Security Scan Report: jsxgraph.uni-bayreuth.de

Redirected to: https://jsxgraph.uni-bayreuth.de/home/

Submitted: Feb 4, 2026, 10:26:29 AMCompleted: Feb 4, 2026, 10:28:09 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 4 domains to perform 50 HTTP transactions. The main domain is jsxgraph.uni-bayreuth.de and was registered NaN years ago.

Submitted URL: https://jsxgraph.uni-bayreuth.de

Effective URL: https://jsxgraph.uni-bayreuth.de/home/Redirected

The Cisco Umbrella rank of the primary domain is #135,530 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate site offering JSXGraph library with no security concerns.

Safety Factors
Well-established domain (>5 years old)
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Content aligns with legitimate JSXGraph library
Domain age information unavailable

Details

Page Title

JSXGraph

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

You're looking at domain 'jsxgraph.uni-bayreuth.de' on the German country-code top-level domain (.de), featuring subdomain 'jsxgraph'. Its registrable label 'uni-bayreuth' stretches across 12 characters with 5 vowels and six consonants, along with 1 hyphen. It segments into 2 words: uni, bayreuth. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jsxgraph.uni-bayreuth.de

Page Load Overview

22.31s
Total Load Time
43
HTTP Requests
4
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:2,039 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
74%
education learning
32%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15132.180.10.7Bayreuth, Bavaria, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
14140.82.121.5Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
14185.199.111.153Germany
433--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B105282C571806BC900BE1CCE747A706AD3EB4E7AF262D69F44D47216B0365E893B5EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:5ukJ80tDN8wgQx5DQBlSl5KhT41TunnGNnbizvgPV2cH4cNhXqE4XLZNev3gnHkD:3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:802957:iUckC16IiIiQHELUAyCAmWGHFvAkBTCyBYUzGYF4LUYPAVOYeKR8sS1CJJAjoIjQkzABKRbmmKMNABK2FFCxJRmEagNQTClD

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:ffe7e783c3c3fffc
Perceptual Hash:f4aad7a8598b51a2
Difference Hash:b2054d3296950948
Wavelet Hash:7e878703c3c1c3ec
Color Hash:#ac538e

Other Hashes

Crop Resistant:b2054d3296950948

Scan History

Scan history not available

Unable to load historical scan data