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Security Scan Report: enebybilochgummi.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/6dc554c5-70b2-430e-9db3-810ba4edcf72Domain and IP registration (RDAP)/api/v1/rdap/6dc554c5-70b2-430e-9db3-810ba4edcf72How often this domain was scanned/api/v1/domain/stats/enebybilochgummi.seScan history for this domain/api/v1/domain/history/enebybilochgummi.se?limit=15
This website contacted 11 IPs in 3 countries across 11 domains to perform 61 HTTP transactions. The main domain is enebybilochgummi.se.

Submitted URL: https://enebybilochgummi.se

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Established Swedish auto/tire business site with self-branding, no forms, and no threat-intel or malware signals. No evidence of phishing, impersonation, or other malicious activity.

Safety Factors (5)
Established domain over 7 years old
Self-branding matches the domain
No credential or payment forms
No Indicators of Compromise, YARA, IDS, or Safe Browsing hits
Cross-origin requests are limited to analytics, consent management, advertising, and a likely related business domain
Domain age information unavailable

Details

Page Title

enebybilochgummi.se

Scan Type

public

Domain Name Analysis

Domain 'enebybilochgummi.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label 'enebybilochgummi' stretches across 16 characters holding six vowels versus ten consonants. Tokenizing the label suggests 5 words: ene, by, bilo, ch, gummi. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enebybilochgummi.se

Page Load Overview

29.45s
Total Load Time
3.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Text Length:176 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11195.47.247.18Denmark
AS51468One.com A/S
5185.21.41.98Denmark
AS48854team.blue Denmark A/S
523.36.162.211Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.251.14.95Google · CDNUnited States
AS15169Google LLC
5104.26.13.204Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.250.154.97Google · CDNUnited States
AS15169Google LLC
5104.86.150.195Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
5142.251.13.94Google · CDNUnited States
AS15169Google LLC
5142.250.154.157Google · CDNUnited States
AS15169Google LLC
5142.250.154.155Google · CDNUnited States
AS15169Google LLC
6111--

Detected Technologies1

Varnish
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T197F0DCEB11521E54EA26A2C1ACE0711C5CAB603A27E8CEB118F03A39C24C161D4036EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hax6oMRIHD4dBgFjfd2XfK4oRbsj4xUcoME8iWi7hzMkkoME2JEkbrj:hahREKFY2R4jEoJ7l1koVkbrj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:df80aad0aea22e7b137ac4d44c6c25e5

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:021f7f1f07000000
Perceptual Hash:81bd5a523461697f
Difference Hash:9cfed2f6fecdc9c8
Wavelet Hash:063f7f7f1f270040
Color Hash:#d66ce0

Other Hashes

Crop Resistant:c599f9e9c6891105,b4a8889adadacbe3,73f6d6b2f2f3f3f3,dfce4d4959c7dd9d,f5f5f49c8c8c8cec,9cfed2f6feccc8c8

Scan History

Scan history not available

Unable to load historical scan data