Security Scan Report: www.bnitm.de

Submitted: Jan 19, 2026, 4:46:39 PMCompleted: Jan 19, 2026, 4:47:56 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 2 domains to perform 61 HTTP transactions. The main domain is bnitm.de.

Submitted URL: https://www.bnitm.de/

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Informational site with unknown domain age; proceed cautiously and verify through official channels.

Risk Factors
Domain age unknown – cannot verify establishment
Unranked domain (low visibility in reputation rankings)
Safety Factors
No forms collecting passwords, payment or personal identifiers
No known malicious Indicators of Compromise
Content appears to be informational about a research institute
Domain age information unavailable

Details

Page Title

Bernhard-Nocht-Institut für Tropenmedizin

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.bnitm.de' uses the German country-code top-level domain (.de) and includes subdomain 'www'. The second-level label 'bnitm' is 5 characters long holding 1 vowel versus four consonants. Word splitting yields three words: bn, it, m. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bnitm.de/

Page Load Overview

3.83s
Total Load Time
99
HTTP Requests
2
Domains
1.2 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:8,356 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
99104.151.87.202Würzburg, Bavaria, Germany
AS88811&1 Versatel GmbH
991--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18CF38D3192DA263607374AF4B7606B2DB882934FC2635A0473EC07A78FC5EA15D1B59F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cOQ2+TzVCgkP4E7VUhEKkp4YY3ZuUZTjEJfIv/92oUOjRmcCm:3+TsHIhPXJVp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:157983:AJAQlBAg1MCIUQBsDpjBQyhFVS5CksA3EAIkGBUmDo8TQKBlLCwAaHVAEAZE1C0BbYAKmAmkgYAIMCghUGgBkWMA2BEwAMaA

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:009787878787ffff
Perceptual Hash:be3ec15159443637
Difference Hash:742c2f2f2f2d0706
Wavelet Hash:008783838787dbff
Color Hash:#3a3c78

Scan History

Scan history not available

Unable to load historical scan data