Security Scan Report: www.abax.com

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Submitted: Jan 16, 2026, 2:24:20 PMCompleted: Jan 16, 2026, 2:25:36 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 7 domains to perform 70 HTTP transactions. The main domain is abax.com and was registered NaN years ago.

Submitted URL: https://www.abax.com/sv

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
Official brand domain
Absence of credential or payment collection forms
No Indicators of Compromise detected
HTTPS likely (standard for reputable sites)
Domain age information unavailable

Details

Page Title

Sveriges mest sålda körjournal | ABAX

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

documentation technical

(34%)

Domain Information

The domain 'www.abax.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'abax' spans 4 characters split between two vowels and 2 consonants. Splitting it apart reveals two words: a, bax. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.abax.com/sv

Page Load Overview

1.81s
Total Load Time
58
HTTP Requests
7
Domains
350 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:41,203 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical34% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1320.79.214.157Frankfurt am Main, Hesse, Germany
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
9185.199.111.153Germany
9104.16.174.226United States
AS13335CLOUDFLARENET
913.107.213.44Unknown
9172.66.160.25United States
AS13335CLOUDFLARENET
935.228.79.179Lappeenranta, South Karelia Region, Finland
AS396982GOOGLE-CLOUD-PLATFORM
586--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACD48736B1E026FDB497528A7166AE02AD99B023D1654C9C72ACD671CFCDC43F93328D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:717akCpafnoFHKoIeuAUEtZVs/h3wox76UA/cJ/OU7E5bXUxm7iJWMItAhUrNzZr:717akCpafnokK5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:601058:tRCYoVsi9wihVQJ4FACAtSrYFwEH5xTJRLiACAkyBFCkipBG1AECyAWYgBQg+6EyCAICQjBRI2pBMEOlTOYBQgsIsChgEGPF

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:3c18181c1c1c1c1c
Perceptual Hash:9ce935a633e46299
Difference Hash:7171f1f1f1f0f0b0
Wavelet Hash:3d3c3c3c3c3c3c1c
Color Hash:#6b931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data