Security Scan Report: www.ifz-muenchen.de

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Submitted: Dec 26, 2025, 12:38:15 PMCompleted: Dec 26, 2025, 12:38:36 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 85 HTTP transactions. The main domain is ifz-muenchen.de and was registered NaN years ago.

Submitted URL: https://www.ifz-muenchen.de/

The Cisco Umbrella rank of the primary domain is #983,756 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
No credential or payment forms
No external links or suspicious redirects
Domain age information unavailable

Details

Page Title

Institut für Zeitgeschichte: Institut für Zeitgeschichte

Scan Type

public

Language

🇩🇪

German

(55% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'www.ifz-muenchen.de' uses the German country-code top-level domain (.de) and includes subdomain 'www'. The second-level label 'ifz-muenchen' is 12 characters long with four vowels and 7 consonants, plus one hyphen. Segmentation suggests five words: if, z, mu, e, nchen. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ifz-muenchen.de/

Page Load Overview

5.21s
Total Load Time
86
HTTP Requests
2
Domains
5.3 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:55%
Script Type:Latin
Text Length:9,722 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43216.58.206.42United States
AS15169GOOGLE
43185.243.11.175Nuremberg, Bavaria, Germany
AS197540netcup GmbH
862--

Detected Technologies3

100%
JQueryv1.12.4
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143A3C411D7DD1C2B2B7222A56C105B39E50B9B77C3171E41B5BD0E8E8F82E57AE1A08F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ruSyDfCiKzfUkeA9iiWH+nDLXXXXXXXXXafR0eR07WTRlVORlEcBETRlVORlEc0/:ruSyDfCiKzfUdMLS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99235:IZwYBCKmIgYMFliooYSRfKDVZTSxTCBYNKAAAHTAYQJI3IQIgolBuwlEABe4cAIkgHojoGoCBsI4MAhAdAVcGCxxCAMIIbkA

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:0018181818181800
Perceptual Hash:9c79639263cccc69
Difference Hash:87b3b2b3b3b3b32f
Wavelet Hash:819b9b9b1b1b1b03
Color Hash:#bf79d2

Scan History

Scan history not available

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