Security Scan Report: www.makeup1003.vercel.app

Redirected to:
https://makeup1003.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 7 domains to perform 12 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.makeup1003.vercel.app/

Effective URL:
https://makeup1003.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Naver login page hosted on a .vercel.app subdomain, harvesting ID and password with Safe Browsing phishing detection. Do not enter credentials.

Risk Factors (4)
Brand impersonation of Naver (NAVER) login page on a non-Naver domain (makeup1003.vercel.app)
Credential-harvesting login form (username/phone + password) on attacker-controlled hosting subdomain
Google Safe Browsing Social Engineering (phishing) detection
Free/shared hosting platform subdomain with unknown creation date and no ranking
Domain age information unavailable

Details

Page Title

네이버 : 로그인

Scan Type

public

Domain Name Analysis

The domain 'www.makeup1003.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.makeup1003'. Count 6 characters in 'vercel' split between 2 vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.makeup1003.vercel.app/

Page Load Overview

4.21s
Total Load Time
435 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:481 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
99%
corporate business
91%
blog personal website
90%
technology software
89%
documentation technical
86%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1110.93.159.38Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
123.48.23.46Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1125.209.233.21Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
123.48.23.54Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
123.36.157.28Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1203.104.162.225Germany
AS23576NAVER Cloud Corp.
129--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F172736184F94C334113C4C6BAE5BB369ED58127C74E0904B6EC0BB59FEBC83692366D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:M+yqsM6QR84Z8eollvFtiys5zNPMPjwOqXa:DYM6QT8eonvFtiys5zNPMPjwOqq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16017:AIIzmCBESlweQIVOMI+SDhCGJ2mCFDQw0kQAAAEggUiEgggANipXQBIBKY7ClYIAoQkHCBiPANAMJxBAjJy4eIEbvMgSJX1h

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:ffe7ffe7e7efffe7
Perceptual Hash:e765cc8966639989
Difference Hash:020c100c0c08080c
Wavelet Hash:fbe7e3e324242424
Color Hash:#d22d59

Other Hashes

Crop Resistant:020c100c0c08080c

Scan History

Scan history not available

Unable to load historical scan data