Summary
API
This website contacted 13 IPs in 3 countries across 14 domains to perform 68 HTTP transactions. The main domain is mau.se and was registered 21 years ago.
Submitted URL: https://mau.se
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Malmö University website on its own official domain; established age, self-branding, no forms of concern, and no threat-intel or malware signals.
Safety Factors
Details
Page Title
Malmö universitet
Scan Type
public
Domain Name Analysis
You're looking at domain 'mau.se' on the Swedish country-code top-level domain (.se) and has no subdomain. Count 3 characters in 'mau' split between 2 vowels and one consonant. Splitting it apart reveals 1 word: mau. Expect 3 characters per word on average. 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 |
|---|---|---|---|
| 8 | 195.178.229.20 | Sweden | AS1653Vetenskapsradet / SUNET |
| 5 | 184.24.77.167Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 108.138.7.97Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 5 | 150.171.110.49Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 5 | 184.24.77.143Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 108.138.7.65Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 5 | 150.171.109.103Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 5 | 184.24.77.135Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 5 | 104.20.41.220Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 5 | 142.251.14.97Google · CDN | United States | AS15169Google LLC |
| 68 | 13 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
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