ScanMalware.com

Security Scan Report: sunlight.se

Redirected to:
https://www.sunlight.se/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0b835d9b-f29a-4881-aea8-8fd6b5e89c43Domain and IP registration (RDAP)/api/v1/rdap/0b835d9b-f29a-4881-aea8-8fd6b5e89c43How often this domain was scanned/api/v1/domain/stats/sunlight.seScan history for this domain/api/v1/domain/history/sunlight.se?limit=15
This website contacted 44 IPs in 3 countries across 29 domains to perform 326 HTTP transactions. The main domain is sunlight.se.

Submitted URL: https://sunlight.se

Effective URL:
https://www.sunlight.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Official Sunlight Hotell site in Nyköping, Sweden. Self-branded domain, no credential/payment forms, no malware or threat-intel hits. Normal legitimate hotel website.

Safety Factors (5)
Self-branding: site title and meta description match its own domain, no impersonation of another entity
No credential-harvesting or payment form present
No Indicators of Compromise, hunting rule, IDS or Safe Browsing hits
Physical address and contact details visible; established hotel with booking, sustainability and GDPR pages
Only standard cookie-consent and newsletter elements
Domain age information unavailable

Details

Page Title

Hotell i Nyköping - Sunlight Hotell - HOTELL, SPA & RESTAURANG

Scan Type

public

Domain Name Analysis

The domain name 'sunlight.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The second-level label 'sunlight' is 8 characters long with two vowels and 6 consonants. Splitting it apart reveals one word: sunlight. Average segment length settles at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sunlight.se

Page Load Overview

9.86s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:10,104 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software29% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
29%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2534.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
723.236.62.147Google · CDNCouncil Bluffs, Iowa, United States
AS396982Google LLC
7142.251.20.97Google · CDNUnited States
AS15169Google LLC
765.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
734.120.208.232Google · CDNKansas City, Missouri, United States
AS396982Google LLC
744.193.177.121Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
734.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7151.101.194.217Fastly · CDNUnited States
AS54113Fastly, Inc.
7104.18.18.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7104.18.23.56Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32644--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E9557E7166452C3C8A8F12DDBB93BE0E11956027DD86013AF9ED6E781FE39E81387316

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:I6jdz8YvhZrfeu63zbEhCScNndJmGxOQwPBD+T3w1bcE+6damVdO+POhO16PQReK:ZjdN1gDbEFcNy4F+o3w1G4H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1309404:ACoQ7kqARGLCUoBCPSAoBUTYhxYQEDKCAIGFBtACBVMgZ8rmCDBDCYaQBkiTygEctAEMwgIlEQhUoHaxIKnhBARAldoCgQCA

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data