Security Scan Report: www.sgi.se

Submitted: Jan 21, 2026, 2:07:11 AMCompleted: Jan 21, 2026, 2:08:28 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 18 HTTP transactions. The main domain is sgi.se and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site of Sweden's Geotechnical Institute; no security concerns detected.

Safety Factors
Established domain with long registration history
Absence of malicious Indicators of Compromise
No sensitive data collection forms
Official government institute branding
Domain age information unavailable

Details

Page Title

SGI - Statens geotekniska institut

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'www.sgi.se' uses the Swedish country-code top-level domain (.se); it also runs on subdomain 'www'. Its registrable label 'sgi' stretches across 3 characters holding one vowel versus 2 consonants. Segmentation suggests one word: sgi. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.24s
Total Load Time
56
HTTP Requests
7
Domains
1.7 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
Text Length:49,623 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1162.20.52.154Sweden
AS3301Telia Company AB
92.23.7.48Germany
9193.234.47.14Sweden
AS8473Bahnhof AB
9193.234.47.10Sweden
AS8473Bahnhof AB
9193.234.47.11Sweden
AS8473Bahnhof AB
923.56.205.206Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
566--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9D4855061F3393B0763E2F5A75957A3AFC58803C7CA5288B6FD8B682FD6D025877029

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:EW3cp/TABHFzIiJI3qBvLaAQW9G4nXmKQemKmHWCRBXT+NkGMAp1sfJiMdjyjWjb:EW3cp/MVKNt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:621658:pYgkNq4CCgASpMFhATKcBHkUJRAiCaQoDBhIzGJh5CgQsJAIEJSEAglIBawsEyWEAGkaFZCpjEoRSSg4hBQI6MzDQQp0OADy

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:ff000000000fffff
Perceptual Hash:aa69dbb585c19586
Difference Hash:6729c5d7af3d0149
Wavelet Hash:ff000001019fffff
Color Hash:#6cd22d

Scan History

Scan history not available

Unable to load historical scan data