Security Scan Report: www.kau.se

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Submitted: Jun 3, 2026, 4:10:18 PMCompleted: Jun 3, 2026, 4:11:37 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. 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

Low Risk

Confidence: 92%

2
Risk Score

The site is a legitimate university page with no malicious indicators; low risk.

Risk Factors
Low Cisco Umbrella ranking (697,502) for a site claiming a brand
Safety Factors
Long‑standing domain registration (1998)
Official university branding aligns with domain
No malicious network or IDS alerts
JavaScript obfuscation score high but identified as normal minification
Domain age information unavailable

Details

Page Title

Välkommen till Karlstads universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the Swedish country-code top-level domain (.se), 'www.kau.se' is registered, featuring subdomain 'www'. Its registrable label 'kau' stretches across 3 characters split between two vowels and one consonant. Splitting it apart reveals 1 word: kau. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.43s
Total Load Time
31
HTTP Requests
2
Domains
3.2 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:4,239 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Schema.org

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

T14E53D921D3A0243B429791F478706B4EAB92E783D385A480F7ED4146DFCFC96EC5B299

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:y1gJASpy505XOy05XybK7QEst/nWIYNxove5N+fYkU110slvDwgBUNy3dVFVRTU2:y1gJAUe7QEst/n+kezrw8UZqsR74

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64064:qx0ARIBC6ASgDHKmSgKixUDJvAycQ5EALWyR4AgYcmYzrAUGAEAag4jJBY0CQYsAjCGIABKTAlQ7AKgDxHEtABhkdJQIBMON

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:fff9401838c78189
Perceptual Hash:ccc7b297893e3264
Difference Hash:7363a5f3f32d2333
Wavelet Hash:fff9401838d78389
Color Hash:#e06c96

Scan History

Scan history not available

Unable to load historical scan data