ScanMalware.com

Security Scan Report: daypal.se

Redirected to:
https://www.daycape.com/sv/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/70964db3-fc2b-46d5-b47d-23e8add25b0aDomain and IP registration (RDAP)/api/v1/rdap/70964db3-fc2b-46d5-b47d-23e8add25b0aHow often this domain was scanned/api/v1/domain/stats/daypal.seScan history for this domain/api/v1/domain/history/daypal.se?limit=15
This website contacted 31 IPs in 3 countries across 16 domains to perform 107 HTTP transactions. The main domain is daypal.se.

Submitted URL: https://daypal.se

Effective URL:
https://www.daycape.com/sv/
Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Cross-domain redirect from daypal.se lands on www.daycape.com, which serves its own DayCape brand. No forms, no credential harvesting, no Indicators of Compromise, YARA or IDS hits. Self-branded content with no concrete malicious signal.

Safety Factors (4)
Final destination domain matches the displayed brand (DayCape) — self-branding
Zero credential, password or payment fields on the page
No threat-intelligence, YARA, IDS or kit-roster detections
Content is a legitimate Swedish day-planning app for users with autism (educational/assistive tool) with pricing, about, contact and blog sections
Domain age information unavailable

Details

Page Title

Hem - DayCape

Scan Type

public

Domain Name Analysis

You're looking at domain 'daypal.se' on the Swedish country-code top-level domain (.se) with no subdomain. The second-level label 'daypal' is 6 characters long holding 2 vowels versus four consonants. Tokenizing the label suggests 2 words: day, pal. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://daypal.se

Page Load Overview

7.57s
Total Load Time
4.4 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:3,228 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
59%
technology software
59%
government public service
53%
healthcare medical
52%
cryptocurrency blockchain
40%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1746.16.234.124Sweden
AS44136ODERLAND Webbhotell AB
3142.251.157.4Google · CDNUnited States
AS15169Google LLC
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3142.251.14.94Google · CDNUnited States
AS15169Google LLC
3142.251.127.113Google · CDNUnited States
AS15169Google LLC
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
3142.251.151.4Google · CDNUnited States
AS15169Google LLC
3142.251.20.94Google · CDNUnited States
AS15169Google LLC
10731--

Detected Technologies11

Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv1.12.4
100%
Google-AnalyticsvUniversal
100%
WordPress
80%
Google Analytics
55%
PHP
50%
MySQL
50%
YouTube
30%
WPML
20%
Facebook Pixel
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139032F776849B137526393C0A021BB1EE183911FCB529DD0F3FC46BAEBC2DA3945B529

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:clFx80VtHoLiAxPoyOOoIoQoxq2CHnXnW1ULp0JRyD4AzSX2z05BS37lt2t+goNc:ZvP9ubLH64LteifDGPL9cr0G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37694:GqDIBiF1GAscALpISDIIicg9BAEASMGpQNy84uQSgkwsRRxk5noBEKBhsQwUcksGAJT7JJgAYCRgFQxCvhAGKmA0AphEEFAV

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:ffffd7f7f383e3e3
Perceptual Hash:e4986367d3263c6c
Difference Hash:16b4aea506260646
Wavelet Hash:ffdfc7d7e3000001
Color Hash:#e06c6c

Other Hashes

Crop Resistant:16b4aea506260646,c9a994baa65455a4,c888c8ccc8c8ccce

Scan History

Scan history not available

Unable to load historical scan data