Security Scan Report: in.tum.de

Redirected to:
https://www.cit.tum.de/cit/startseite/
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Submitted: Jul 5, 2026, 10:09:22 PMCompleted: Jul 5, 2026, 10:10:23 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is cit.tum.de.

Submitted URL: https://in.tum.de

Effective URL: https://www.cit.tum.de/cit/startseite/Redirected

The Cisco Umbrella rank of the primary domain is #83,117 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears to be a legitimate university page with no malicious indicators.

Safety Factors
Official university branding matches domain
No suspicious forms or exfiltration behavior
No malicious JavaScript or external threats detected
Domain age information unavailable

Details

Page Title

TUM School of Computation, Information and Technology - TUM School of Computation, Information and Technology

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(70%)

Domain Information

The domain name 'in.tum.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'in'. Count 3 characters in 'tum' holding one vowel versus 2 consonants. Breaking it apart gives one word: tum. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://in.tum.de

Page Load Overview

2.92s
Total Load Time
43
HTTP Requests
4
Domains
939 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:4,667 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15129.187.254.228Munich, Bavaria, Germany
AS12816Leibniz-Rechenzentrum
14131.159.0.181Munich, Bavaria, Germany
AS209335Technical University of Munich
14129.187.255.55Munich, Bavaria, Germany
AS12816Leibniz-Rechenzentrum
433--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T161831912C1FC7825525613BA73912F2A3E9C913BD2891C90B5EEC3194FC9FA09D9F29D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mlfpuevhJuJ0s6oXyWk6ti/RTVAMSvnrVH0jFvXu2:mJhJuJ0s+8vrVUjFvj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84453:jgEZIoEIEqaCyZAJkRgABA7G3EqI+BCoKdQBxrIBRVtSsAooUUAEAzUAhoQASg3YYcXgRBGJ+RwRskQAIRwMBZAhEwJpEAga

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:000033011f5f7eff
Perceptual Hash:922d5613fc2cab8d
Difference Hash:93cee7e73abdfc2d
Wavelet Hash:000023231f5f7fff
Color Hash:#d22d72

Scan History

Scan history not available

Unable to load historical scan data