Security Scan Report: me-mo-app.pages.dev

Submitted: Apr 25, 2026, 1:06:35 AMCompleted: Apr 25, 2026, 1:07:44 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low risk site with no malicious indicators; proceed cautiously.

Risk Factors (2)
Unranked domain
Unknown subdomain age (could be newly created)
Safety Factors (4)
No forms or payment fields
No malicious Indicators of Compromise
No JavaScript malware YARA matches
Hosted on reputable static hosting platform (pages.dev)
Domain age information unavailable

Details

Page Title

MEMO — 스마트 개인 비서

Scan Type

public

Domain Name Analysis

Domain 'me-mo-app.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'me-mo-app'. Count 5 characters in 'pages' split between two vowels and 3 consonants. It segments into one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://me-mo-app.pages.dev/

Page Load Overview

0.45s
Total Load Time
183 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ko
Text Length:371 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
58%
government public service
37%
technology software
34%
healthcare medical
33%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.14.94United States
AS15169Google LLC
2142.251.14.95United States
AS13335Cloudflare, Inc.
2192.178.183.94United States
AS15169Google LLC
2172.66.44.92United States
AS13335Cloudflare, Inc.
114--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFB3097661BA24357463E0AD779B671D3120B003790AC9907A9C31A04FCEEB6D6B76FC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3tkzyBJk5x99RPLhG1Fc2kHEqa/4JDXSCl5IIOv5I3pLdxQsrU:a1PLhG1S2kHEqfJDXSCi5SxQsrU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115829:gYAAaMYUIDSEdBmNCIBzw4jvAgGRKCgABZQoeDAgZlyFaizQAkIfighgwCiHGI4UDBLIBkSHUIIBAeKIiUBoAMg2ilYA0YYQ

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:0000181818180000
Perceptual Hash:cc773399cc662299
Difference Hash:00083032b2300ca1
Wavelet Hash:e7801a1e1a1aa3ff
Color Hash:#931f86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data