Security Scan Report: www.essgroup.se

Site favicon
Submitted: Oct 26, 2025, 5:21:34 PMCompleted: Oct 26, 2025, 5:25:37 PMpubliccompleted
Loading additional data...

Summary

This website contacted 26 IPs in 2 countries across 9 domains to perform 208 HTTP transactions. The main domain is essgroup.se and was registered NaN years ago.

Submitted URL: https://www.essgroup.se/julklappen/?utm_source=braze&utm_medium=email&utm_campaign=julklappen_2025&utm_content=TidigareJK_NB_B2C_SE_Y25_W43_JK-FAS1&lid=44jb2gq5qy42

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Final URL matches the displayed brand (ESS Group)
No credential or payment collection forms
Only standard cookie consent banner present
Domain age information unavailable

Details

Page Title

Den perfekta julklappen | ESS Group®

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

malicious

(31%)

Domain Information

The domain 'www.essgroup.se' uses the Swedish country-code top-level domain (.se) and includes subdomain 'www'. The second-level label 'essgroup' is 8 characters long with three vowels and 5 consonants. Segmentation suggests 2 words: ess, group. Median word length comes out to 4 characters. 'esse' most often appears in Portuguese (Brazil). Usage also turns up in English and Norwegian contexts.

Screenshot

Security scan screenshot of https://www.essgroup.se/julklappen/?utm_source=braze&utm_medium=email&utm_campaign=julklappen_2025&utm_content=TidigareJK_NB_B2C_SE_Y25_W43_JK-FAS1&lid=44jb2gq5qy42

Page Load Overview

2.72s
Total Load Time
208
HTTP Requests
9
Domains
5.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:26,538 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious31% confidence
Type: webapp
Method: ml+structural

All Detected Categories

malicious
31%
e-commerce
28%
news/blog
20%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
148162.159.135.42United States
AS13335CLOUDFLARENET
9142.250.185.163United States
AS15169GOOGLE
8142.250.186.170United States
AS15169GOOGLE
8184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
82a02:26f0:7100:8a0::f09Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
823.50.131.159Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
82a02:26f0:3500:8::210:a48Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
823.50.131.141Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
20826--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4848532B040502F536B8EF4D145BF0EB0E386C9EAC312C46599E3BA76EAE1BD974355

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:FYDjmJjUsjsK4vk2/0VegTRTwwEVrtgKW/qg+OVZw770Nqs5cWNuu7pNq+y8jNqv:6gIsjsKyqFZw77Eca7A8meU2cICTyQtt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:385562:EBAFsIsoQFhABQfEAEQkgcAkjkAJBhCAATAR0jCThFAuTY+ACZxDcZMqABYEBBw7tDEEgAWEASA0GiQVQNgSghouhAHISBKA

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:00003c3c3c3c0000
Perceptual Hash:cf1231649b1bcf23
Difference Hash:6086696161618b63
Wavelet Hash:00003c3c3c7cfbff
Color Hash:#5391ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data