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Security Scan Report: yogashalastockholm.se

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/8c1eb89d-f00f-4ed4-915b-c389fa61ac03Domain and IP registration (RDAP)/api/v1/rdap/8c1eb89d-f00f-4ed4-915b-c389fa61ac03How often this domain was scanned/api/v1/domain/stats/yogashalastockholm.seScan history for this domain/api/v1/domain/history/yogashalastockholm.se?limit=15
This website contacted 9 IPs in 3 countries across 7 domains to perform 28 HTTP transactions. The main domain is yogashalastockholm.se.

Submitted URL: https://yogashalastockholm.se

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Swedish yoga studio website on an 18-year-old domain. No forms, no impersonation, no malware or threat-intel hits. Safe to use.

Safety Factors (5)
Established domain age of 6737 days
Visible physical business addresses and contact email
No forms or credential/payment collection on page
No cross-origin credential exfiltration or suspicious JavaScript behavior
External resources are common infrastructure (fonts, CDN, booking/CRM service)
Domain age information unavailable

Details

Page Title

Yogashala Stockholm

Scan Type

public

Domain Name Analysis

The domain name 'yogashalastockholm.se' uses the Swedish country-code top-level domain (.se) without a subdomain. Its registrable label 'yogashalastockholm' stretches across 18 characters with six vowels and twelve consonants. Word splitting yields three words: yogas, hala, stockholm. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yogashalastockholm.se

Page Load Overview

8.58s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:930 chars
Detector Agreement:67%

Website Classification

Primary Category

corporate business64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
64%
technology software
40%
corporate
35%
finance banking
34%
blog personal website
29%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43.77.239.18Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
334.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
3216.150.1.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
352.222.206.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
393.188.2.53Sweden
AS39570Loopia AB
352.222.206.62Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
352.222.206.73Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
289--

Detected Technologies3

X-UA-Compatible
100%
WordPress
75%
Ubuntu
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169D52C46B3A4003E76030EB5DFF6A69DB29C710486228529FDBFA197D38B2690175FF4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

49152:3vGhHOL5Z4A/2mDuO4A/2mYyPfE4A/2mi4A/2mZyxV+662oaq6nDmxdu2qCFuKQ8:f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2857176:6wBEIRXghbVaKsOAeglTeEnMkQgAQBrSkIJCa4IAIjwIJAmQQZFKwAETNDQkEgAgFwEzIZQBCJZBiAIKjRtvMUCGA7UWhviC

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:06fefefefefeff81
Perceptual Hash:d51579157d155515
Difference Hash:8e0202020202002b
Wavelet Hash:06b2fefef0f0a081
Color Hash:#a0ac53

Other Hashes

Crop Resistant:8e0202020202002b

Scan History

Scan history not available

Unable to load historical scan data