Security Scan Report: www.lu.se

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Submitted: Jan 15, 2026, 2:25:27 PMCompleted: Jan 15, 2026, 2:27:12 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 1 HTTP transaction. The main domain is lu.se and was registered NaN 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: 96%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Established domain with decades of registration
Official Lund University brand
No suspicious forms or data collection
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Start | Lunds universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'www.lu.se' on the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The core label 'lu' covers 2 characters split between 1 vowel and one consonant. It segments into 1 word: lu. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.03s
Total Load Time
60
HTTP Requests
4
Domains
5.7 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:18,987 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
1513.226.244.11United States
AS16509AMAZON-02
15130.235.138.12Lund, Skåne County, Sweden
AS2846Lund University
15194.71.70.100Sundsvall, Västernorrland County, Sweden
AS197942Forsakringskassan
153.174.46.32SwedenUnknown
604--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181A4A7A1D4F16137112399EDB2ED8B11BFCAC043C6466A52B1FE83588FD2E462D27D2D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:LzUalgbVybVtbVPzFnepwgzSJk+RYEla81l:PUalgbVybVtbVJqG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:460536:AsAUgHURFQ5lEgS0o+UEYRSog2CgACMTgktmUAmACCKJMAMYaCAEykqQUajBJAQwDVeMgcrAAAQDqRDDIyIcSi4IaEfJK0op

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:#2d5b86

Scan History

Scan history not available

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