Security Scan Report: rakao.vercel.app

Redirected to:
https://rakao.vercel.app/
Submitted: Aug 25, 2026, 1:45:29 AMCompleted: Aug 25, 2026, 1:48:32 AMpubliccompleted

This website contacted 3 IPs in 1 country across 5 domains to perform 11 HTTP transactions. The main domain is rakao.vercel.app and was registered 12 years ago.

Submitted URL: http://rakao.vercel.app/

Effective URL:

https://rakao.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 94%

10
Risk Score

Page harvests login credentials and exfiltrates them to an external server while impersonating a brand; treat as confirmed phishing scam.

Risk Factors (4)
Unranked domain on free hosting subdomain
Brand impersonation / typosquatting
Credential exfiltration to external server
Presence of password field collecting credentials
Domain age information unavailable

Details

Page Title

계정 인증

Scan Type

public

Domain Name Analysis

The domain name 'rakao.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'rakao'. The registrable portion 'vercel' spans 6 characters with two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://rakao.vercel.app/

Page Load Overview

29.53s
Total Load Time
261 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:60%
Script:Hangul
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:71 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ko

Website Classification

Primary Category

phishing scam61% confidence
Type: static
Method: ml+structural

All Detected Categories

phishing scam
61%
finance banking
37%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5216.198.79.195United States
AS16509Amazon.com, Inc.
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
3209.94.90.1United States
AS40680Protocol Labs
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10BF023DB4CF6F4D54141A6DC7CB19618547F0394E0D9CB58A5E0007A78516BC4DC59A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRYXAqJmWG52bGIu28natRS6HK/h09EIuCPSqfN8eO33LJp2JG:hRizKydROmUgCNLJ8JG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:636:AAAAAACAAEAAAAIAAAAAACAAAAAAAAABAAAAAAABAAAFAAAQAAAAAAAAAAAAAAAAAAAABAAAAQAAAAAAAACAAAAAAABAAAAA

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:efe7e7e7e73f1505
Perceptual Hash:b7e01fc98cc83366
Difference Hash:080c0c040c515575
Wavelet Hash:e6e6e6e6e61c8405
Color Hash:#931f36

Other Hashes

Crop Resistant:080c0c040c515575

Scan History

Scan history not available

Unable to load historical scan data