Security Scan Report: destinationsvemester.se

Redirected to:
https://www.destinationsvemester.com/
Site favicon
Submitted: Sep 25, 2026, 3:40:12 AMCompleted: Sep 25, 2026, 3:41:14 AMpubliccompleted

This website contacted 17 IPs in 2 countries across 15 domains to perform 115 HTTP transactions. The main domain is destinationsvemester.com and was registered 18 years ago.

Submitted URL: https://destinationsvemester.se

Effective URL:

https://www.destinationsvemester.com/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Swedish travel blog with self-branded content, no login/payment forms, and no Indicators of Compromise or malware signals. Nothing malicious observed; low risk.

Risk Factors (2)
eval() calls present (5) — dynamic code execution, but typical of WordPress/plugin bundles with no network sink detected
Final .com domain is unranked with no published registration date (entry .se age does not apply to it)
Safety Factors (4)
Self-branding: title/meta match the domain; no impersonation of any other entity
No credential or payment collection anywhere on the page
Legitimate editorial travel content with dated articles (2023)
No threat-intelligence, YARA, or IDS hits
Domain age information unavailable

Details

Page Title

Destination Svemester -

Scan Type

public

Domain Name Analysis

You're looking at domain 'destinationsvemester.se' on the Swedish country-code top-level domain (.se) and has no subdomain. The registrable portion 'destinationsvemester' spans 20 characters split between 8 vowels and twelve consonants. Tokenizing the label suggests 3 words: destinations, vem, ester. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://destinationsvemester.se

Page Load Overview

9.10s
Total Load Time
2.6 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:4,709 chars
Detector Agreement:75%

Website Classification

Primary Category

travel tourism40% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

travel tourism
40%
corporate
35%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1977.111.240.173Copenhagen, Capital Region, Denmark
AS51468One.com A/S
6195.47.247.18Denmark
AS51468One.com A/S
6195.47.247.16Denmark
AS51468One.com A/S
6192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
6142.251.14.95Google · CDNUnited States
AS15169Google LLC
6192.178.183.155Google · CDNUnited States
AS15169Google LLC
6142.250.154.97Google · CDNUnited States
AS15169Google LLC
6192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
6192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
6192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
11517--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C293D661A7A0157A367B537CE8DAF218665C8613D64E63F6F4FDC19C81C8BA700B270E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:dV3xEp0k8PcnnAln5COk0vTNGWeHxOojZdapkfjr1hA:dynAlnsrWeHx3apkS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89928:AwGkAyPgugMAKA5YwETzDIIFIBAligEQQCgQgBWKFYABQLWDEhgF0IGsWgEckINcQsYiJoPDAAYAWIZGQDEPAkAYsIiFZx8h

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:fffcf8b818001800
Perceptual Hash:caf6a4ad8e9873c0
Difference Hash:22c00131e193f3e1
Wavelet Hash:fffffcf838001800
Color Hash:#5b2d86

Scan History

Scan history not available

Unable to load historical scan data