Security Scan Report: www.studentum.se

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Submitted: Feb 17, 2026, 8:36:23 AMCompleted: Feb 17, 2026, 8:37:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is studentum.se and was registered NaN years ago.

Submitted URL: https://www.studentum.se/yrkesguiden/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Domain is over 20 years old
No malicious Indicators of Compromise detected
No credential or payment collection forms
Standard hosting environment
Domain not flagged for phishing or malware
Domain age information unavailable

Details

Page Title

www.studentum.se

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(83%)

Domain Information

The domain name 'www.studentum.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. Count 9 characters in 'studentum' containing 3 vowels alongside 6 consonants. Splitting it apart reveals two words: student, um. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.studentum.se/yrkesguiden/

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
65%
adult content
53%
education learning
29%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
118.66.112.81United States
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T115048E773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:HfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszi2bMy8OldV:YhoC9JSqzzbs6o3Sj3gcrsO2eAr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184507:eOygEAQhAMCBTLBQAIA0jQlgFkQWXAgxBjMYAKwKQCIhQFQJAmAqlECQECILACEtQapADOVCQPCaQAUJAgA4I0lkoACgKRJX

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc673323
Difference Hash:00180c1400000000
Wavelet Hash:ffdfc3cf00000000
Color Hash:#e06cbf

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data