Security Scan Report: metagear-app.pages.dev

Redirected to: https://metagear-app.pages.dev/

Submitted: Nov 14, 2025, 9:21:54 AMCompleted: Nov 14, 2025, 9:23:35 AMpubliccompleted
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Summary

This website contacted 4 IPs in 0 countries across 1 domain to perform 10 HTTP transactions. The main domain is metagear-app.pages.dev.

Submitted URL: http://metagear-app.pages.dev/

Effective URL: https://metagear-app.pages.dev/Redirected

AI Security Verdict

Safe Website

Confidence: 80%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
No external domains linked
Domain age information unavailable

Details

Page Title

metagear

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(33%)

Domain Information

Domain 'metagear-app.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'metagear-app'. Count 5 characters in 'pages' holding two vowels versus 3 consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metagear-app.pages.dev/

Page Load Overview

60.97s
Total Load Time
10
HTTP Requests
1
Domains
N/A
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:776 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical33% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
33%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.66.44.244UnknownUnknown
2172.66.47.12UnknownUnknown
22606:4700:310c::ac42:2f0cUnknownUnknown
22606:4700:310c::ac42:2cf4UnknownUnknown
104--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A12B71061406F3E266706E9F6E0F6687198D309C22AD21EF7EE01752BC3D95E8335ED

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:khZhp3uZh8MqGVQ8lqGyQ8lqG2Q8UjdO7qJKX+hrLN9syhLJKb8+LJKadu:kLhYhw8F8R8JqJ2erLNFhLJI8+LJbdu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9459:wTYuNNAFqh4RlA8mQNAUggIKYAzoygXxYAlC4nWQC4WEs0UkKhwAPEFAAVIEhcASIyROEABSAoIpbQogixAtGikdRoKAIQQB

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data