Security Scan Report: hanm.vercel.app

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 5 domains to perform 10 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://hanm.vercel.app/?naps

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Korean-language login page on a free vercel.app subdomain that ships entered email/password to a Telegram bot and looks up the visitor's IP — a working credential phishing kit. Do not enter credentials.

Risk Factors (5)
Credential exfiltration: password and email sent to a Telegram bot via inline script
Telegram bot token embedded in page script for data exfiltration
Password-collecting login form on a throwaway hosting-platform subdomain
External IP lookup (api.ipify.org) used to fingerprint victims
Generic 'account verification' login page with no identifiable legitimate service or brand behind it
Domain age information unavailable

Details

Page Title

계정 인증

Scan Type

public

Domain Name Analysis

You're looking at domain 'hanm.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'hanm'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and 4 consonants. Splitting it apart reveals 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 https://hanm.vercel.app/?naps

Page Load Overview

0.64s
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
464.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1209.94.90.1United States
AS40680Protocol Labs
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
107--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E82836B24F720516A93E4BC3BAF53053265E0039A09CD287F9C53498F46B99ACB37DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:vJ+U3RWl0Kikc+3eVPH1hPRHa4sx8utqqnA65Fk619uY/cQ5uG9Rk4HyfAy+ylJX:vIGaFmIofsiJ6eGCIdrfts3b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19151:mgEaNCpAQQFEiRoBwGCMRBE6KSIwg1YSGLEIRWhnDv0iDIQCEUBjI8JCIAoOAASRtCFQwQKKASQANGkUgNMiyAIxAoCoEKlm

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:181c180018000000
Perceptual Hash:9999cc66663331d9
Difference Hash:32b2b24c300c0000
Wavelet Hash:3c3c3820dcccc0c0
Color Hash:#40acbf

Other Hashes

Crop Resistant:32b2b24c300c0000

Scan History

Scan history not available

Unable to load historical scan data