Security Scan Report: emshipment.vercel.app

Redirected to:
https://emshipment.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 1 country across 5 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

Effective URL:
https://emshipment.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Phishing login page on a free vercel.app subdomain that sends entered email/password to a Telegram bot, along with the victim's IP address.

Risk Factors (5)
Credential exfiltration to an external Telegram chat via hardcoded bot token
Credential-harvesting login form on a shared hosting platform subdomain
Outbound IP-lookup enrichment (api.ipify.org) typical of phishing kits logging victim metadata
No verifiable owner, brand, or purpose for the account being 'verified'
Network IDS alerts for abused cloud hosting and IPFS domains
Domain age information unavailable

Details

Page Title

계정 인증

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'emshipment.vercel.app' is registered; it also runs on subdomain 'emshipment'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four consonants. Breaking it apart gives 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

계정에 로그인하세요 이메일 비밑번호 | 를 이메일 비믿번호를 입력하세요 나들 기억해줘 Forgot password?

Page Load Overview

0.49s
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
4142.250.154.94Google · CDNUnited States
AS15169Google LLC
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1209.94.90.1United States
AS40680Protocol Labs
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D82936B24F720516A93E4BC3BAF53053265E0039A09CD287F9C53498F46B99ACB37DD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:vJ+U3RWl0Kikc+3eVPH1hPRHa4sx8utqqnA65Fk619uY/cQ5uG9Rk4HyfAy+ylJh:vIGaFmIofsiJ6eGCIdrfkAs3b

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19151:iwsKFCpQAQFEmRAAwCKMRRk6KSAwk1aSOLGIVWxXDv2DTIQCUUACMtJiAAIOEAyRJKFSxAKGAQYEFGgUoFMiyCIlAIEsGKsy

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:070000001c0

Other Hashes

Crop Resistant:32b2b24c300c0000

Scan History

Scan history not available

Unable to load historical scan data