Security Scan Report: www.academiccomputerclub.se

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Submitted: Sep 24, 2026, 5:20:12 AMCompleted: Sep 24, 2026, 5:20:49 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Legitimate academic computer club (ACC in Umeå) with self-branded content, no forms, and no threat indicators. Unknown domain age is a neutral signal; no risk factors present.

Safety Factors (4)
Domain name matches displayed brand (self-branding, not impersonation)
No credential-harvesting or payment forms present
No threat-intelligence matches or malware patterns
Content consistent with a long-standing academic computer club (last changed 2024)
Domain age information unavailable

Details

Page Title

Academic Computer Club in Umeå

Scan Type

public

Domain Name Analysis

The domain 'www.academiccomputerclub.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. Its registrable label 'academiccomputerclub' stretches across 20 characters split between 8 vowels and twelve consonants. Word splitting yields three words: academic, computer, club. Median word length is eight characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

3.21s
Total Load Time
23 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,267 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7130.239.18.177Umeå, Västerbotten County, Sweden
AS2833Umea University
71--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10EF0B35C8C588C020292D770E6E2F0286C800C7AE2C19CCCFCC0001A4DE87ECDCA321A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:6Dn8FQiowadCc4svmzwzhqIYAk6QcjWR0iYmROZCGAfAbplgEVGZQi4bvX+UAJmg:6DnMQbwuORAk6QclPrpnVGulb/OJmIOG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:876b2773a8e8e6f89ede34f71d514e4a

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:6324001f0f0f7fff
Perceptual Hash:8022e721ece5397f
Difference Hash:8e8ddcecb4d8ac01
Wavelet Hash:63000f070f0f76ff
Color Hash:#b0bf40

Other Hashes

Crop Resistant:8e8ddcecb4d8ac01

Scan History

Scan history not available

Unable to load historical scan data