Security Scan Report: dau-ug-koreatyujdjhdjuuej6664746637-chi.vercel.app

Submitted: Aug 22, 2026, 12:45:04 PMCompleted: Aug 22, 2026, 12:46:26 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

The site impersonates Kakao and harvests credentials via a login form on an unknown‑age, unranked subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation of Kakao
Credential collection form on unknown‑age subdomain
Unranked / low‑reputation domain
Multiple cross‑domain redirects
External network calls from JavaScript
Domain age information unavailable

Details

Page Title

Kakao Account

Scan Type

public

Domain Name Analysis

You're looking at domain 'dau-ug-koreatyujdjhdjuuej6664746637-chi.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'dau-ug-koreatyujdjhdjuuej6664746637-chi'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Segmentation suggests 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dau-ug-koreatyujdjhdjuuej6664746637-chi.vercel.app/?naps

Page Load Overview

11.88s
Total Load Time
185 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:391 chars
Detector Agreement:100%

Website Classification

Primary Category

social_media50% confidence
Type: spa
Method: structural

All Detected Categories

social_media
50%
corporate
50%

Detected Features

Login Form
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1223.48.23.166Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1264.29.17.67United States
AS16509Amazon.com, Inc.
12211.231.100.79Cheongju-si, North Chungcheong, South Korea
AS38099Kakao Corp
363--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B52393ED38364C6EAC67866FF00F730CE142FD5FF4999044B9DC91449FA1AADA18690B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:qURQCqqxDLDR6nRI/ono9CGOmfReRG8uhZfF2IjyD4j/TM4B:RHDR6nRY+o9CGOWeRG8uh1+D4j/TM4B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48283:EBlmOLFgITiwoFVBQPEBCCB4bAAl0An5GACICooBZYS0BGwAKEjIGNAQ0MyAFCSkENBkAjJUpyw2TlAiwUJ04UOpoMDiAVBi

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:e6e6c6cee6ffffff
Perceptual Hash:f3738ecccc999904
Difference Hash:0808181c04000000
Wavelet Hash:e6c2c2c2c2dadada
Color Hash:#933c1f

Other Hashes

Crop Resistant:0808181c04000000

Scan History

Scan history not available

Unable to load historical scan data