Security Scan Report: www.lu.se

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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 2 countries across 4 domains to perform 60 HTTP transactions. The main domain is lu.se and was registered 41 years ago.

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

The Cisco Umbrella rank of the primary domain is #134,598 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors (4)
Well‑established domain registered since 1985
Low ranking does not indicate malicious activity for a known academic institution
No credential or payment forms present
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

Start | Lunds universitet

Scan Type

public

Domain Name Analysis

Domain 'www.lu.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. The core label 'lu' covers 2 characters with 1 vowel and 1 consonant. Word splitting yields 1 word: lu. No strong language cues emerged from the frequency lists.

Screenshot

“be Medatbetanvebbery 8 Lunds ‘universitets|webbplatéet? istart? ‘Studéra’ {Forsknirig! Samverkanoch'innevation | Om‘universitetet: “cookie =policy! ¢€ Den ‘nar: Webbplatsen anvander cookies for...

Page Load Overview

32.53s
Total Load Time
5.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:19,023 chars
Detector Agreement:80%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
OG: Article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
153.174.46.104United States
AS16509AMAZON-02
15130.235.138.12Lund, Skåne County, Sweden
AS2846Lund University
1513.226.244.100United States
AS16509AMAZON-02
15194.71.70.100Sundsvall, Västernorrland County, Sweden
AS197942Forsakringskassan
604--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18BA4A7A1D4F16137112399EDB2ED8B11BFCAC043C6466A52B1FE83588FD2E462D27D2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:79UalgbVybVtbVUFnepwgzSJk+RYdad1l:xUalgbVybVtbV0q6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:460532:RJyCNA3gBYCKw7oAgJIDQBCQAALKRhDcoXiPEAgS0AgkMOAmDTAEoazQiBfCQoARbIEAaAJwQ4gylckaQAkgFGUkJQCkEwFz

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:ffffe1e1c181c1c1
Perceptual Hash:eb969d3d326d1260
Difference Hash:37000b4f0f171303
Wavelet Hash:8bffe5e1c181c1c1
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data