Security Scan Report: www.smaky.se

Redirected to: https://www.smaky.se/

Submitted: Mar 18, 2026, 11:50:48 AMCompleted: Mar 18, 2026, 11:52:09 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 104 HTTP transactions. The main domain is smaky.se and was registered NaN years ago.

Submitted URL: http://www.smaky.se/

Effective URL: https://www.smaky.se/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Legitimate business site; no threats detected.

Safety Factors
Well‑established domain with long registration history
Absence of password, email, or payment fields
No malicious Indicators of Compromise
Only benign third‑party services (Google Analytics, Google Fonts)
No network IDS alerts
Domain age information unavailable

Details

Page Title

SMAKY AB

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain 'www.smaky.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The second-level label 'smaky' is 5 characters long containing 1 vowel alongside 4 consonants. It segments into 2 words: sma, ky. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.smaky.se/

Page Load Overview

7.00s
Total Load Time
179
HTTP Requests
4
Domains
3.7 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-SE
Text Length:5,121 chars
Detector Agreement:67%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
47172.217.20.131Sweden
44216.239.36.178Sweden
44109.235.174.18Sweden
AS41528Loopia AB
44142.251.141.106SwedenUnknown
1794--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CE31A73A412103A617BA5DEE070779E67B7914AFA011ED8F3FA81AC97C4F973122249

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:RdP0k8m+CnbQQBmgn0yyoLoDc8Q/m3YXQRg5c/0X554diIq3VSL:RdR/Bm20yyoKbQ/6YFK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:153520:sgZAsYAhQGAN4ESUdYAEIUbItMQiwtEBYASACETERMtVqUwcKUBsgNaaTUgQktCANhuBS1TAyGYBgGIBQyDoD9CIKXsAOFIs

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:7e7e000008feffff
Perceptual Hash:c16e94996b26665b
Difference Hash:bab4c4cfd29ab68c
Wavelet Hash:7e1a0000087effff
Color Hash:#86552d

Scan History

Scan history not available

Unable to load historical scan data