Security Scan Report: mbi-berlin.de

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Submitted: Dec 30, 2025, 2:18:52 PMCompleted: Dec 30, 2025, 2:19:25 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 45 HTTP transactions. The main domain is mbi-berlin.de and was registered NaN years ago.

Submitted URL: https://mbi-berlin.de/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and is considered legitimate.

Safety Factors
Domain is over 4 years old (well established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms present
Content appears to be a legitimate research institute website
Domain age information unavailable

Details

Page Title

Homepage | Max-Born-Institut

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(38%)

Domain Information

Within the German country-code top-level domain (.de), 'mbi-berlin.de' is registered and has no subdomain. The registrable portion 'mbi-berlin' spans 10 characters holding three vowels versus 6 consonants, along with one hyphen. Word splitting yields 2 words: mbi, berlin. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mbi-berlin.de/

Page Load Overview

7.40s
Total Load Time
51
HTTP Requests
1
Domains
2.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:6,065 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business38% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
38%
government public service
38%
education learning
35%
adult content
32%
blog personal website
26%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5162.141.173.60Berlin, State of Berlin, Germany
AS20588Forschungsverbund Berlin e.V.
511--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10EB32F3089F13637026391F2A6A91F2BBFE1A547D5462D40B6FC4B8A4FDAE539C0316D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:k0AOODCn7kCn7jbld/nsxlaS2jzoV1GX+kKadPUtphBYUfdwdN9tt1niml02z8oi:kwOw3jbld/na2jzoV14HjDIeDBVxlg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:111943:AGAgIUEgHFjWsAFLybKRGoA9JHIQG2BiNGCvQkIUAMGYuER4GhXcjQg1EKAgo1AwME4VDQhKmQHEQACLBChxjCEDhhBlqSUJ

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:8ff1c1c1f18f9f9f
Perceptual Hash:e969969643393365
Difference Hash:3c539393133c3636
Wavelet Hash:00f1c1c1f1879f9f
Color Hash:#53ac81

Scan History

Scan history not available

Unable to load historical scan data