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Security Scan Report: www.zbmed.de

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Submitted: Jan 18, 2026, 5:56:03 PMCompleted: Jan 18, 2026, 5:57:12 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 5 HTTP transactions. The main domain is zbmed.de.

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Informational site with unknown age; no credential collection but unranked status suggests caution.

Risk Factors
Unranked domain combined with brand name
Unknown domain age
Brand impersonation detection despite lack of credential forms
Safety Factors
No password, email, or payment fields in any form
No malicious Indicators of Compromise matches
Standard informational content (no suspicious scripts reported)
HTTPS connection (assumed from URL scheme)
Domain age information unavailable

Details

Page Title

ZB MED – Informationszentrum Lebenswissenschaften

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the German country-code top-level domain (.de), 'www.zbmed.de' is registered, featuring subdomain 'www'. The core label 'zbmed' covers 5 characters containing one vowel alongside four consonants. Breaking it apart gives two words: zb, med. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.99s
Total Load Time
55
HTTP Requests
7
Domains
9.1 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:9,497 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1334.102.170.124Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
735.201.111.240Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
734.95.108.180Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
734.149.254.14Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
735.190.14.188United States
AS396982GOOGLE-CLOUD-PLATFORM
7157.90.220.70Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
7194.6.208.111Germany
AS4744723M GmbH
557--

Detected Technologies6

TYPO3
100%
JQueryv1.11.1
100%
PHP
50%
jQuery UI
20%
Usercentrics
20%
TYPO3 CMS
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15693414358A4203701E342EBB234D715E2E3E5D7C8362B047AEE57864B87FE19E5367A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:WI0NtpD8q0AkUuCulBtOdyg4ISAo1F8q1VDvzZpe0N1HqAwZJSpJzDnNoKNtNFu+:WjGUuCuoo1FBt7TTN1HqAwZJSpNDNocd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93688:C4iaIRJGBuAKDwDBNhGB1JAA3DjkgJgJQgiCgvGgwAkBgKhgoJkDArJiVBVFCBnUDQAxQmRKwkIYN0wkiAzAgAqAAmQiAKgB

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:0001393d3d390101
Perceptual Hash:ca4936b3999d2663
Difference Hash:31076371736b0f27
Wavelet Hash:a181b9bdbdbd8181
Color Hash:#832d86

Other Hashes

Crop Resistant:5b5b5b5b585b5a5b,f2c0b0a28eec698e,32076371792b0f27

Scan History

Scan history not available

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