Security Scan Report: naver2.vercel.app

Submitted: Oct 14, 2025, 10:44:46 AMCompleted: Oct 14, 2025, 10:46:21 AMpubliccompleted
Loading additional data...

Summary

This website contacted 15 IPs in 2 countries across 3 domains to perform 5 HTTP transactions. The main domain is naver2.vercel.app and was registered NaN years ago.

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

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Phishing site impersonating Naver login; do not enter credentials.

Risk Factors
Typosquatting/brand impersonation
Password collection on an untrusted domain
Unranked domain presenting a major brand
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) with subdomain 'naver2'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Breaking it apart gives two words: ver, cel. Average segment length settles at three characters. 'ver' most strongly signals Portuguese. You will also see it in Portuguese (Brazil) and Galician contexts. Net impression: Portuguese phrase.

Screenshot

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

Page Load Overview

63.12s
Total Load Time
5
HTTP Requests
3
Domains
4 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
5110.93.159.38South Korea
AS23576NAVER Cloud Corp.
0125.209.233.29South Korea
AS23576NAVER Cloud Corp.
0216.198.79.195United States
AS16509AMAZON-02
0151.101.130.137San Francisco, California, United States
AS54113FASTLY
064.29.17.3United States
AS16509AMAZON-02
02a04:4e42::649United States
AS54113FASTLY
0151.101.194.137San Francisco, California, United States
AS54113FASTLY
02a04:4e42:400::649United States
AS54113FASTLY
0125.209.233.21South Korea
AS23576NAVER Cloud Corp.
0151.101.2.137San Francisco, California, United States
AS54113FASTLY
515--

Detected Technologies7

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:7f3f7f3f3fffffff
Perceptual Hash:8000fcff0380fcff
Difference Hash:80c080c0c0000000
Wavelet Hash:7030303030f0f0f0
Color Hash:#c1e06c

Other Hashes

Crop Resistant:80c080c0c0000000

Scan History

Scan history not available

Unable to load historical scan data