Security Scan Report: ultunastudentkar.se

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Submitted: Sep 27, 2026, 5:30:16 AMCompleted: Sep 27, 2026, 5:31:01 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate Swedish student union (Ultuna Studentkår, SLU Uppsala) on an 18-year-old self-branded domain with no forms, no impersonation and no threat-intel matches.

Safety Factors (5)
18-year-old established domain
Physical address and contact details published
No credential or payment forms
Self-branding consistent with domain (title/meta match)
Content classified as education/learning (96%) and community/government categories
Domain age information unavailable

Details

Page Title

ULTUNA STUDENTKÅR

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'ultunastudentkar.se' is registered with no subdomain. The registrable portion 'ultunastudentkar' spans 16 characters split between six vowels and ten consonants. Tokenizing the label suggests four words: ul, tuna, student, kar. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ultunastudentkar.se

Page Load Overview

9.97s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sv-SE
Text Length:5,458 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning96% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
96%
government public service
70%
forum community discussion
69%
blog personal website
61%
news/blog
20%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1891.123.202.130Karlskrona, Blekinge County, Sweden
AS42695Cleura AB
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3192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
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3142.251.13.94Google · CDNUnited States
AS15169Google LLC
9326--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176E34BB55278A87B1B6B93C8741AB2AC55C2E115EB0983F1F1FCC244A6C8B6358B361D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0TTx3/iaC8gsNeWd98wkJxvGjwAt0cKTpnRDm1:cTZa8FNQY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:150787:lCEiYaAMiIpsgICAxghZMQQTJF6R0UsopQgyQihmEApUDZgQRhxKgZDQYEgAPelwxOAAYNEICShAYMpQGVQU2QZBg4kxsmIJ

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:ff9c00efffffc7c7
Perceptual Hash:b24db2e5e1324b3a
Difference Hash:0831799b122e0d0f
Wavelet Hash:ff000008ffcfc787
Color Hash:#798ed2

Scan History

Scan history not available

Unable to load historical scan data