Security Scan Report: www.forskarskattenamnden.se

Site favicon
Submitted: Jun 16, 2026, 10:42:46 PMCompleted: Jun 16, 2026, 10:43:08 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is forskarskattenamnden.se and was registered NaN years ago.

Submitted URL: https://www.forskarskattenamnden.se

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site shows no phishing, malware, or credential‑harvesting activity and appears legitimate.

Safety Factors
Established domain with long registration history
No malicious signals (IoC, YARA, IDS)
No credential collection or exfiltration
Self‑branding matches domain (government agency)
JavaScript obfuscation consistent with normal minification
Domain age information unavailable

Details

Page Title

Forskarskattenämnden - Forskarskattenämnden

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

government

(80%)

Domain Information

The domain name 'www.forskarskattenamnden.se' uses the Swedish country-code top-level domain (.se), featuring subdomain 'www'. Count 20 characters in 'forskarskattenamnden' containing 6 vowels alongside 14 consonants. Segmentation suggests seven words: for, s, kars, kat, ten, am, nden. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.forskarskattenamnden.se

Page Load Overview

2.19s
Total Load Time
33
HTTP Requests
1
Domains
240 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:946 chars
Detector Agreement:100%

Website Classification

Primary Category

government80% confidence
Type: spa
Method: structural

All Detected Categories

government
80%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33137.61.9.34Stockholm, Stockholm County, Sweden
AS15991Swedish Tax Agency
331--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10023C8614E60653F1077219AF9303B871579A008EF1E6C74B6FC82192FC3EAAFC5B695

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:RXDbSxpnFaZiW/WDKREGxunbCkhBIv+Iit1ziLFi/n1wR1epYh9Ls4lb0V2Opy4H:NDbSxpnFcx+QEGxubCkhBIv+Iit1ziLe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46588:Z0E4FsAHInlgZzUcTQBoAUbMS1ccECNAQOPiaAEQAhYCfWgxJm2IWAIQACskAiJYgGgyAA0EAE+CYAQwDkA2oM4KMLoEwASE

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:7d3d317979717171
Perceptual Hash:cb963649c1683ec7
Difference Hash:514943c3c3c3c3c3
Wavelet Hash:3d21397179717171
Color Hash:#8640bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data