Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is jenkins-2.sse.uni-hildesheim.de.
Submitted URL: https://jenkins-2.sse.uni-hildesheim.de
The Cisco Umbrella rank of the primary domain is #303,263 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
jenkins-2.sse.uni-hildesheim.de
Scan Type
public
Language
English
Category
technology software
(64%)Domain Information
Within the German country-code top-level domain (.de), 'jenkins-2.sse.uni-hildesheim.de' is registered and includes subdomain 'jenkins-2.sse'. Its registrable label 'uni-hildesheim' stretches across 14 characters holding 6 vowels versus 7 consonants; bonus characters include 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

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 27 | 147.172.178.28 | Hildesheim, Lower Saxony, Germany | AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V. |
| 27 | 1 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data