Security Scan Report: seatsandsofas.nl

Redirected to:
https://www.seatsandsofas.nl/
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Submitted: Completed: publiccompleted
This website contacted 4 IPs in 3 countries across 23 domains to perform 216 HTTP transactions. The main domain is seatsandsofas.nl and was registered 23 years ago.

Submitted URL: https://seatsandsofas.nl

Effective URL:
https://www.seatsandsofas.nl/
Redirected

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Site hosts a login form on an old, self‑branded domain with no malicious indicators; classified as high risk due to credential capture potential.

Risk Factors (2)
Credential form on an unranked domain
Potential for credential harvesting
Domain age information unavailable

Details

Page Title

Bankstellen vanaf €164 | 49+ Megastores | Seats and Sofas

Scan Type

public

Domain Name Analysis

The domain 'seatsandsofas.nl' uses the Dutch country-code top-level domain (.nl) without a subdomain. The registrable portion 'seatsandsofas' spans 13 characters holding five vowels versus eight consonants. Segmentation suggests five words: seats, and, s, of, as. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://seatsandsofas.nl

Page Load Overview

8.64s
Total Load Time
6.6 MB
Total Size

Language Analysis

Primary Language

🇳🇱Dutch
Code: nl
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:nl-NL
Text Length:18,010 chars
Detector Agreement:60%

Website Classification

Primary Category

entertainment media97% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
97%
adult content
35%
news/blog
20%
forum
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5434.111.0.156Kansas City, Missouri, United States
AS396982Google LLC
54185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
54216.239.36.223United States
AS15169Google LLC
54213.206.208.107Boxmeer, North Brabant, Netherlands
AS9150ML Consultancy
2164--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18475E9A0A5B8D5A7C0A77D1EB3FD5E34DEC0542DC0630A806BF9D6C8838A87267F5B15

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:PZS3cZxkK/4CYiwlOIlKMa0k7UlgVqZiirthCsz3CMsx+S3cGrQGTkms2U5yM9V4:PsCszSMsxwwE7SEEPS2Wq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1589948:clpBRSISwTqiR4AcCzJHUIBIoPgCAhK0PLAAUYcYUchCEZWT4AkIIEY5AABg0BkDciSKOABAaqacA4pEhIpTRKooKV6kjuAA

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:ff00000000001e7e
Perceptual Hash:9e69962dc3bccb80
Difference Hash:22248101413138e8
Wavelet Hash:ff90010101019fff
Color Hash:#802d86

Other Hashes

Crop Resistant:22248101413138e8

Scan History

Scan history not available

Unable to load historical scan data