Security Scan Report: goose1.pages.dev

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Submitted: Nov 27, 2025, 10:01:02 AMCompleted: Nov 27, 2025, 10:05:34 AMpubliccompleted
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Summary

This website contacted 4 IPs in 0 countries across 1 domain to perform 2 HTTP transactions. The main domain is goose1.pages.dev.

Submitted URL: https://goose1.pages.dev/ko/apps/ios

AI Security Verdict

AI analysis unavailable for this scan

Details

Primary Scan Blocked — Fallback Capture Shown

The primary scanner could not load this page (possible bot protection). The screenshot and page details shown were captured by a fallback browser that loaded the page successfully.

Page Title

iOS용 Speedtest: iPhone 및 iPad용 모바일 인터넷 속도 테스트

Scan Type

public

Language

🇰🇷

Korean

(80% confidence)

Category

technology software

(89%)

Domain Information

The domain name 'goose1.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'goose1'. Its registrable label 'pages' stretches across 5 characters containing two vowels alongside three consonants. Splitting it apart reveals 1 word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://goose1.pages.dev/ko/apps/ios

Page Load Overview

0.50s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:80%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:80%
Script Type:Hangul
HTML Lang Attribute:ko
Text Length:2,245 chars
Detector Agreement:40%

Website Classification

Primary Category

technology software89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
89%
entertainment media
63%
documentation technical
63%
government public service
55%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3UnknownUnknown
02a06:98c1:3121::3UnknownUnknown
0188.114.96.3UnknownUnknown
02a06:98c1:3120::3UnknownUnknown
24--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1527309E1A25C475DA15B878CBF76BA08731FB0BAFA5689C9C79D8B644143DE0FC03854

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:r7S4yi+orUmd13HJEHxVG6oQDclznTQeNICQ4z3XCQ4:ruRsAjoQDaznJ3Xa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80417:QtUJoADShFCFgGBRAdBpQsFKKAIXIihHooSggAgQADgEhGJk2BKCg6bEm14kUjJEIcES4EOmlAuqUkABoAihpgfBghC40pTC

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:810021c1e3e3c303
Perceptual Hash:e20f1ff0a8718ed1
Difference Hash:0505c99795859785
Wavelet Hash:8101e1c3e7f3e707
Color Hash:#1f8293

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data