Security Scan Report: liseberg.se

Redirected to:
https://boka.liseberg.se/paket/2661827/halloween-i-kaninlandet-%E2%80%...
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Submitted: Completed: publiccompleted
This website contacted 67 IPs in 7 countries across 49 domains to perform 292 HTTP transactions. The main domain is liseberg.se.

Submitted URL: https://liseberg.se

Effective URL:
https://boka.liseberg.se/paket/2661827/halloween-i-kaninlandet-%E2%80%...
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Official-looking Liseberg (Swedish amusement park) package booking page on its own domain and booking subdomain. Self-branding, no forms, no credential/payment capture, no threat-intel or malware signals. Legitimate.

Safety Factors (5)
Title, Open Graph title and page copy match the domain's own brand (self-branding)
Zero forms and zero credential/payment fields on the page
No Indicators of Compromise, no YARA malware, no Safe Browsing or phishing/malware IDS hits
Cross-origin requests go to known analytics/error-tracking services (imbox, doubleclick, google analytics, nr-data) — normal for a large commercial site
Consistent corporate contact details, booking terms and cancellation policy typical of a real operator
Domain age information unavailable

Details

Page Title

Liseberg.se | Halloween i Kaninlandet – boende, Entré och Åkpass Kanin

Scan Type

public

Domain Name Analysis

The domain 'liseberg.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. Count 8 characters in 'liseberg' with 3 vowels and 5 consonants. Segmentation suggests 2 words: lise, berg. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://liseberg.se

Page Load Overview

7.05s
Total Load Time
11.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:4,770 chars
Detector Agreement:50%

Website Classification

Primary Category

entertainment media99% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
99%
travel tourism
86%
blog personal website
75%
government public service
42%
technology software
40%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
28172.66.144.74Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
496.45.83.107United States
AS16552Tiggee LLC
4151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
420.93.169.54Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
4104.18.36.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
4104.20.38.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.18.22.71Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
29267--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF845C9021D9043A4223828D55593F58B2EFD167D2AA999CBFEF8721CFC3DD59C0B12E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VofxmFaFM1/LiI0CwTX5UiUTjMQ21/Mn/CGVzA:VoYFaFM1/LiYLJs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:377569:CDEkQEAJA/IBgpTMEIpK5D6YEkjBgQ8CUhKAEWwA6OFy1d8G6SsAQXAwMQgrIJU4BKIzCFwAoDFCcAggApZhRgQJCAkUkdh4

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:e7c3bdbdbc3c0000
Perceptual Hash:cfb027d8c31bcc61
Difference Hash:8c0e237171316961
Wavelet Hash:ffc3bdbcbc3c0000
Color Hash:#4c783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data