Security Scan Report: parkingtime.se

Redirected to:
https://www.parkingtime.se/en
Submitted: Sep 28, 2026, 3:20:21 PMCompleted: Sep 28, 2026, 3:21:02 PMpubliccompleted

This website contacted 6 IPs in 3 countries across 7 domains to perform 89 HTTP transactions. The main domain is parkingtime.se and was registered 29 years ago.

Submitted URL: https://parkingtime.se

Effective URL:

https://www.parkingtime.se/en
Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established 5-year-old Swedish parking-app site showing its own brand, with no forms, no credential or payment capture, and no threat-intel or malware signals. Legitimate.

Safety Factors (5)
Established domain age (1,824 days) in the WELL_ESTABLISHED category
Physical business address and contact email ([email protected]) published
Self-branding consistent between title, meta tags, and domain
No forms, no credential harvesting, no payment capture
All JavaScript served from the site's own domain; only cross-origin call is Sanity CMS API (a common legitimate headless CMS)
Domain age information unavailable

Details

Page Title

Parking Time - den schyssta parkeringsappen, superenkel!

Scan Type

public

Domain Name Analysis

The domain name 'parkingtime.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label 'parkingtime' stretches across 11 characters split between four vowels and 7 consonants. Splitting it apart reveals 2 words: parking, time. Average segment length settles at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://parkingtime.se

Page Load Overview

5.56s
Total Load Time
19.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,098 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software76% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
76%
news media journalism
62%
government public service
61%
download file sharing
36%
documentation technical
33%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19188.126.83.135Stockholm, Stockholm County, Sweden
AS42708Glesys AB
1434.111.181.219Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1434.149.250.58Google · CDNKansas City, Missouri, United States
AS396982Google LLC
14157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
14100.22.133.0Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
14157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
896--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DB93C5A8D100D93BD9674DC83439AFB9E1969B36C3B64D58F39CC5A537E68B20B740E0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/uuuGHGqGPGuGpBKOHwiJ6pPmVfaiwCCZoKMbxOVCZoKMbxOVCZoKMbxOVCZoKMA:/VvKpPmVOzkD1fiJ/ZKyAJhSp4TX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93071:AYwCJANwTSC1AD4SjgCSRIkdnAEUEgKHEEgwAyBg6CCg4qEBIgABQQWcQE5O8EVIFkVAraa0OAJYBAwFQpJAa6T8IBwJAIhS

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:feffffe7e7ffff81
Perceptual Hash:f2954ab562b5c8a5
Difference Hash:0008000c0c000439
Wavelet Hash:0e0e1e06263efe00
Color Hash:#57ac53

Other Hashes

Crop Resistant:0008000c0c000439

Scan History

Scan history not available

Unable to load historical scan data