Security Scan Report: www.fbh-berlin.de

Submitted: Nov 17, 2025, 1:40:47 AMCompleted: Nov 17, 2025, 1:41:37 AMpubliccompleted
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Summary

This website contacted 1 IP in 0 countries across 2 domains to perform 35 HTTP transactions. The main domain is fbh-berlin.de.

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate site of the Ferdinand‑Braun‑Institut with no security concerns.

Safety Factors
Official institute domain
No credential or payment collection
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Ferdinand-Braun-Institut

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

documentation technical

(48%)

Domain Information

Domain 'www.fbh-berlin.de' uses the German country-code top-level domain (.de), featuring subdomain 'www'. Its registrable label 'fbh-berlin' stretches across 10 characters split between two vowels and seven consonants; it also includes 1 hyphen. Splitting it apart reveals 3 words: fb, h, berlin. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

31.07s
Total Load Time
35
HTTP Requests
2
Domains
706 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:8,812 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
48%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35193.175.194.74UnknownUnknown
351--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD14011174FE312F02B262B9A7A22B1DBE81524BD2593D0575EC8A4F4FBEF022D4B51D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ztDza1tdqECg1Un+LrsqlnDZOxFyzFOgz0AwbW2F7gWvRnljLHHvsY0jn2W:Za1tdqE91b7DOFyNClgWvRl3an2W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:203055:D7AoA7ERJmDAighzoFAmUClWiIBWnkCdeEAhKgAACmIEEHtrQHAlgZykJwDBKADhA5Y4icJQAB9sE4biJ0FAgBUR5kAhTDgQ

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:fffbf1f1fb8181f9
Perceptual Hash:ed849373856e6299
Difference Hash:497623a7d20b2b3b
Wavelet Hash:fffb91f1f3810001
Color Hash:#d27992

Scan History

Scan history not available

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