Security Scan Report: loyalcare.se

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Submitted: Sep 27, 2026, 12:00:40 PMCompleted: Sep 27, 2026, 12:01:18 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

1
Risk Score

Long-established (16-year-old) self-branded domain with no forms, no impersonation, and no threat-intel, malware, or IDS hits. Only weak signal is absent Cisco Umbrella ranking, which is not evidence of wrongdoing.

Safety Factors (5)
Well-established domain (5991 days old) with minimal age risk
Page presents its own brand, not another organisation's brand
No credential, login, or payment forms present
No threat-intelligence, malware, or IDS hits
Served via Wix hosting (static.parastorage.com) with no suspicious JS sinks
Domain age information unavailable

Details

Page Title

loyalcare.se

Scan Type

public

Domain Name Analysis

The domain 'loyalcare.se' uses the Swedish country-code top-level domain (.se) while skipping any subdomain. The core label 'loyalcare' covers 9 characters containing four vowels alongside five consonants. It segments into 2 words: loyal, care. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://loyalcare.se

Page Load Overview

1.22s
Total Load Time
220 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Text Length:170 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical29% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7195.47.247.18Denmark
AS51468One.com A/S
5162.159.143.12Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
534.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
5100.60.127.44Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
224--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9F05C9F295554558D20B18468D1255D7CAA80B513A8CF7278F17E15D34D205E8027FD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hax/vIHD4dBgFjfd2XfK4oRbsj4xUJlA5L85Wi7hzMkhlA5gSEkbrj:haSEKFY2R4jo5L8z7l1I5gDkbrj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:1e07d998f2649339d89c1c7aade375e4

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:f9f999193939f9ff
Perceptual Hash:cb69f003b4b216f6
Difference Hash:a303737363510941
Wavelet Hash:78f919091038f9fd
Color Hash:#bfd279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data