Security Scan Report: www.kau.se

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Submitted: Jan 17, 2026, 12:26:54 PMCompleted: Jan 17, 2026, 12:28:06 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 36 HTTP transactions. The main domain is kau.se and was registered NaN years ago.

Submitted URL: https://www.kau.se/

The Cisco Umbrella rank of the primary domain is #697,502 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Established domain (>27 years)
No forms collecting sensitive data
No malicious Indicators of Compromise
Content matches official university branding
Domain age information unavailable

Details

Page Title

Välkommen till Karlstads universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

healthcare medical

(93%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.kau.se' is registered and includes subdomain 'www'. The core label 'kau' covers 3 characters holding two vowels versus one consonant. Tokenizing the label suggests one word: kau. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.kau.se/

Page Load Overview

1.32s
Total Load Time
31
HTTP Requests
2
Domains
3.1 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:4,289 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
93%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16130.243.21.2Karlstad, Värmland County, Sweden
AS1653Vetenskapsradet / SUNET
15193.10.226.38Jönköping, Jönköping, Sweden
AS1653Vetenskapsradet / SUNET
312--

Detected Technologies3

50%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10053A721D3A0213B429791F478705B4EABC2E783D385A480F7ED95469FCFC96EC5B298

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:e1gJEEgy505XOy05XyGb0bfIYNxoveG/+fGPduUtYcou0sKpDwgBUNy3dVFVRTUu:e1gJEb4VFuLw8UZysRAL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60737:LsY0IOk0A0EKXASKCIIABRDArkMVq/YGkGAkIGEAAZSJbOAlgaJoQAhFEtgCAPUQW4QA3EgBPBTMCaKSQQYCnbjLABEEAQFw

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:fffd201838f1e1c3
Perceptual Hash:c847b6ab9c633652
Difference Hash:73e1c5f3f10b0b2b
Wavelet Hash:ff78201838f9e1c3
Color Hash:#79d2a6

Scan History

Scan history not available

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