Security Scan Report: www.gu.se

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Submitted: Jan 9, 2026, 12:12:22 AMCompleted: Jan 9, 2026, 12:14:40 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 1 HTTP transaction. 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: 98%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Official university domain (gu.se) with long registration history
No credential‑harvesting or payment collection mechanisms
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Hem | Göteborgs universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(47%)

Domain Information

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

Screenshot

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

Page Load Overview

41.22s
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:6,521 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
47%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
93.76.228.142United States
6184.24.77.144Germany
6142.251.140.168Sweden
6188.114.97.3United States
AS13335CLOUDFLARENET
6130.241.39.203Gothenburg, Västra Götaland County, Sweden
AS2842Goteborgs universitet
691.197.42.166Stockholm, Stockholm County, Sweden
AS48579ELASTX AB
691.197.42.154Stockholm, Stockholm County, Sweden
AS48579ELASTX AB
623.50.131.207UnknownUnknown
518--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19354E83545906737C282C1EDFB66A678E28D9083D1AB4385B2DC97500FE3CC6EBAE45D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:N5KlBiEbBxCygdlKVqen/9aBWyUrM++0mUVkFpo4B5b3le2JzW+yTLkc/TPdsgqH:YrCcrB+0mLe2Jy+h3gCQdRH1pE/Bx6pw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:301471:OWBBAXM8jkCgOPoCIADUpgBalhwJFQWIEYBACEJKASgJEFqOJVBxFMFipCABiAFggQAuiCF0kXIgsQbmah6LQF2QBQAQqOlB

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:7e584040407e7e7e
Perceptual Hash:d04897936ea595e6
Difference Hash:f0b0b2b2a6989a82
Wavelet Hash:7e584840407e7efe
Color Hash:#3a7378

Scan History

Scan history not available

Unable to load historical scan data