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Security Scan Report: www.stockamollan.eu

Redirected to: https://stockamollan.eu/

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Submitted: Dec 2, 2025, 10:39:41 PMCompleted: Dec 2, 2025, 10:41:12 PMpubliccompleted
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Summary

This website contacted 37 IPs in 4 countries across 15 domains to perform 153 HTTP transactions. The main domain is stockamollan.eu.

Submitted URL: https://www.stockamollan.eu/

Effective URL: https://stockamollan.eu/Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Legitimate business content and branding
No suspicious forms or data collection
Domain not flagged by threat intelligence
Domain age information unavailable

Details

Page Title

Stockamöllan Möbler

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

blog personal website

(69%)

Domain Information

The domain 'www.stockamollan.eu' uses the .eu country-code top-level domain with subdomain 'www'. Its registrable label 'stockamollan' stretches across 12 characters with four vowels and 8 consonants. Word splitting yields 4 words: stock, a, moll, an. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.stockamollan.eu/

Page Load Overview

0.69s
Total Load Time
153
HTTP Requests
15
Domains
3.6 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:8,644 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website69% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
69%
adult content
67%
travel tourism
61%
education learning
60%
documentation technical
55%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
63172.67.132.217United States
AS13335CLOUDFLARENET
44104.21.5.30United States
AS13335CLOUDFLARENET
7146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
751.158.227.192Haarlem, North Holland, Netherlands
AS12876Scaleway S.a.s.
6142.250.184.195United States
AS15169GOOGLE
474.125.133.157United States
AS15169GOOGLE
4216.239.34.36United States
AS15169GOOGLE
42a00:1450:4001:829::2004Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a03:2880:f177:185:face:b00c:0:25deFrankfurt am Main, Hesse, Germany
AS32934FACEBOOK
42606:4700:3036::ac43:84d9United States
AS13335CLOUDFLARENET
15337--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B24F76283B52437025E42F4F27636ADAEDB8147E54D0294F2BDC69C9F81EF318A358D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xExWMktTkokpckBLkvB8kfoAewR1w95mP/UbMbF1/wmOQ43mW1clg7zmtLnd31AC:IA1vSYd2nqbC8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:219072:Fdi4IGYChcioAWUqBwliAmFCgJJAgLlgaTQzosE5DiEg4gDsRMIpe6IBA3lIRAChP2IwAFASECghUUHIAIOVUIrKUBySzARq

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:ffff00001c000000
Perceptual Hash:aab5e9d23f2a3c40
Difference Hash:4a4f176d7cf9c143
Wavelet Hash:ffff01033efc2001
Color Hash:#5d3a78

Other Hashes

Crop Resistant:4a4f176d7cf9c143,94d4dc4af2d2c2d2,868b6b56344cc5cb,94c4718c2ab6531e,889a711993b0f371,966e6c5ce8e14373

Scan History

Scan history not available

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