Security Scan Report: lannamacken.se

Redirected to:
https://www.lannamacken.se/
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Submitted: Completed: publiccompleted
This website contacted 29 IPs in 1 country across 14 domains to perform 208 HTTP transactions. The main domain is lannamacken.se.

Submitted URL: https://lannamacken.se

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate local petrol station website with self-branding, clear business information, and only a standard contact form. No credential, payment, malware, or phishing indicators were found.

Safety Factors (5)
Self-branding matches the domain and there is no impersonation of another organisation.
No credential, password, or payment collection fields are present.
Contact form fields are limited to standard name, email, and message inputs.
The page content is consistent with a real local petrol station and convenience store.
Third-party scripts and network requests are consistent with Wix-hosted site infrastructure.
Domain age information unavailable

Details

Page Title

Länna Macken | Bensinstation | Lärkträdsvägen 1, Länna, Sverige

Scan Type

public

Domain Name Analysis

The domain name 'lannamacken.se' uses the Swedish country-code top-level domain (.se). The core label 'lannamacken' covers 11 characters containing four vowels alongside seven consonants. Tokenizing the label suggests three words: lan, nama, cken. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

fåntia wu MAT TJÄNSTER © HYRSLÄP KONTAKT AQ Logga. MACKEN DINLOKALA aii es MACK I ER 24/7 fe Allt du behöver - bensin, mat, paket och mer. Vi eae ee | har funnits i bygden i över 60 år och vi ar h...

Page Load Overview

2.20s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:3,429 chars
Detector Agreement:93%

All Detected Languages

🇸🇪sv(91%)🇳🇴no(3%)🇩🇪de(2%)🇺🇸en(2%)🇪🇸ca(2%)

Website Classification

Primary Category

government public service45% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
45%
healthcare medical
37%
adult content
30%
travel tourism
27%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11634.120.208.232Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2365.8.131.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19172.217.113.4Google · CDNUnited States
AS15169Google LLC
14100.49.75.227Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1134.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7162.159.143.12Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7185.230.63.171Ashburn, Virginia, United States
AS58182Wix.com Ltd.
765.8.131.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
735.173.95.245Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
750.16.120.90Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
20829--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155355C646246283C8ECF12DD7B86BD1C21D46416D9C5412AF8FE3E583EE79F812DB31A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:MdFNm4VF8Zp5w4Eh+HcPuh4N9BjbiDjOg:MdvFVF8fVHcPuh4N9BjbiDjOg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1156530:BOoKFgJAsYCAIMgIAcSQGAARRYQvsM4jcBTrvgJY5GCASQAJSygToEA6mDgeiFRlMDoABgECUyjcFSgQoWIJACuQEACIpxEA

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:fff040404040ffff
Perceptual Hash:e0429f8cb3b361c7
Difference Hash:49a5d59d9597375a
Wavelet Hash:ffd060404040ffff
Color Hash:06000030000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data