Security Scan Report: jenkins-2.sse.uni-hildesheim.de

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Submitted: Feb 14, 2026, 11:11:37 PMCompleted: Feb 14, 2026, 11:13:21 PMpubliccompleted
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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%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Standard hosting without IPFS or cloud storage
Subdomain of a reputable academic institution
No suspicious JavaScript patterns detected
Domain age information unavailable

Details

Page Title

jenkins-2.sse.uni-hildesheim.de

Scan Type

public

Language

🇺🇸

English

(50% confidence)

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

Security scan screenshot of https://jenkins-2.sse.uni-hildesheim.de

Page Load Overview

19.55s
Total Load Time
27
HTTP Requests
1
Domains
53 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:5,445 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software64% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
64%
documentation technical
35%
government public service
25%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27147.172.178.28Hildesheim, Lower Saxony, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
271--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A048F77329A063986558498F05B83099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:LfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8OldK:0hoC9JSqzzbs6o3Sj3gcrsK2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184546:cBVpw41JQIINCAEKslMQQUopCClChKjRIQFEmmgdB9pSKAPiTECDMAiUwaYIcpBDMDEJLEQgMuCo0g4Y04AEAxACEGS3IIOc

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#6c8fe0

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data