Security Scan Report: www.skolfi.se

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Submitted: Jun 12, 2026, 8:07:30 PMCompleted: Jun 12, 2026, 8:07:58 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is skolfi.se and was registered NaN years ago.

Submitted URL: https://www.skolfi.se

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Site appears legitimate with low risk; no phishing, credential harvesting, or malware indicators detected.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
Safety Factors
Long‑standing domain registration
Absence of credential‑stealing forms
No malicious network or IDS alerts
Domain age information unavailable

Details

Page Title

Start | Skolforskningsinstitutet | undervisning på vetenskaplig grund

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

corporate

(70%)

Domain Information

You're looking at domain 'www.skolfi.se' on the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The core label 'skolfi' covers 6 characters with two vowels and 4 consonants. Breaking it apart gives two words: skol, fi. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.skolfi.se

Page Load Overview

1.56s
Total Load Time
57
HTTP Requests
4
Domains
1.1 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-SV
Text Length:13,459 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5791.201.60.2Sweden
AS44136ODERLAND Webbhotell AB
571--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F44F9F29865613A3A2BCB9835DADB49F3275080DE022F64F3FD1198CBC97D81879647

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:gqrHMMxXLjrMcxXzalgbVybVtbVpsM1tzPWom48B:FMMxPrMcxXzalgbVybVtbVt1tI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:278235:ICIlide2VxAMxkCAIhCUjGxLKmhwASMADHFG3YMwspCEQgoATLgABACUDoSAgpgOiIg6SI6AEEBESxKBbm8gCMUhAElwKlDZ

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:ff00000062ffffff
Perceptual Hash:844ebed194eab7c0
Difference Hash:26e7c7cdd4ca311e
Wavelet Hash:ff00000000ffffff
Color Hash:#503a78

Other Hashes

Scan History

Scan history not available

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