ScanMalware.com

Security Scan Report: greenified.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/53973040-2e9d-4a01-a82f-60aec391faafDomain and IP registration (RDAP)/api/v1/rdap/53973040-2e9d-4a01-a82f-60aec391faafHow often this domain was scanned/api/v1/domain/stats/greenified.seScan history for this domain/api/v1/domain/history/greenified.se?limit=15
This website contacted 18 IPs in 2 countries across 13 domains to perform 141 HTTP transactions. The main domain is greenified.se.

Submitted URL: https://greenified.se

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate-looking circular furniture marketplace matching its own brand, with no credential/payment forms or malicious threat-intelligence findings.

Safety Factors (5)
Self-branding matches the registered domain.
No credential-harvesting or payment form.
No Indicators of Compromise, malware patterns, or malicious-kit matches.
Domain age is unknown but this is not evidence of wrongdoing.
IDS alerts are informational external-IP-lookup alerts, not phishing or malware alerts.
Domain age information unavailable

Details

Page Title

Greenified – En cirkulär möbelmarknad

Scan Type

public

Domain Name Analysis

Domain 'greenified.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The core label 'greenified' covers 10 characters containing five vowels alongside 5 consonants. Word splitting yields four words: green, if, i, ed. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://greenified.se

Page Load Overview

10.90s
Total Load Time
7.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:4,399 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical66% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
66%
corporate
35%
technology software
29%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22213.88.138.178Mantorp, Östergötland County, Sweden
AS1257Tele2 SWIPnet
713.33.50.206Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
7142.251.127.100Google · CDNUnited States
AS15169Google LLC
7104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.156.119Google · CDNUnited States
AS15169Google LLC
7172.217.113.4Google · CDNUnited States
AS15169Google LLC
7142.251.127.138Google · CDNUnited States
AS15169Google LLC
7104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.153.119Google · CDNUnited States
AS15169Google LLC
7213.88.138.179Mantorp, Östergötland County, Sweden
AS1257Tele2 SWIPnet
14118--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11EE3FA72A9E41823839246CAE869F70EE7B6D11BCD01CA9475FDD1885BE2DF1B85730C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:I+xcUXpdpZgCkYrVfD8pRk8lztORIWkL9kakEqkvOlldF9v7A+Lve+7MkpvZxxjR:HteLUg+PxjXdv+PT+/e8JkC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:145988:iJDCApBNRNAEARqsJISFQIqwxS1SeRBQLEW0AEw1CqEQATBJA5cXzgEGgAsoIC7AQAEgSh1UglTJhAQAAwigSAJ0EG0ICwkW

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:ff0200bdfff5f1ff
Perceptual Hash:e63195cd98ca4ea9
Difference Hash:caded56906454571
Wavelet Hash:7f02003cffa1e0be
Color Hash:N/A

Other Hashes

Crop Resistant:caded56906454571

Scan History

Scan history not available

Unable to load historical scan data