Security Scan Report: kursloggen.se

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Submitted: Oct 2, 2026, 11:40:13 AMCompleted: Oct 2, 2026, 11:40:53 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Self-branded Swedish education login site with an ordinary same-origin email/password form. No impersonation, no Indicators of Compromise, no malware — but unknown domain age and no reputation warrant caution.

Risk Factors (1)
Login form collecting email + password on a domain with no published creation date and no reputation ranking
Safety Factors (5)
Self-branding matches the registered domain — no brand impersonation
No threat-intelligence, YARA, IDS or Safe Browsing hits
All scripts served from the site's own domain; no third-party or cross-origin resource loads
No payment fields and no credential exfiltration behaviour
Content classifies as education/learning (92%), consistent with a course-planning portal
Domain age information unavailable

Details

Page Title

Education planner

Scan Type

public

Domain Name Analysis

The domain name 'kursloggen.se' uses the Swedish country-code top-level domain (.se). Count 10 characters in 'kursloggen' with 3 vowels and 7 consonants. Segmentation suggests three words: kur, slog, gen. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kursloggen.se

Page Load Overview

1.09s
Total Load Time
579 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:88 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as sv

Website Classification

Primary Category

education learning92% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education learning
92%
government public service
34%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5194.237.185.109Umeå, Västerbotten County, Sweden
AS3301Telia Company AB
51--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17752985518D32900DA0B87713BDFD6196128D043DA5BDC957BCD220C8FCB74CAEE2BAA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:caOAP/edOigQUc1UlMn4wipn4wfipJrt2QtpDKzHr/9ZPssRA80u2tPz40KeQgeO:8AoOqUxJnIWtKMe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13736:DAAYgVAEQCKBZQRCMBDEYGGTUC0hYCSQLQIMBhiTkoNJRSxoiBoAgB1ADFHPQmtAAhcWNlKwOEgAMAIgKIhEAksIxGAliMfG

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:00003c3c3c3c0000
Perceptual Hash:cc65339e66639964
Difference Hash:000c306070700c20
Wavelet Hash:00003c3c3c3c0000
Color Hash:#8f6ce0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data