ScanMalware.com

Security Scan Report: mektekbil.se

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/80c46575-7b82-47cd-9c7b-32a945c813cbDomain and IP registration (RDAP)/api/v1/rdap/80c46575-7b82-47cd-9c7b-32a945c813cbHow often this domain was scanned/api/v1/domain/stats/mektekbil.seScan history for this domain/api/v1/domain/history/mektekbil.se?limit=15
This website contacted 17 IPs in 2 countries across 11 domains to perform 91 HTTP transactions. The main domain is mektekbil.se.

Submitted URL: https://mektekbil.se

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Local Swedish car workshop site with self-branding matching its domain, no forms, no credential collection and no threat-intel, hunting rule or IDS findings. No risk indicators.

Safety Factors (5)
Business self-branding matches the registered domain
No forms, no credential or payment fields
No threat-intelligence, hunting rule, or IDS findings
Consistent, coherent local-business content with physical address and phone contact
Standard third-party services (Google Fonts, YouTube, Google Tag Manager)
Domain age information unavailable

Details

Page Title

Bilservice i Arlandastad, bilverkstad, felsökning | Mektek

Scan Type

public

Domain Name Analysis

The domain name 'mektekbil.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The core label 'mektekbil' covers 9 characters with 3 vowels and six consonants. Breaking it apart gives three words: mek, tek, bil. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Hitta hit — Inför ditt verstadsbesök Generatorgatan 21, 19560 Arlandastad Bilverkstad Kontakt Bokning via telefon: 0707 988 551 a Mektek Bilverkstad i Arlandastad baad Artcurl Bilservice till di...

Page Load Overview

12.35s
Total Load Time
2.4 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:sk-SK
Text Length:2,094 chars
Detector Agreement:93%
Language mismatch: Declared as sk-SK but detected as sv

All Detected Languages

🇸🇪sv(93%)🇮🇩id(5%)🇳🇴no(2%)

Website Classification

Primary Category

documentation technical59% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
59%
corporate business
50%
government public service
43%
cryptocurrency blockchain
42%
adult content
36%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
70185.189.51.40Stockholm, Stockholm County, Sweden
AS206170Yelles AB
8142.251.150.4Google · CDNUnited States
AS15169Google LLC
5142.251.13.97Google · CDNUnited States
AS15169Google LLC
5142.251.154.4Google · CDNUnited States
AS15169Google LLC
5142.251.155.4Google · CDNUnited States
AS15169Google LLC
5142.251.153.4Google · CDNUnited States
AS15169Google LLC
5142.251.14.94Google · CDNUnited States
AS15169Google LLC
5192.178.183.156Google · CDNUnited States
AS15169Google LLC
5142.251.150.119Google · CDNUnited States
AS15169Google LLC
5142.251.145.6Google · CDNUnited States
AS15169Google LLC
9117--

Detected Technologies4

WordPressv6.8.12
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18573B472798A2C29211F52CFE007320CE0CB9EE6D615B5F5B9F2512856F1DF232A366D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DGnapIt1WhMegEt5YDlVbgBgXBLqF3Pm8Kbmf:DGaGt1WNfwbgBgX5qF3PBKi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79873:JiPgUENMPLiBsEIAYmCRgXdDAQkiIAugFJaAYYmToIqgFGAIAwKCJEEFZBVcVCoBLiYOFaJBEw0EQIAEkmhREkGJAEDBIAKj

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:ff0000040c00ffff
Perceptual Hash:9a1bed5492c36c93
Difference Hash:2233f9d99925612a
Wavelet Hash:ff99000c0c00ffff
Color Hash:1b007000000

Other Hashes

Crop Resistant:2233f9d99925612a,cc4c48cffec5e5f7,000000c4c4000000,3338f8c99998b461

Scan History

Scan history not available

Unable to load historical scan data