Security Scan Report: ls.tum.de

Redirected to: https://www.ls.tum.de/ls/startseite/

Submitted: Jan 24, 2026, 11:19:26 AMCompleted: Jan 24, 2026, 11:20:25 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 31 HTTP transactions. The main domain is ls.tum.de.

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

Effective URL: https://www.ls.tum.de/ls/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

Legitimate university site with no security concerns.

Safety Factors
Meta tags align with legitimate university content
Domain is part of an established academic institution
No credential or payment collection forms
No external malicious links
Cisco Umbrella ranking within top 100k indicates recognized domain
Domain age information unavailable

Details

Page Title

Universität in Weihenstephan - TUM School of Life Sciences

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

healthcare medical

(51%)

Domain Information

Within the German country-code top-level domain (.de), 'ls.tum.de' is registered, featuring subdomain 'ls'. The registrable portion 'tum' spans 3 characters holding one vowel versus two consonants. Tokenizing the label suggests 1 word: tum. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.98s
Total Load Time
38
HTTP Requests
3
Domains
626 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:8,084 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
51%
education learning
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14129.187.255.55Munich, Bavaria, Germany
AS12816Leibniz-Rechenzentrum
12129.187.39.10Munich, Bavaria, Germany
AS12816Leibniz-Rechenzentrum
12129.187.255.109Munich, Bavaria, Germany
AS12816Leibniz-Rechenzentrum
383--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16E93F721C0DE7C39021623B6A7B12B1AAA5EA677C5911C94B6EFC3180F86FD25D4F13D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UEvZB8kaLIOZoUF97zC4HBKGEOjaNBpj/6UK34GPEE96fRTVAVjnEyHLjFvXX2:UiB8kaLIOZj97zC4HBKGEOjaNBpj/6Up

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93662:AEA6QGiAbAUEEg0Bg+oBA+RRBBA+B81IaAbZ2ZINEAY6sE0gUI1+hEAaBESAWKviCgSgAAnSCyCQdIHQgJAAySQIAgSQkxKI

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:0004ffe4e0e07fff
Perceptual Hash:f22c9d615325fa8c
Difference Hash:92ad2d4d494dcd39
Wavelet Hash:00003f24e0e07fff
Color Hash:#c59087

Scan History

Scan history not available

Unable to load historical scan data