Security Scan Report: www.gu.se

Submitted: Nov 21, 2025, 3:34:26 PMCompleted: Nov 21, 2025, 3:37:15 PMpubliccompleted
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Summary

This website contacted 24 IPs in 3 countries across 8 domains to perform 64 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 appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration (established > 30 years)
No malicious Indicators of Compromise detected
No credential or payment collection fields
Domain age information unavailable

Details

Page Title

Hem | Göteborgs universitet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

education learning

(66%)

Domain Information

The domain name 'www.gu.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'www'. The core label 'gu' covers 2 characters containing 1 vowel alongside one consonant. It segments into 1 word: gu. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.26s
Total Load Time
64
HTTP Requests
8
Domains
2.5 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:6,924 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
66%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
42130.241.39.203Gothenburg, Västra Götaland County, Sweden
AS2842Goteborgs universitet
182.19.126.198Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1052.59.169.178Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
7184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22.19.126.225Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
218.158.80.209Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
2142.250.185.136United States
AS15169GOOGLE
22a02:26f0:7100::1720:ef50Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
22a06:98c1:3120::3United States
AS13335CLOUDFLARENET
2188.114.96.3United States
AS13335CLOUDFLARENET
6424--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD44B73556906737C182C1EDEF66A638A68D9083D0AB4785B2EC97500FE3CC5EBAF05D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:q5KpjwEbBxCygdlKVqen/9aBWMVkFpo4B5b3le2JzW+yTLkc/TPdsgqqfWhXwkWI:xrCse2Jy+h3gCQdR5osEITFnvQR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:274833:AArQcBBZANOCxUILGNBoAK4kGEdRbjBCIAKKE4QQoqIIMxT8LWzEphAgIEDQAgHtwsZhAMA8FgIWoOEksgA2AYuNF7DAgZBc

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:7e684040407e7e7e
Perceptual Hash:d06b87857cb496c6
Difference Hash:d29a8c94b09c8e92
Wavelet Hash:7e786040407e7e7e
Color Hash:#53ac5a

Scan History

Scan history not available

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