Time
96
HTTP Requests
3
Domains
14.9 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:18,199 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%
forum
40%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
96192.102.162.236Berlin, State of Berlin, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
961--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A44D932E2C6567F129341F4B6BD6BA4EDF9874BD506828831FE139C3BC7D9284131A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:f55u5N57Ul5R2YXIEi6lkGa+Wlt+BV6fxNMG+NvRr4N:f55u5Nyl/2YXIEi6lkGslEBV6fxNM6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:255616:QGEHAVOpN3xVAXbBBgkYi1A4oaIYQgMKCUwZRMQYQAogGokJBAVywFJMEVQFRaBDoCCzACyCkqHQDCqiUkvwqgKMgh0SMBSR

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:ffc580000000fff9
Perceptual Hash:fbb5c034cb854e94
Difference Hash:401d755559090909
Wavelet Hash:ffe188808180fff9
Color Hash:#8e87c5

Scan History

Scan history not available

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