Security Scan Report: uniapp-personal.pages.dev

Redirected to: https://uniapp-personal.pages.dev/#/

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Submitted: Feb 13, 2026, 11:50:22 PMCompleted: Feb 13, 2026, 11:52:12 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is uniapp-personal.pages.dev and was registered NaN years ago.

Submitted URL: https://uniapp-personal.pages.dev/

Effective URL: https://uniapp-personal.pages.dev/#/Redirected

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
Hosted on a reputable static site platform
No external domains referenced
Domain age information unavailable

Details

Page Title

uniapp-personal.pages.dev

Scan Type

public

Language

🇰🇷

Korean

(29% confidence)

Category

unknown

(0%)

Domain Information

The domain 'uniapp-personal.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'uniapp-personal'. The second-level label 'pages' is 5 characters long holding two vowels versus three consonants. It segments into one word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uniapp-personal.pages.dev/

Page Load Overview

8.36s
Total Load Time
9
HTTP Requests
2
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:29%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:29%
Script Type:Hangul
Text Length:23 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.44.87United States
AS13335Cloudflare, Inc.
91--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135048F77329A063985558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8OldE:BhoC9JSqzzbs6o3Sj3gcrsU2eAK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184516:knCakCyBYkQhDXIgAYwAEC0ANUCCDjqEloOYzOJFQMgGoUhVRoNIaKIqMKPgAJqIIAZMjAhQACTJJCQcCsGIRhjkQAIDAgBY

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#86522d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data