Security Scan Report: yaabil.se

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Submitted: Sep 28, 2026, 4:10:40 PMCompleted: Sep 28, 2026, 4:11:47 PMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Established Swedish auto repair website with physical address and no signs of phishing, malware, or credential harvesting. Safe to use.

Safety Factors (5)
Established domain (over 6 years old)
No credential or payment collection forms
Physical business address and phone number provided
No threat intelligence matches or malware indicators
Ordinary third-party analytics and cookie-consent scripts from well-known providers
Domain age information unavailable

Details

Page Title

Autoexperten bilverkstad i Norrort | Yaabil Group

Scan Type

public

Domain Name Analysis

Within the Swedish country-code top-level domain (.se), 'yaabil.se' is registered and has no subdomain. The registrable portion 'yaabil' spans 6 characters holding three vowels versus 3 consonants. Splitting it apart reveals 2 words: yaa, bil. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://yaabil.se

Page Load Overview

5.71s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:sv-SE
Text Length:9,793 chars
Detector Agreement:60%

Website Classification

Primary Category

healthcare medical57% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
57%
government public service
54%
corporate business
45%
documentation technical
44%
adult content
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2034.2.63.110Google · CDNStockholm, Stockholm County, Sweden
AS15169Google LLC
6142.251.13.97Google · CDNUnited States
AS15169Google LLC
6142.251.20.95Google · CDNUnited States
AS15169Google LLC
63.174.46.15Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
6104.18.18.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6104.18.23.56Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6216.239.34.36Google · CDNUnited States
AS15169Google LLC
6192.178.183.154Google · CDNUnited States
AS15169Google LLC
63.174.46.108Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15223--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4D3F633614C207E111F62EE6065A30F22BFCE71CB5365A9F3F6421C8BC6D915E6629E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gsG1zypUwfv6UDGfIeyNnqSNq7JgWGI9OEzxJ2fr0GhSya93TlVDE7VmnRz:gL1edqUDGcNnqSo7GIvVshY3Tl8onJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:141001:kFqixcEBCACRgthQBYKNcBGIRoCHwEZ8NEHKFIIYwA00w4HKqCDNBSUSQKALFk0ACATC0KcEeWG1RZuTAdAQIgXlIwoEUOEi

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:0000000003ffffff
Perceptual Hash:e856f8f10f70502f
Difference Hash:a1a1b1a36b941313
Wavelet Hash:4050000073ffffff
Color Hash:#8f1f93

Scan History

Scan history not available

Unable to load historical scan data