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Security Scan Report: naver2.vercel.app

Submitted: Oct 14, 2025, 10:44:46 AMCompleted: Oct 14, 2025, 10:47:29 AMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 4 domains to perform 7 HTTP transactions. The main domain is naver2.vercel.app.

Submitted URL: https://naver2.vercel.app/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing site impersonating Naver login; do not enter credentials.

Risk Factors
Credential harvesting form on a suspicious, unranked domain
Typosquatting/brand impersonation (Naver) with no legitimate affiliation
New or unknown domain age increasing likelihood of scam
Domain age information unavailable

Details

Page Title

네이버 : 로그인

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(99%)

Domain Information

You're looking at domain 'naver2.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'naver2'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. 'ver' most often appears in Portuguese. You may catch it in Portuguese (Brazil) and Galician as well.

Screenshot

Security scan screenshot of https://naver2.vercel.app/

Page Load Overview

1.51s
Total Load Time
7
HTTP Requests
4
Domains
244 KB
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:476 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

social media network
99%
corporate business
89%
blog personal website
87%
technology software
86%
documentation technical
83%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3125.209.233.21South Korea
AS23576NAVER Cloud Corp.
223.201.244.241Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1151.101.66.137San Francisco, California, United States
AS54113FASTLY
164.29.17.195United States
AS16509AMAZON-02
0110.93.159.46South Korea
AS23576NAVER Cloud Corp.
0216.198.79.131United States
AS16509AMAZON-02
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
02a04:4e42::649United States
AS54113FASTLY
0110.93.159.38South Korea
AS23576NAVER Cloud Corp.
716--

Detected Technologies7

X-UA-Compatible
100%
PasswordField
100%
Open-Graph-Protocolvwebsite
100%
JQueryv1.9.1
100%
Vercel
40%
HSTS
40%
jQuery CDN
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14482946254F95C33011380E6BAF6BB256ED54127CA0E4900B6EC0BB59FEBD866C2366D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Y+yqsM6QR84Z8eollvFtiys5zNPMPjwOqXcuESjT06H:/YM6QT8eonvFtiys5zNPMPjwOqnAG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18552:NhlBUAQcQY4YojdUOFGSgDXAoSDKJlYQBgRDBsiQAYCMCDqBHMbAWygIkAbJlEATAGtKRYkBoG4ygOCBuIIYEUB/mDCKJAdO

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:e7e7ffe7e7efefe7
Perceptual Hash:e366999967239989
Difference Hash:080c000c0c080c08
Wavelet Hash:e0e4e4e4e4e4e4e4
Color Hash:#87abc5

Other Hashes

Crop Resistant:080c000c0c080c08

Scan History

Scan history not available

Unable to load historical scan data