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Security Scan Report: sse.uni-hildesheim.de

Redirected to:
https://www.uni-hildesheim.de/software-systems-engineering-sse/
Submitted: Apr 19, 2026, 10:10:24 AMCompleted: Apr 19, 2026, 10:11:45 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is uni-hildesheim.de.

Submitted URL: https://sse.uni-hildesheim.de

Effective URL: https://www.uni-hildesheim.de/software-systems-engineering-sse/Redirected

The Cisco Umbrella rank of the primary domain is #303,263 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site shows moderate risk due to unknown age, low ranking, and obfuscated scripts, but lacks credential collection or malware indicators.

Risk Factors
Unknown domain age
Low domain reputation ranking
High JS obfuscation score (potentially suspicious code)
Presence of forms on a newly‑registered subdomain
Safety Factors
No credential or payment fields in forms
No Indicators of Compromise matched
No JavaScript malware YARA patterns detected
No network IDS alerts
Subdomain of a recognized university (uni‑hildesheim.de)
Domain age information unavailable

Details

Page Title

Software Systems Engineering (SSE) - Universität Hildesheim

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(49%)

Domain Information

You're looking at domain 'sse.uni-hildesheim.de' on the German country-code top-level domain (.de) with subdomain 'sse'. The registrable portion 'uni-hildesheim' spans 14 characters split between six vowels and seven consonants; it also includes one hyphen. Splitting it apart reveals two words: uni, hildesheim. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sse.uni-hildesheim.de

Page Load Overview

7.50s
Total Load Time
30
HTTP Requests
2
Domains
1.1 MB
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-DE
Text Length:6,536 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
49%
government public service
26%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15147.172.2.2Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
15147.172.2.53Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
302--

Detected Technologies7

X-UA-Compatible
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
TYPO3
50%
HSTS
40%
Stimulus
30%
Matomo Analytics
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D94D8B523B033F59487C3F8F6B15669AE559BA3CA038C81F39C4B41AF42D198D436DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ZVuZf+BIPjrECoqRNGfmU8BIPjrMhYSWE3sAcP+86u4Cb3sS8y+5AKkQbTWVQDZu:Pu26tQxXrPNSVnXQwQrI4ez5VroAD6D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:424528:CAHmAA4gmACSMAsggoIg4AIShgyAXAlgWEAKaNkEAEFOJoIIBBSZRDJII+Gy9EgwE4ZCQRCgSAEiyAAcEDABJFGGQAQlQcAE

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:bd8787c3c3dfc3c3
Perceptual Hash:b80f8fc96168cb33
Difference Hash:415c0e161e301616
Wavelet Hash:818787c3c3cfc3c3
Color Hash:#6ce0e0

Other Hashes

Crop Resistant:415c0e161e301616

Scan History

Scan history not available

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