Security Scan Report: vakaonline.se

Redirected to:
https://axema.se/en/hem-english/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 34 IPs in 4 countries across 23 domains to perform 219 HTTP transactions. The main domain is vakaonline.se.

Submitted URL: https://vakaonline.se

Effective URL:
https://axema.se/en/hem-english/
Redirected

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Legacy vakaonline.se redirects to Axema's own site (axema.se), a real access-control vendor. Self-branded content, no credential or payment forms, no threat-intel or malware signals. Benign.

Safety Factors (4)
Cross-domain redirect ends on the brand owner's own domain (axema.se), consistent with a domain move/rebrand
Content matches a real company: 30+ years stated in industry, physical addresses, phone, role-based e-mail addresses on the served domain
No credential or payment collection on the page
No threat-intelligence, malware, or network-IDS signals on the page or its resources
Domain age information unavailable

Details

Page Title

Home - Axema

Scan Type

public

Domain Name Analysis

Domain 'vakaonline.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The registrable portion 'vakaonline' spans 10 characters with five vowels and 5 consonants. Word splitting yields three words: vak, a, online. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

[Request for quotc img Technical documentation mgd =) Cuind Ehime canes oD com om eam QC Denna webbplats anvander cookies Denna webbplats anvander cookies for att forbaittra din anvandarupplevelse....

Page Load Overview

5.33s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:3,592 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical97% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
97%
real estate property
43%
technology software
42%
corporate
35%
news/blog
20%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21172.67.163.26Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.21.15.158Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6146.190.237.92Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
6142.251.20.97Google · CDNUnited States
AS15169Google LLC
6142.251.14.138Google · CDNUnited States
AS15169Google LLC
620.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
6150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
613.51.62.224Aws · CLOUDStockholm, Stockholm County, Sweden
AS16509Amazon.com, Inc.
664.227.77.67Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
6216.239.32.36Google · CDNUnited States
AS15169Google LLC
21934--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A14F822AE74D07DA11742ACA664E74CE1EDD253C609DD9D74ECB52C8F82BDA0C6360F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Ee1I6WHML95ySBe/qml6kcLAl0A3AwXAGG+du0NvXm9Bjp3GUjAKIRsFZWHxJvG7:oEHySBKzQ5h+du0c9BUvxCHrCX47tt

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:206848:KSKkAYMGAgTRJNATgDkxQQ5jcmoIgA6IoARAOSBepHgoQcaAEogIwAEVVGAvJUlWKJAEhRFMtQNUSANNrAaIggmgZQHjYksI

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:00003c3c3c3cffff
Perceptual Hash:cf7124029e9acadb
Difference Hash:3b06696969691d77
Wavelet Hash:00003c3c3c3cffff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data