Security Scan Report: www.ifz-muenchen.de

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Submitted: Oct 8, 2025, 11:32:41 AMCompleted: Oct 8, 2025, 11:34:24 AMpubliccompleted
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Summary

This website contacted 4 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/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate research institute with no security concerns.

Safety Factors
Domain age > 15 years (well established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Official institutional content and branding
Domain age information unavailable

Details

Page Title

Institut für Zeitgeschichte: Institut für Zeitgeschichte

Scan Type

public

Language

🇩🇪

German

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'www.ifz-muenchen.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www'. Its registrable label 'ifz-muenchen' stretches across 12 characters holding four vowels versus seven consonants, along with 1 hyphen. Word splitting yields 5 words: if, z, mu, e, nchen. Average segment length settles at two characters. Most frequently, 'if' shows up in Italian. Usage also turns up in Albanian and Romanian contexts.

Screenshot

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

Page Load Overview

59.26s
Total Load Time
86
HTTP Requests
2
Domains
5.3 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:50%
Script Type:Latin
Text Length:9,679 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
21185.243.11.175Nuremberg, Bavaria, Germany
AS197540netcup GmbH
2164.233.166.95United States
AS15169GOOGLE
212a00:1450:4001:811::200aUnited StatesUnknown
21216.58.206.42United StatesUnknown
864--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192A3C311E6DD0C2B277222A92D105B39E50B9B77C3171E41B5BD0E9E8F42E57AE1E08F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LuSyDfCiKzfUkeA9iiWH+nQXXXXLXXXXXafR0UR0BWTRlh24RlLUBETRlh24RlL2:LuSyDfCiKzfUfMLS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98597:TAnbBJeAYcQCAnDjAQBAEjRBIAdAjHTAILUlSCgAcEgTFSLl8BVLfEkAQAEgwAoAwUasDhAAUQkS6pkbEJOABCDgBiBAQGRg

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:9c65679233cccc71
Difference Hash:87b3b2b3b3b3b327
Wavelet Hash:011b9b9b99999b83
Color Hash:#591f93

Scan History

Scan history not available

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