Security Scan Report: vibilagare.se

Redirected to:
https://www.vibilagare.se/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 68 IPs in 3 countries across 35 domains to perform 322 HTTP transactions. The main domain is vibilagare.se.

Submitted URL: https://vibilagare.se

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

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Swedish car magazine Vi Bilägare's own site: self-branding matching the domain, editorial article content, no credential or payment forms, and no threat-intelligence, YARA or Safe Browsing hits. No risk factors found.

Safety Factors (5)
Site displays its own brand matching the domain (SELF-BRANDING DETECTED)
Rich, coherent editorial content consistent with a long-running publication
No credential, login-password, or payment collection fields on the page
Cross-origin script hosts are standard ad-tech/analytics/CDN vendors (DoubleClick, InMobi, btloader, jsdelivr); unranked hosts are small ad/CRM vendors, a common pattern
No JavaScript credential exfiltration and no cross-origin credential form submissions
Domain age information unavailable

Details

Page Title

Vi Bilägare – Biltidning sedan 1930 | Stor expertis om bilar

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'vibilagare.se' is registered while skipping any subdomain. The registrable portion 'vibilagare' spans 10 characters split between 5 vowels and 5 consonants. Splitting it apart reveals four words: vi, bi, lag, are. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vibilagare.se

Page Load Overview

5.97s
Total Load Time
8.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv
Text Length:20,098 chars
Detector Agreement:80%

Website Classification

Primary Category

blog personal website45% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
45%
technology software
38%
corporate
35%
news media journalism
34%
news/blog
20%

Detected Features

Search
Articles
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5452.222.136.89Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
452.222.136.72Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4172.67.181.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.21.27.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
4104.20.20.189Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
423.53.40.43Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.14.155Google · CDNUnited States
AS15169Google LLC
43.160.150.61Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
32268--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C474652182E1762B054315D29FE89F1BAB83E503DF5B4A00B3FC4A9FAF56D558C2362C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:AQwGFSuUjVUNLL5GF+E6VyRhZ6DUV6STCkRNiE6awZCGfhTQfUQVaFVn5ZoXq7Jv:AQwuSuUjVUNLL5+Rd0iCkRNiES

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:353746:sAwV1EFCoHAQgho4H0M0AAQGBxxGLABIQjKQRIaBIaoIAAOBUiPbQPkDIEh6oBCAECgMGQnFUGSTIqADhEFjtIQ0cAQGRgGo

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:00083c3c3c3c0000
Perceptual Hash:9ed361cc71648e1b
Difference Hash:1769696969616517
Wavelet Hash:013d3d3d3d3d1d01
Color Hash:#409fbf

Scan History

Scan history not available

Unable to load historical scan data