Security Scan Report: www.studentum.se

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 19 domains to perform 72 HTTP transactions. The main domain is studentum.se and was registered 22 years ago.

Submitted URL: https://www.studentum.se/skola/john-ericsson-institutet/?educationTypeId=349&utm_campaign=nyhetsbrev-kortayh-20augusti&utm_medium=email&utm_source=user.com#Educations

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site is a legitimate educational page with low risk; no phishing or malware indicators detected.

Risk Factors (1)
High JavaScript obfuscation score (CRITICAL) – typical for minified/webpack code
Safety Factors (4)
Domain age >10 years
Self‑branding matches domain (studentum.se)
Forms are interest/registration only, no password fields
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

John Ericsson Institutet

Scan Type

public

Domain Name Analysis

The domain name 'www.studentum.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. Its registrable label 'studentum' stretches across 9 characters with 3 vowels and six consonants. Segmentation suggests 2 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/?educationTypeId=349&utm_campaign=nyhetsbrev-kortayh-20augusti&utm_medium=email&utm_source=user.com#Educations

Page Load Overview

3.31s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:19,689 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software62% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
62%
education learning
59%
healthcare medical
57%
documentation technical
52%
government public service
44%

Detected Features

Search
Comments
OG: Website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9195.181.170.19Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
9104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9192.178.183.97Google · CDNUnited States
AS15169Google LLC
93.161.82.124Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9142.250.154.94Google · CDNUnited States
AS15169Google LLC
9146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
918.66.112.107Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
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Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A994DD5078F4593E5E3750D160F8AA2B29DDF297F44609C832BC6EB60F96EA0B43791C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4h5VUOR2o2O0jKgA/Z94B38ej/Roi/kohKSiNc2el2e8TX:EUOR2o2O0jWf4B3vhDiNc2el2ea

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:435047:esANIkZQAAIgXaOVAgAIhdlSQkGANKNiAaLGgEoCwFVAQCHoiQCAC5GSJRWggiSAv4ACAWiWSjSAu0SMIAQMQLBKKgUAEBiH

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:cfc3dbdbcbc3cfe7
Perceptual Hash:b1cc338cb3ccc3c9
Difference Hash:16163212121e1e4a
Wavelet Hash:cbc3c3c3c3c3c362
Color Hash:#3a4478

Other Hashes

Crop Resistant:16163212121e1e4a

Scan History

Scan history not available

Unable to load historical scan data