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Security Scan Report: www.ikz-berlin.de

Submitted: Dec 13, 2025, 10:28:12 PMCompleted: Dec 13, 2025, 10:28:58 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ikz-berlin.de and was registered NaN years ago.

Submitted URL: https://www.ikz-berlin.de/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate institutional site with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No forms collecting sensitive data
Institutional branding matches domain purpose
Domain age information unavailable

Details

Page Title

Leibniz-Institut für Kristallzüchtung - IKZ Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

The domain 'www.ikz-berlin.de' uses the German country-code top-level domain (.de) with subdomain 'www'. The second-level label 'ikz-berlin' is 10 characters long with 3 vowels and six consonants, along with 1 hyphen. Segmentation suggests three words: i, kz, berlin. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ikz-berlin.de/

Page Load Overview

8.16s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
Text Length:747 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
61%
adult content
53%
government public service
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
362.141.167.46Berlin, State of Berlin, Germany
AS20588Forschungsverbund Berlin e.V.
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B43B321D5DA153702336BE93A756B68E1E3D75EC7231A0066FC13DE8BC6F50E8016AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ItgE/eiM/egA/ein/eQDaM4f7Tp+YAK1IIIK/Z:YDF+7Tp+YAKz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55417:SBFACwOEmGGUGiAAJAVFQ0amVI4GwikAzEQBjgCcBBaOVEFzjoB8gzlEAkUQjQCY8ACAArhFGBIigAQ2AAEDOJ9wAggCqpMM

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:ff0000000000c3ff
Perceptual Hash:a90bfce4cba88b23
Difference Hash:63315f934d079640
Wavelet Hash:ff81010001c3ffff
Color Hash:#e09e6c

Scan History

Scan history not available

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