Security Scan Report: www.sellpy.se

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Submitted: Nov 25, 2025, 2:45:06 AMCompleted: Nov 25, 2025, 2:49:32 AMpubliccompleted
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Summary

This website contacted 70 IPs in 4 countries across 18 domains to perform 157 HTTP transactions. The main domain is sellpy.se and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
Legitimate brand presence
Only a newsletter/email field (no credential harvesting)
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Sellpy – To better use | Handla second hand online enkelt på sellpy.se

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain name 'www.sellpy.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. The registrable portion 'sellpy' spans 6 characters with one vowel and five consonants. Breaking it apart gives two words: sell, py. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.84s
Total Load Time
157
HTTP Requests
18
Domains
3.4 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:6,519 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
673.33.186.135United States
AS16509AMAZON-02
1818.245.86.96United States
AS16509AMAZON-02
1713.32.121.86New York, New York, United States
AS16509AMAZON-02
754.73.53.134Dublin, Leinster, Ireland
AS16509AMAZON-02
754.192.35.110United States
AS16509AMAZON-02
6184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
318.233.136.37Ashburn, Virginia, United States
AS14618AMAZON-AES
33.174.46.92United States
AS16509AMAZON-02
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
218.245.86.78United States
AS16509AMAZON-02
15770--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DBF3965081503C2F023776DDB261679EF096920FC6DA0CE4B2FA07E6A7DFE7466816C6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:kFDybEsFOT0E4tf53HL1HAo/UgORT+J8OFD+mnTn/KD7CHI/O/8J4JDOwcWJepYS:klsFd3HL1HAJCxHQd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:171828:QEFMKRCzEmK4wcEAEidAFVWSAVcIBgAABC7IcgVKQCJzYQ2IjjCMwEIaIYnTEQ0ARDRAKiEwgUCC2FJAJCnEcIGHASxOgKqi

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:ff810181c1ffffff
Perceptual Hash:fa0f85c4f00f87f0
Difference Hash:4d19591b9b951196
Wavelet Hash:85000180c1ffffff
Color Hash:#3a784a

Scan History

Scan history not available

Unable to load historical scan data