Security Scan Report: maskinuthyrningstockholm.se

Redirected to:
https://www.maskinuthyrningstockholm.se/
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Submitted: Completed: publiccompleted
This website contacted 29 IPs in 3 countries across 21 domains to perform 42 HTTP transactions. The main domain is maskinuthyrningstockholm.se.

Submitted URL: https://maskinuthyrningstockholm.se

Effective URL:
https://www.maskinuthyrningstockholm.se/
Redirected

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Swedish construction-equipment rental site displaying its own brand, with no forms, no impersonation and no threat-intelligence, hunting rule or IDS signals. Unknown domain age is a neutral factor here.

Safety Factors (5)
Title and meta tags match the site's own domain (self-branding, not impersonation)
No forms of any kind, so no credential or payment collection
No Indicators of Compromise, hunting rule, IDS or Safe Browsing signals
No obfuscated or malicious JavaScript behavior detected
Substantial, thematically consistent business content across multiple pages
Domain age information unavailable

Details

Page Title

Maskinuthyrning Stockholm | Allt inom bygg, markarbeten, mm

Scan Type

public

Domain Name Analysis

The domain name 'maskinuthyrningstockholm.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The second-level label 'maskinuthyrningstockholm' is 24 characters long containing 6 vowels alongside 18 consonants. Word splitting yields 6 words: maskin, u, th, yr, ning, stockholm. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Hem Maskinuthyrning Våra maskiner Om oss Kontakt Br arkarbeten Rejäla maskinersom klarar jobbet y Vets Palitlig partner for maskinuthyrning i Stockholm Välkommen Vid arbeten såsom byggen, anläggning...

Page Load Overview

1.30s
Total Load Time
952 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:SV-se
Text Length:7,272 chars
Detector Agreement:100%

All Detected Languages

🇸🇪sv(99%)🇳🇴no(1%)

Website Classification

Primary Category

government public service48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
48%
documentation technical
43%
adult content
42%
blog personal website
33%
corporate business
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
952.184.215.111Azure · CLOUDBoydton, Virginia, United States
AS8075Microsoft Corporation
5104.26.8.38Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4184.24.77.151Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
223.36.162.211Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
223.45.103.56Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
263.183.46.233Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
2216.239.34.36Google · CDNUnited States
AS15169Google LLC
4229--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152C22A13E940E02B6833411D7560A79D2EDDA207D2678DA1B0FF8869CF8F5EB163635E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:EuN56Q9BzoxfW+jUEkH4DXnU+q9+p6px77/LQsKgN3FAFMH0qD5xUuPOCSdMNu+N:S0oUEC77/1AFCsb7MNM67x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27389:AAoiECI+AIQhIJALAoQaGB3fw5QRIiIMJ+iENyxnBAAMIABtaaikBWokEYZFNo45RkNVyANIMBAcRCBELAEIQ0hhFoAINXA6

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:00f9100000ffffff
Perceptual Hash:ea4bd5b13234b436
Difference Hash:1363733125333b2f
Wavelet Hash:00f9110000ffffff
Color Hash:06e00010000

Scan History

Scan history not available

Unable to load historical scan data