Security Scan Report: epub.ub.uni-muenchen.de

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Submitted: Jan 3, 2026, 8:35:48 AMCompleted: Jan 3, 2026, 8:37:25 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 5 domains to perform 52 HTTP transactions. The main domain is epub.ub.uni-muenchen.de.

Submitted URL: https://epub.ub.uni-muenchen.de

The Cisco Umbrella rank of the primary domain is #79,578 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate university repository with no security concerns.

Safety Factors
University subdomain (ub.uni-muenchen.de)
High Cisco Umbrella ranking
Absence of credential or payment collection forms
Domain age information unavailable

Details

Page Title

Open Access LMU

Scan Type

public

Language

🇺🇸

English

(32% confidence)

Category

social media network

(45%)

Domain Information

Within the German country-code top-level domain (.de), 'epub.ub.uni-muenchen.de' is registered; it also runs on subdomain 'epub.ub'. Count 12 characters in 'uni-muenchen' with five vowels and six consonants, along with 1 hyphen. It segments into 4 words: uni, mu, e, nchen. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://epub.ub.uni-muenchen.de

Page Load Overview

30.79s
Total Load Time
44
HTTP Requests
5
Domains
167 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:32%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:32%
Script Type:Latin
HTML Lang Attribute:de
Text Length:2,785 chars
Detector Agreement:67%
Language mismatch: Declared as de but detected as en

Website Classification

Primary Category

social media network45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
45%
healthcare medical
43%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
918.66.112.68Germany
7141.84.147.156Munich, Bavaria, Germany
AS12816Leibniz-Rechenzentrum
718.66.112.82United States
AS16509AMAZON-02
7141.84.147.63Munich, Bavaria, Germany
AS12816Leibniz-Rechenzentrum
7142.250.184.227United States
AS15169GOOGLE
7172.66.151.121United States
AS13335CLOUDFLARENET
446--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186924166CDF6E423A22282E1B4F6BF39B4D7420FC6808C21B7FC51B46799D85786385D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:A2EohJzfaTYYi6HpK2S92SAMqHeX+3gf5peDB60puLPh:A2EohJzfaTYYi6H82S92SALHeX+3gf5f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21083:VRJxEkGIAI2wlkHCBARAggohBgWAp04SRvaSECAlBUTMQBKTDBxPxaUSwAOR41IQFAGEBLMpAIok4iYCEAlSuS6jhAkIhCCV

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:000078fbffefffff
Perceptual Hash:e9693836369cccc9
Difference Hash:361a724a4e4c5c48
Wavelet Hash:00002862e7e7efff
Color Hash:#b2c587

Other Hashes

Crop Resistant:361a724a4e4c5c48

Scan History

Scan history not available

Unable to load historical scan data