Security Scan Report: xn--vstberga-0za.se

Redirected to:
https://vastberga.fastpartner.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 16 IPs in 2 countries across 10 domains to perform 65 HTTP transactions. The main domain is xn--vstberga-0za.se.

Submitted URL: https://xn--vstberga-0za.se

Effective URL:
https://vastberga.fastpartner.se/
Redirected

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Legitimate Fastpartner corporate property page for Västberga Entré. No forms, credential collection, brand impersonation, or threat-intel/hunting rule/IDS signals. Final domain age is unknown, so rated LOW_RISK rather than LEGITIMATE.

Safety Factors (5)
Self-branding: the page identifies as Fastpartner and links to fastpartner.se
No credential or payment forms on the page
No threat-intelligence, hunting rule, IDS, or Safe Browsing indicators
Physical contact details and company phone number provided
Corporate real-estate content with no request for sensitive information
Domain age information unavailable

Details

Page Title

Västberga Entré - en knutpunkt för varor och gods till Stockholm city

Scan Type

public

Domain Name Analysis

The domain 'xn--vstberga-0za.se' uses the Swedish country-code top-level domain (.se) without a subdomain. The core label 'xn--vstberga-0za' covers 16 characters with three vowels and 9 consonants; it also includes one digit and 3 hyphens. It segments into seven words: xn, v, st, berg, a, 0, za. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

ÄSTBERGA BN Lokalerhd//; - Kommunikationer — Service — Området Om Fasipartner ENTRE =“ “ : z Västberga Entré. är en knutpunkt for nardistribution av varor och gods till QS . Stockholm city. Via tre...

Page Load Overview

4.25s
Total Load Time
4.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:5,991 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
99%
corporate business
87%
government public service
63%
adult content
42%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.5.70Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4194.9.94.85Sweden
AS39570Loopia AB
4192.178.183.95Google · CDNUnited States
AS15169Google LLC
4172.67.74.174Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.67.71.60Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.13.97Google · CDNUnited States
AS15169Google LLC
4104.26.4.70Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.26.2.182Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6516--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D163E7377440613F035348EB6081B758A1E7A274DAE219DCAEAD87720BC3FA35D26D5B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:raUZou4aNp8FJDFyVXob8Sx/l/gbD1+CTLEPtvtvz:r2u4ak7FSoQMtMA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70741:KQQHrDNCQQIBW0EmQUJEgAgEUelAHBCMQwQHLwFASkAbqA4Fgl0IlCgQJACn1hWl8ovIoHK1EUIIDlgFlIQmAuYDToCAAgAS

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:00003c3c3c3cc381
Perceptual Hash:8d43761439b19c6f
Difference Hash:196171f171710f37
Wavelet Hash:00203c3c3cfffbc3
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data