Security Scan Report: www.kth.se

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Submitted: May 23, 2026, 2:19:12 AMCompleted: May 23, 2026, 2:20:36 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 27 HTTP transactions. The main domain is kth.se and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #228,299 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate KTH university page with no malicious indicators.

Safety Factors
Established, long‑standing domain
Brand name in meta tags matches the hosting domain
Absence of malicious forms or credential harvesting
No external Indicators of Compromise or IDS alerts
Page type is an article (og:type="article"), indicating informational content
Domain age information unavailable

Details

Page Title

KTH - Sveriges största tekniska universitet | KTH

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

social media network

(97%)

Domain Information

You're looking at domain 'www.kth.se' on the Swedish country-code top-level domain (.se), featuring subdomain 'www'. The core label 'kth' covers 3 characters containing zero vowels alongside 3 consonants. It segments into two words: k, th. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

14.22s
Total Load Time
32
HTTP Requests
3
Domains
2.1 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-SE
Text Length:6,334 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
97%
government public service
81%
documentation technical
80%
forum community discussion
59%
education learning
49%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12194.71.70.100Jakobsberg, Stockholm County, Sweden
AS197942Forsakringskassan
10150.171.109.100United States
AS8075Microsoft Corporation
10130.237.28.40Stockholm, Stockholm County, Sweden
AS1653Vetenskapsradet / SUNET
323--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18E63C865E6F2747A425301B9AAB1675EBF82D507C94E7C80B5EC86C88FC3F979C23109

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6RZ6s9/khT5Nj4WdhqWyaIhZbke8rpuKUhikRSbz5gaoP:6RZf9/khT5CMUho+aoP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70620:QhSAAEZYnABFCDIGaEEQscLBjLAdOwIiLBNAlJIxGB4GAAGAiIKKmODYKGACQlgHyCo8JWfYZYGzBgEcmBQBqBAlzIKAIAAB

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:00c1c1f1f1f1ffe7
Perceptual Hash:eb4b164c4d856cb6
Difference Hash:650b070323230f0f
Wavelet Hash:0081c1f1d1f1ffc7
Color Hash:#40bf68

Scan History

Scan history not available

Unable to load historical scan data