Security Scan Report: reimagined-funicular-ivory.vercel.app

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https://reimagined-funicular-ivory.vercel.app/
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Submitted: Sep 25, 2026, 4:50:38 PMCompleted: Sep 25, 2026, 4:52:27 PMpubliccompleted

This website contacted 16 IPs in 3 countries across 8 domains to perform 26 HTTP transactions. The main domain is reimagined-funicular-ivory.vercel.app and was registered 15 years ago.

Submitted URL: http://reimagined-funicular-ivory.vercel.app

Effective URL:

https://reimagined-funicular-ivory.vercel.app/
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AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed Naver credential-phishing page: a cloned Naver login form (password + ID field) hosted on a vercel.app subdomain unrelated to naver.com, corroborated by multi-feed phishing threat intelligence. Do not enter credentials.

Risk Factors
Brand impersonation of Naver on a non-Naver domain (vercel.app subdomain)
Live credential-harvesting login form (password + ID/phone fields) on an unrelated host
Multi-source phishing threat-intelligence match on the primary domain
Failure/error strings copied from the real Naver login flow ('Passkey login failed', '비밀번호 표시') to mimic authentic UX
Domain age information unavailable

Details

Page Title

Naver Sign in

Scan Type

public

Domain Name Analysis

You're looking at domain 'reimagined-funicular-ivory.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'reimagined-funicular-ivory'. Count 6 characters in 'vercel' with two vowels and four consonants. It segments into two 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 http://reimagined-funicular-ivory.vercel.app

Page Load Overview

4.46s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:676 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network87% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
87%
corporate business
50%
technology software
31%
corporate
25%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1125.209.233.21Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
123.52.180.223Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
12.20.245.170Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1110.93.151.131Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
123.48.23.54Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1203.104.162.225Germany
AS23576NAVER Cloud Corp.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1110.93.159.38Navercloud · CLOUDSouth Korea
AS23576NAVER Cloud Corp.
2616--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB82D72298F98C33411380E8BAF6EB296D998117C70E9D00B2FC1BE45FD7E869D1756D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Y+B9jvYR8IcSaSlljbtigae4n3I3rdnNuEthT06L:/nbYTaSnjbtigae4n3I3hn7A2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18901:EghIwhbFERQAi0iMgRJiCQAik4wSAIh6QRQBgWJSGKAQyQjgoSQAFBYJmt8IoIoDeDshvyEE1CYYkIQliikMALaBOAOnxDME

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:e7e7ffe7e7ffe7ff
Perceptual Hash:e36689996666c999
Difference Hash:0a0c000c0c100c00
Wavelet Hash:030707070707273f
Color Hash:#53ac93

Other Hashes

Crop Resistant:0a0c000c0c100c00

Scan History

Scan history not available

Unable to load historical scan data