Security Scan Report: www.ifz-muenchen.de

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Submitted: Nov 24, 2025, 11:07:49 AMCompleted: Nov 24, 2025, 11:11:14 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 2 domains to perform 86 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: 92%

0
Risk Score

Legitimate institute website with no apparent security threats.

Safety Factors
Well‑established domain with long registration history
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Consistent institutional branding and content
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 '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 holding 4 vowels versus seven consonants; bonus characters include 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

0.86s
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:9,729 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
84185.243.11.175Nuremberg, Bavaria, Germany
AS197540netcup GmbH
282a00:1450:4001:812::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
1142.250.186.74United States
AS15169GOOGLE
863--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7A3C411E6DD0C2B1B3223A569205B39E50B9B77C3171E41B5BD0E9E8F42F57AE1A08F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vuSyDfCiKzfUkeA9iiWH+nVXXXXXXXXXXafR0+R0hWTRl2ZRljLBETRl2ZRljL0y:vuSyDfCiKzfUgMLS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98765:IYkCgIQbxFAEiwY2AgICcBDESlkdEtNSAYghJJCxQQBlBICAHkUZAcCAuCDpADaAo4IImDxBRkISMYCBJ4ChaJZtbBUAkGiA

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:8c6567b232cc9c73
Difference Hash:87b3b2b3b3b3b32f
Wavelet Hash:011b9b9b99999981
Color Hash:#c6d279

Scan History

Scan history not available

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