Security Scan Report: ecocosmeticcycle.pages.dev

Submitted: Mar 26, 2026, 3:26:43 AMCompleted: Mar 26, 2026, 3:27:56 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is ecocosmeticcycle.pages.dev and was registered NaN years ago.

Submitted URL: https://ecocosmeticcycle.pages.dev/event-listing

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Login form on a new pages.dev subdomain with mismatched branding suggests high‑risk credential phishing.

Risk Factors
Password field on a newly created subdomain
Brand mismatch: Tiya Golf Club title on unrelated domain
Domain age information unavailable

Details

Page Title

Tiya Golf Club - Event Listing

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social_media

(50%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'ecocosmeticcycle.pages.dev' is registered with subdomain 'ecocosmeticcycle'. Count 5 characters in 'pages' containing 2 vowels alongside three consonants. It segments into one word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ecocosmeticcycle.pages.dev/event-listing

Page Load Overview

0.87s
Total Load Time
23
HTTP Requests
3
Domains
876 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:550 chars
Detector Agreement:67%

Website Classification

Primary Category

social_media50% confidence
Type: webapp
Method: structural

All Detected Categories

social_media
50%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.251.143.99United States
7172.66.47.172United States
AS13335Cloudflare, Inc.
7142.250.187.234United StatesUnknown
233--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18762A42114F0253B0127C2C9EAF4AB5DBED6D107EA1A4409B6FE0BE51FD7E428C6362D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TkvcOL8ftvUjpuLgtydebAkJgcCZdSw7G8BDsmVM/rvcAAEbF2/rP/4G/9rJ/qAc:w0OL8OHrwHNsJmTxHxje6zYg7Z7sie7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15415:pgBAg2BNQFPKBOhBgAHC0jCTAK5XKwkGQJkgAItYUDnaKIgJBUYIUBBAiCQahD9MCAAWALBgL4aBgArBkUCmFAnRgwoClKd5

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:0001000083ffffff
Perceptual Hash:a26fd5957e50e0e0
Difference Hash:d55515654dd4d4d4
Wavelet Hash:00810000e7ffffff
Color Hash:#e0d46c

Scan History

Scan history not available

Unable to load historical scan data