Security Scan Report: skatteverket.ax

Redirected to:
https://www.vero.fi/sv/privatpersoner/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 4 countries across 7 domains to perform 19 HTTP transactions. The main domain is skatteverket.ax.

Submitted URL: https://skatteverket.ax

Effective URL:
https://www.vero.fi/sv/privatpersoner/
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Redirect from skatteverket.ax lands on the official Finnish Tax Administration site www.vero.fi, serving genuine Swedish-language taxpayer guidance with no credential or payment forms and no threat-intel, hunting rule or IDS hits.

Safety Factors (4)
Cross-domain redirect terminates on the brand owner's established domain (vero.fi), which settles the brand question — this is a redirect, not impersonation.
No credential or payment forms on the page; all forms are search or chatbot inputs.
No Indicators of Compromise, hunting rule, IDS, or Safe Browsing evidence against the rendered page.
Content matches a government public-service site (classifier: government public service, 84%).
Domain age information unavailable

Details

Page Title

Privatpersoner - vero.fi

Scan Type

public

Domain Name Analysis

You're looking at domain 'skatteverket.ax' on the .ax country-code top-level domain with no subdomain. The second-level label 'skatteverket' is 12 characters long holding 4 vowels versus eight consonants. Breaking it apart gives four words: ska, tt, ever, ket. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://skatteverket.ax

Page Load Overview

1.76s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:4,663 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service84% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
84%
real estate property
75%
finance banking
74%
blog personal website
65%
phishing scam
51%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
320.73.147.28Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
23.40.134.50Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2108.138.7.97Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2150.171.109.100Azure · CLOUDUnited States
AS8075Microsoft Corporation
23.121.103.54Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
220.50.88.232Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
23.40.134.54Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2108.138.7.28Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.57.99.99Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
199--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1342CF16925343D706B077D72AB620D932AB013EF15A9E5F65C86708BC7CD3A623B09

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:SvUjhqHZ+o1TWb6Xv5ncwjwA1vPlBUplN+DCr6Wq21Ii3GYJJpvz1fFeXEmSV4c5:SvUjhqHZ+o1TWb6Xv5ncwjwA1vPlBUpN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:252672:BpNSkl4bjSpIFygBSUJSA7ELCFKyBILiPhceihLMlAolAIgCoaBFARBGYACIKBAJtgyXBAoCLAiipSS3No5VGmwTApIApB5i

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:40ff200000ffffff
Perceptual Hash:c34afdad544bd320
Difference Hash:9626c8e0e05a520c
Wavelet Hash:40ff000000fffffe
Color Hash:06600008400

Scan History

Scan history not available

Unable to load historical scan data