Security Scan Report: www.helmholtz-munich.de

Submitted: Oct 19, 2025, 11:15:31 PMCompleted: Oct 19, 2025, 11:17:03 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 2 countries across 3 domains to perform 65 HTTP transactions. The main domain is helmholtz-munich.de.

Submitted URL: https://www.helmholtz-munich.de/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Helmholtz Munich site with no security concerns.

Safety Factors
Official research institute website
Consistent branding and language with Helmholtz Munich
No suspicious forms or data collection fields
No redirection to unrelated domains
Domain age information unavailable

Details

Page Title

Startseite

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education

(70%)

Domain Information

Domain 'www.helmholtz-munich.de' uses the German country-code top-level domain (.de) and includes subdomain 'www'. Count 16 characters in 'helmholtz-munich' containing four vowels alongside 11 consonants; it also includes 1 hyphen. Word splitting yields 2 words: helmholtz, munich. Expect 7.5 characters per word on average. 'munich' is most common in Afrikaans usage. Usage also turns up in Vietnamese and Catalan contexts.

Screenshot

Security scan screenshot of https://www.helmholtz-munich.de/

Page Load Overview

61.52s
Total Load Time
65
HTTP Requests
3
Domains
446 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:17,847 chars
Detector Agreement:100%

Website Classification

Primary Category

education70% confidence
Type: dynamic
Method: structural

All Detected Categories

education
70%
corporate
70%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13108.138.7.11United States
AS16509AMAZON-02
13157.90.187.147Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
13108.138.7.58United States
AS16509AMAZON-02
13108.138.7.90United States
AS16509AMAZON-02
13108.138.7.118United States
AS16509AMAZON-02
655--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D147410D1CD9C3B820243AAB214BBA491EF5D34E7A561C2F2F7445E6ED2D92036E5FE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:IfL+rW9Teo8ifsXWS2tW+ZsjbhhOPV2vJ:GL+rW9So8ifsXWS2I+ZsjbhrB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:192386:kDIBFZBWoBVYmRmVxE9sAMWwCErIlA9pBEIIkj8GdY0EAgWTCIYBT0AgKYYyRoJIiKECzAtCL4BgGvAgIYCysDYyKoGMWACI

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:ffffffffcf878787
Perceptual Hash:b2cd3238cdcd32cc
Difference Hash:3a1d29e11d1d1d1d
Wavelet Hash:ffffc1c105050187
Color Hash:#aae06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data