Security Scan Report: ladok.se

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Submitted: Sep 30, 2026, 10:20:42 PMCompleted: Sep 30, 2026, 10:21:38 PMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official Swedish Ladok student-administration portal on its genuine 14-year-old domain; self-branded, no forms or credential capture, and zero threat-intel, YARA, or IDS hits. Legitimate.

Safety Factors (5)
Well-established domain aged over 14 years
Self-branding consistent with its own domain, no brand impersonation
Zero credential, password, or payment forms on the scanned page
No Indicators of Compromise, YARA, IDS, or Safe Browsing hits
Legitimate Swedish educational consortium (Ladokkonsortiet) with official documentation and support pages
Domain age information unavailable

Details

Page Title

Ladok

Scan Type

public

Domain Name Analysis

The domain 'ladok.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. Count 5 characters in 'ladok' split between two vowels and three consonants. Word splitting yields two words: lado, k. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ladok.se

Page Load Overview

3.01s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:2,722 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical79% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
79%
technology software
71%
government public service
37%
blog personal website
29%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6130.239.8.115Umeå, Västerbotten County, Sweden
AS2833Umea University
5130.239.142.193Röbäck, Västerbotten County, Sweden
AS2833Umea University
5142.250.154.97Google · CDNUnited States
AS15169Google LLC
163--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E430832A19889BB268FC3DDD2A4B368B45FDD34D71B92E5B0F701305985DE60CA722D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:BWVZdypa+9RugbFbRl2VSzlJvAOuoViplH7tqJ+b0vLBWB:BoypX2SzlJvAOFV8lH7tqRWB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57323:KZE+gXEmBCDmYBQ5ASADBBNA7A0kEDSBGwaADk8l2KhoVBPZoQQIIFEDBcqmg6hBQCA1i8KjQHEgeTKjREliwYUI8gJABgkm

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:070101ffffffffff
Perceptual Hash:8b2328f4d4d6c5e9
Difference Hash:7f5ffbf154d4b9d3
Wavelet Hash:0000003cffffddf9
Color Hash:#785b3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data