ScanMalware.com

Security Scan Report: www.studentum.se

Site favicon
Submitted: Nov 4, 2025, 7:50:43 AMCompleted: Nov 4, 2025, 7:54:05 AMpubliccompleted
Loading additional data...

Summary

This website contacted 100 IPs in 4 countries across 22 domains to perform 82 HTTP transactions. The main domain is studentum.se and was registered NaN years ago.

Submitted URL: https://www.studentum.se/artiklar-tips/sa-far-du-csn-att-racka-langre-6713

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate site with no security threats detected.

Safety Factors
Well‑established domain (studentum.se) with long registration history
No suspicious forms or data collection
Content is informational and includes a legitimate contest offering Apple AirPods
Domain age information unavailable

Details

Page Title

Få ditt studiemedel att räcka månaden ut!

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

news/blog

(70%)

Domain Information

Domain 'www.studentum.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. The core label 'studentum' covers 9 characters split between 3 vowels and six consonants. Word splitting yields two words: student, um. The median word length lands at 4.5 characters. The linguistic tilt is Portuguese for 'um'. Usage also turns up in Portuguese (Brazil) and German contexts.

Screenshot

Security scan screenshot of https://www.studentum.se/artiklar-tips/sa-far-du-csn-att-racka-langre-6713

Page Load Overview

2.35s
Total Load Time
82
HTTP Requests
22
Domains
1.6 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:20,356 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
70%
corporate
70%
forum
40%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17172.64.147.188United States
AS13335CLOUDFLARENET
10142.250.181.227United States
AS15169GOOGLE
9104.16.78.6United States
AS13335CLOUDFLARENET
73.161.82.107United States
AS16509AMAZON-02
618.66.112.81United StatesUnknown
4216.239.32.36United States
AS15169GOOGLE
3142.250.181.232United States
AS15169GOOGLE
2195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2151.101.129.229San Francisco, California, United States
AS54113FASTLY
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
82100--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B884DE5078F45A3E5E3690D160F87A2B598DF297F4460AC832BC6EB60F59EE0B43791C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kh/pXluO46oNXIBxWSn+Huv7gZDQ/ICV1JPGo7YwEvEuK5J:kpVuO46oNXIBJ7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:379490:CKYBgqDY9gBJarSNAQoUINQagqJJKI1hEEChpkIJRbYRtYJBDnsSDGU4QABiEIGQgAAQUiZYoEBsAAxBwB2B0lRACAMUKACp

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:ffbdffe7cfcbc3c7
Perceptual Hash:b3ce32ce90e789a4
Difference Hash:69791a0d3b1a0e1e
Wavelet Hash:bf0ccbc38383c3c3
Color Hash:#d2d179

Other Hashes

Crop Resistant:69791a0d3b1a0e1e,0f2b29591b393525

Scan History

Scan history not available

Unable to load historical scan data