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Security Scan Report: hazet.se

Redirected to:
https://www.motorwallin.se/
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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/25fa17ad-bed9-41e7-b819-be5234b003bdDomain and IP registration (RDAP)/api/v1/rdap/25fa17ad-bed9-41e7-b819-be5234b003bdHow often this domain was scanned/api/v1/domain/stats/hazet.seScan history for this domain/api/v1/domain/history/hazet.se?limit=15
This website contacted 11 IPs in 3 countries across 8 domains to perform 51 HTTP transactions. The main domain is hazet.se.

Submitted URL: https://hazet.se

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

AI Security Verdict

Moderate Risk

Confidence: 65%

5
Risk Score

Swedish tool shop with a normal account login form. No phishing, malware, or impersonation indicators, but unknown domain age and missing reputation warrant moderate caution.

Risk Factors (2)
Login/password form on an unranked domain with unknown registration age
Password field present in DOM but not visible in screenshot
Safety Factors (4)
No credential exfiltration detected; form posts within the site's own domain flow
No malware, phishing kit, or network IDS alerts
Self-branding matches final domain (motorwallin.se)
Content is a normal Swedish auto parts/tool shop with published company details
Domain age information unavailable

Details

Page Title

motorwallin.se

Scan Type

public

Domain Name Analysis

Domain 'hazet.se' uses the Swedish country-code top-level domain (.se) with no subdomain. Its registrable label 'hazet' stretches across 5 characters containing two vowels alongside three consonants. It segments into two words: haze, t. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hazet.se

Page Load Overview

2.12s
Total Load Time
1021 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:37%
Script:Latin
Direction:ltr

Detection Details

Text Length:9,324 chars
Detector Agreement:75%

Website Classification

Primary Category

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

All Detected Categories

documentation technical
59%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.21.98.7Falkenberg, Halland County, Sweden
AS42708Glesys AB
4195.47.247.18Denmark
AS51468One.com A/S
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
4142.251.127.102Google · CDNUnited States
AS15169Google LLC
4142.251.13.94Google · CDNUnited States
AS15169Google LLC
4142.251.110.97Google · CDNUnited States
AS15169Google LLC
4216.239.34.36Google · CDNUnited States
AS15169Google LLC
4142.251.20.95Google · CDNUnited States
AS15169Google LLC
4142.251.13.101Google · CDNUnited States
AS15169Google LLC
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
5111--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19CC3502086843F7169BA17D8DAA89F9DE3D32B80DCA3491399D4D58ECBC7FD0ED19016

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:1G/KzKMxaJ2qJgNpUKXZJXYySMj132J8xKgBhj:k/KznawNpUKXZJXYyXj132J8xhj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:122754:gMAEoAKJFIYCIdiwIgeCFEhl4MjRCZi4CIgBIGE8jyTAowYE3RxQJsIApuERkA8OZQQoIgGgZyIECUAFACkNBVIRYAUOEAGQ

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:00007e7e7e7e7e7e
Perceptual Hash:c2696d69e0c1d697
Difference Hash:d7d0ccd4d4d4d0ec
Wavelet Hash:00007e7c7e7c7c3e
Color Hash:#786a3a

Other Hashes

Crop Resistant:cbcbcbcbe0c3c8c6,ab9555526a91d9cc,d6d0ccd4d4d4d0ec

Scan History

Scan history not available

Unable to load historical scan data