Security Scan Report: ellos.se

Redirected to:
https://www.ellos.se/
Site favicon
Submitted: Sep 23, 2026, 6:50:33 PMCompleted: Sep 23, 2026, 6:52:27 PMpubliccompleted

This website contacted 59 IPs in 6 countries across 42 domains to perform 457 HTTP transactions. The main domain is ellos.se and was registered 3 years 5 months ago.

Submitted URL: https://ellos.se

Effective URL:

https://www.ellos.se/
Redirected

The Cisco Umbrella rank of the primary domain is #549,713 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established Swedish e-commerce site with self-branding, no forms, no malware, and no content-level threat indicators. Generic third-party IP reputation match is not evidence against this page.

Safety Factors (5)
Well-established domain (1248 days old).
Self-branding detected: title/meta match the domain, indicating the site is presenting its own brand rather than impersonating another entity.
No credential, login, or payment forms present.
No Indicators of Compromise in page content, no YARA malware matches, no Safe Browsing or IDS phishing/malware alerts.
Legitimate e-commerce shopping classification with clear retailer content and standard site functionality.
Domain age information unavailable

Details

Page Title

Ellos.se - Kläder, skor, möbler & inredning online

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'ellos.se' is registered and has no subdomain. The core label 'ellos' covers 5 characters holding 2 vowels versus 3 consonants. It segments into 2 words: ello, s. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ellos.se

Page Load Overview

19.29s
Total Load Time
4.0 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:28,785 chars
Detector Agreement:80%

Website Classification

Primary Category

e-commerce shopping47% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
47%
blog personal website
26%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5118.244.18.85Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
791.208.174.139Sweden
AS199215Ellos AB
723.212.254.82Akamai · CDNMumbai, Maharashtra, India
AS20940Akamai International B.V.
723.53.42.250Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
718.244.18.101Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
718.244.18.96Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
718.244.18.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
723.212.254.73Akamai · CDNMumbai, Maharashtra, India
AS20940Akamai International B.V.
73.161.82.33Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
73.161.82.43Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
45759--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1389420AEA54485A33A2660C0D46153C5B1F0A98DBB5FD764FCBBC77836A6CB390341BC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:4/mFuTZV2bc+FwpstRrlFinghSLEqPkxMJ4le1Rol8Y/B23qkhVpoYgH0cNRsAc/:psN8la4RrBaV/e0cNRsAc7K+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:433110:auJNwqEAEjHJhW+JCBEAQKYAAgEBCEAKICEjaYAAPCYABK9XhpgMDSKIqSBmiEwIhBaAACWGCMTEiuBLASVCkgjZENAjAwAM

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:00000031ff01ffff
Perceptual Hash:bb44c23fc2a53bc4
Difference Hash:693131410d5b5b11
Wavelet Hash:000000efff01ffff
Color Hash:#1f8293

Scan History

Scan history not available

Unable to load historical scan data