Security Scan Report: studentportal.nackademin.se

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Submitted: Jan 15, 2026, 12:25:33 PMCompleted: Jan 15, 2026, 12:27:06 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 32 HTTP transactions. The main domain is studentportal.nackademin.se and was registered NaN years ago.

Submitted URL: https://studentportal.nackademin.se/login/index.php

AI Security Verdict

Low Risk

Confidence: 85%

4
Risk Score

Legitimate student portal login; hidden password field noted but overall low risk.

Risk Factors
Hidden password field not visible in screenshot
Safety Factors
Domain registered since 2003 (well‑established)
Domain belongs to the official Nackademin institution
No external domains or third‑party redirects
No payment fields or credential‑harvesting beyond standard login
Domain age information unavailable

Details

Page Title

studentportal.nackademin.se: Log in to the site

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(34%)

Domain Information

Domain 'studentportal.nackademin.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'studentportal'. The second-level label 'nackademin' is 10 characters long with 4 vowels and 6 consonants. Breaking it apart gives three words: nac, kad, emin. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://studentportal.nackademin.se/login/index.php

Page Load Overview

4.17s
Total Load Time
28
HTTP Requests
3
Domains
397 KB
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:594 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network34% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
34%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10216.58.206.74United States
AS15169GOOGLE
9142.250.185.195United States
94.210.214.205Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
283--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T134F2A3E764D80767E786C9C5B5072A19066AD287998C0854B6EC0BCC4FC3F8C96CF1BB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:uOI9EFPv/Y2zoDdXSFTZ1AJ/yzFDuELvjlQ1GO639uegLp0MVX17UHSJhqn9406A:uOI9ePoqoDdXS1ZY/yhDuELvjlQ1P63d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36514:AKBRCBgFR6RYCYFUAggCRdAIQFQcGuTLIHpiAwHqAACoGAmLAIAFGYBVFA8iyg2AMXYghMsLQEEAoZDkCtMAtUgHiURQBYeh

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:00ffffffff000000
Perceptual Hash:d3dd2626f3090c67
Difference Hash:c118101808d1d9d5
Wavelet Hash:00ffffffff000000
Color Hash:#ce79d2

Scan History

Scan history not available

Unable to load historical scan data