Security Scan Report: xpozicky-sk.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 22 IPs in 2 countries across 13 domains to perform 43 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://xpozicky-sk.pages.dev/finska-pozicka/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Slovak-language financial-advice article on a pages.dev subdomain that explains how to vet 'Finnish loan' offers and warns about loan scams. No forms, no brand impersonation, no threat-intel, YARA or phishing/malware IDS hits. No concrete malicious signal.

Risk Factors (1)
Hosted on the shared pages.dev platform as a subdomain with an unknown actual creation date, so the apex registration age is not attributable to this page
Safety Factors (5)
No forms, no login/password fields, and no payment fields present
Content is educational and explicitly warns readers about loan-related fraud and fee scams
Self-branding matches the domain; no impersonation of any external brand
Third-party scripts come from well-ranked, common analytics/ad domains (Google Analytics, Clarity, Cloudflare Insights, DoubleClick)
No Indicators of Compromise, no YARA malware patterns, no Safe Browsing or phishing/malware IDS hits
Domain age information unavailable

Details

Page Title

Fínska pôžička: čo znamená a ako preveriť ponuku | xPožičky

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'xpozicky-sk.pages.dev' is registered and includes subdomain 'xpozicky-sk'. The second-level label 'pages' is 5 characters long with 2 vowels and three consonants. Word splitting yields one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xpozicky-sk.pages.dev/finska-pozicka/

Page Load Overview

1.02s
Total Load Time
902 KB
Total Size

Language Analysis

Primary Language

🇸🇰SK
Code: sk
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:sk
Text Length:8,769 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22172.66.47.105Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.154Google · CDNUnited States
AS15169Google LLC
1104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.97Google · CDNUnited States
AS15169Google LLC
120.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
1216.239.32.36Google · CDNUnited States
AS15169Google LLC
1142.251.127.157Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1150.171.109.104Azure · CLOUDUnited States
AS8075Microsoft Corporation
1142.251.13.157Google · CDNUnited States
AS15169Google LLC
4322--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18FD33C26F152043F122703ADB6E6B35C316E9103E792CE58397E16B30FC5C6925A6EF9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:inYMpoOWqx/txW0QHbVMMF5CVuPsrY8ns:idOXHiKCVun8ns

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:134680:AzQECwAxgwADaQqSkEfCkETHQUCFIKqCYLQACgRQANIYUKkMkAWKgUlULA4QEwMAi9cpJQCArAJiiBQQZgIDBpIUACGPhEmJ

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:00c3c3c3c3ffefff
Perceptual Hash:ec6cdb1316125b4d
Difference Hash:a6272707169f8d12
Wavelet Hash:00c1c1c3c3c7c7ff
Color Hash:#1f9388

Scan History

Scan history not available

Unable to load historical scan data