Security Scan Report: www.mdc-berlin.de

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Submitted: Oct 13, 2025, 4:14:28 AMCompleted: Oct 13, 2025, 4:14:55 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 43 HTTP transactions. The main domain is mdc-berlin.de.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate research institute website with no security concerns.

Safety Factors
Official institutional website
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

www.mdc-berlin.de

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the German country-code top-level domain (.de), 'www.mdc-berlin.de' is registered; it also runs on subdomain 'www'. Count 10 characters in 'mdc-berlin' holding 2 vowels versus 7 consonants, plus 1 hyphen. Splitting it apart reveals two words: mdc, berlin. Median word length comes out to 4.5 characters. 'mdc' most often appears in Vietnamese. You will also see it in Catalan and Breton contexts.

Screenshot

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

Page Load Overview

8.27s
Total Load Time
43
HTTP Requests
1
Domains
7.9 MB
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:8,586 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
13151.101.195.52San Francisco, California, United States
AS54113FASTLY
10151.101.67.52San Francisco, California, United States
AS54113FASTLY
10151.101.131.52San Francisco, California, United States
AS54113FASTLY
10151.101.3.52San Francisco, California, United States
AS54113FASTLY
434--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T159F38361A6F1652A015235F6E33AA71EAAE0D113E3995C4073EC039DCFD6C259E33A7C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vE0DYBcGEnHYkQvw0u+LeLX0fQT0fw9ki2ew:M0DYBcGEnHYkQvw0u+LePw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165888:OAAnFKSUSCFDUDAQLIchQhADERFJ3KIIQAoo1WQEIkGgEU4DAnAD1Co1QUaohWK4wcAE1llSoGAiTyhIOJFKBiAAbFgKSsCk

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:7d103032163e3a03
Perceptual Hash:8c426b95b5c9caa7
Difference Hash:d12525e666e666e7
Wavelet Hash:ff101133373e3b03
Color Hash:#783a4c

Scan History

Scan history not available

Unable to load historical scan data