Security Scan Report: www.studentum.se

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Submitted: Mar 3, 2026, 7:57:01 AMCompleted: Mar 3, 2026, 7:58:44 AMpubliccompleted
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Summary

This website contacted 29 IPs in 3 countries across 21 domains to perform 81 HTTP transactions. The main domain is studentum.se and was registered NaN years ago.

Submitted URL: https://www.studentum.se/skola/john-ericsson-institutet/?utm_campaign=nyhetsbrev-mars-2026&utm_medium=email&utm_source=user.com

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate educational site with no security concerns.

Safety Factors
Well‑established domain
No credential or payment collection
No malicious Indicators of Compromise
No suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

John Ericsson Institutet

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

forum

(70%)

Domain Information

The domain name 'www.studentum.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The second-level label 'studentum' is 9 characters long split between three vowels and 6 consonants. Word splitting yields two words: student, um. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.studentum.se/skola/john-ericsson-institutet/?utm_campaign=nyhetsbrev-mars-2026&utm_medium=email&utm_source=user.com

Page Load Overview

3.15s
Total Load Time
81
HTTP Requests
21
Domains
1.4 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:19,288 chars
Detector Agreement:80%

Website Classification

Primary Category

forum70% confidence
Type: spa
Method: structural

All Detected Categories

forum
70%
corporate
70%
social_media
50%

Detected Features

Search
Comments
OG: Website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
253.161.82.77United States
AS16509Amazon.com, Inc.
252.208.246.127Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
254.155.203.129Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
246.22.41.108Germany
AS61157PlusServer GmbH
2146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2172.64.147.188United States
AS13335Cloudflare, Inc.
2142.251.140.174United States
AS15169Google LLC
2142.250.201.170United States
AS15169Google LLC
279.127.216.204Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2142.250.201.72United States
AS15169Google LLC
8129--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17B94DC5079F4693E5E3750D161E8AE2B29DDF287F44209C832BC6EB60F95EA0B43791C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:mh2ebOfWozaVlbgLc6d23Cl8hbb0URSCDkohKy2OAETb:mbOfWozaVl2d23Cl8hXf72OAc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:442035:ADEMhUEERESiJUVRNMQCnLAACeQeCBgpzEDMoYYgSPChCOOBngBT1JIDAIJQQoiQQiAByY6QBQRgSIiAAq4YZIsTovSMBThk

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:bd7cefe7e3e3e3f1
Perceptual Hash:e5924e6d9a6699a4
Difference Hash:69599acd12124623
Wavelet Hash:bd004161e3e3e3f9
Color Hash:#6ce0dc

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data