Security Scan Report: www.fbh-berlin.de

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Submitted: Jan 10, 2026, 10:57:11 PMCompleted: Jan 10, 2026, 10:58:39 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 41 HTTP transactions. The main domain is fbh-berlin.de.

Submitted URL: https://www.fbh-berlin.de/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Official institute branding and terminology
Absence of login, password, or payment fields
No hidden malicious scripts or redirects detected
Domain age information unavailable

Details

Page Title

Ferdinand-Braun-Institut

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

documentation technical

(55%)

Domain Information

The domain 'www.fbh-berlin.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www'. Its registrable label 'fbh-berlin' stretches across 10 characters holding two vowels versus 7 consonants, notching one hyphen. It segments into 3 words: fb, h, berlin. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.fbh-berlin.de/

Page Load Overview

5.21s
Total Load Time
33
HTTP Requests
2
Domains
589 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:9,007 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
55%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33193.175.194.74Essen, North Rhine-Westphalia, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
331--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15714111174FE312F02B262B9A7A22B1DBD81524BD2593D0575EC8A4F4FBEF022D4B91D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:wLDza1tdqECg1Un+krsqlODZOxFyzFOW6f8RdJwqX7UWvRnGjLHHvHY0jn8W:Wa1tdqE91gyDOFyofKddUWvRG3fn8W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:204467:B2VLAhRAU1SCASCBOBSSBBhWAQwdAWhDPUE2IAQABACKCAk5lWCi+QBgBAbBUaNgBCYSihFSDI7IkkQoQUeAioMAAmEpJAkw

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:fff1f1e1e1e1f9ff
Perceptual Hash:eac69573a61c9994
Difference Hash:4d4323274383033b
Wavelet Hash:ffe1e1c1e1c18199
Color Hash:#c72dd2

Scan History

Scan history not available

Unable to load historical scan data