Security Scan Report: www.gu.se

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Submitted: Jun 1, 2026, 5:36:11 PMCompleted: Jun 1, 2026, 5:37:45 PMpubliccompleted
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Summary

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

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

The Cisco Umbrella rank of the primary domain is #354,958 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

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

Safety Factors
Long‑standing domain
Educational institution
No malicious scripts or redirects
No credential or payment forms
Domain age information unavailable

Details

Page Title

Hem | Göteborgs universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(48%)

Domain Information

Domain 'www.gu.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. The core label 'gu' covers 2 characters split between 1 vowel and 1 consonant. Tokenizing the label suggests 1 word: gu. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.65s
Total Load Time
51
HTTP Requests
8
Domains
2.0 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:6,758 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
48%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
26130.241.39.203Gothenburg, Västra Götaland County, Sweden
AS2842Goteborgs universitet
25184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
512--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17E54F93545946737C282C1EDFB66A678E28D9083D1AB4384B2DC97500FE3CC6EBAE45D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Z5Kl5KEbBxCygdlKVqen/9aBWyUrM++0mUVkFpo4B5b3le2JzW+yTLkc/TPdsgq1:4rCcrB+0mLe2Jy+h3gCQdRkgsEHEn3XD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:305810:MoRqAAAEEARAJvAjCSCSInaCHCdSBjHEAeGPEpGFgJQCuUjQMhlnV0EIEECdjYM0bAixgIAIBOKI1QAoSSAElU2gSxJCDBHE

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:7e7e7c40407e7e7e
Perceptual Hash:d05e87a56d34974a
Difference Hash:f8e4acaca29c9e82
Wavelet Hash:7e3e5400406e7e7e
Color Hash:#8796c5

Scan History

Scan history not available

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