Security Scan Report: www.tropos.de

Site favicon
Submitted: Jan 16, 2026, 3:28:27 AMCompleted: Jan 16, 2026, 3:30:06 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 52 HTTP transactions. The main domain is tropos.de.

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Informational site on an unranked, age‑unknown domain; moderate risk due to lack of age data.

Risk Factors
Unknown domain age
Unranked domain
Brand mention on a domain with unknown age
Safety Factors
No malicious Indicators of Compromise
No password or payment fields
Informational content without solicitation
Domain age information unavailable

Details

Page Title

Home - Leibniz-Institut für Troposphärenforschung e.V. (TROPOS)

Scan Type

public

Language

🇩🇪

German

(51% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.tropos.de' uses the German country-code top-level domain (.de) and includes subdomain 'www'. The registrable portion 'tropos' spans 6 characters split between two vowels and four consonants. Breaking it apart gives 1 word: tropos. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.73s
Total Load Time
52
HTTP Requests
2
Domains
1.3 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:51%
Script Type:Latin
Text Length:9,630 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
26193.175.117.10Wismar, Mecklenburg-Vorpommern, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
26193.175.5.33Leipzig, Saxony, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
522--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15A93872085F9392B126653B46F305B6BAEC3E777C5171E00B6AC5B8A8F87F429C4354E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Yq4urDdkuRLu/e2K6ms4dTWbSXjGxZjwruUp9LrE6vUKa4ZktunikDUuQsU7lDqv:Yq4qLu/e2K6msYTWbSXjGxZ8ruUp9LrV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90906:fQaBSgiiY0Y4EQEqMxGEJ0FUqAgwUABBBhEJOSEpAFfGpSm6ABUQIAEEnUiDG4USECfEhBcY/hoMQgEQRMeEYCKCQEQiGk6K

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:ff0c0c0cffffffc3
Perceptual Hash:b11beccce49931b8
Difference Hash:3279999906068c9e
Wavelet Hash:df000800c7f7ffc3
Color Hash:#536cac

Scan History

Scan history not available

Unable to load historical scan data