Security Scan Report: glasklow.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 4 domains to perform 8 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://glasklow.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

Cloned 'Ecount WebMail' login page hosted on an unrelated vercel.app subdomain, collecting email and password. Google Safe Browsing flags it for social engineering and threat intelligence reports it as phishing. Do not enter credentials.

Risk Factors (5)
Impersonation of the Ecount brand on a non-Ecount, unranked hosting subdomain
Credential-harvesting login form (password field present) on an unrelated domain
Google Safe Browsing Social Engineering detection
Primary-domain threat-intelligence match for phishing
Shared .vercel.app tenant with unknown actual creation date; IDS alerts note the platform is commonly abused for this purpose
Domain age information unavailable

Details

Page Title

Ecount WebMail - Login

Scan Type

public

Domain Name Analysis

You're looking at domain 'glasklow.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'glasklow'. The second-level label 'vercel' is 6 characters long split between two vowels and 4 consonants. It segments into 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

EFFICIENT CHANGE ECOUWNT WEBMAIL 00 바로가기생성 & Email @ 비믿번호 전화상담요정 O _...

Page Load Overview

1.06s
Total Load Time
383 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Text Length:888 chars
Detector Agreement:60%

All Detected Languages

🇺🇸en(78%)🇰🇷ko(16%)🇮🇩id(6%)

Website Classification

Primary Category

documentation technical62% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
62%
technology software
60%
finance banking
44%
government public service
27%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
118.66.102.103Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1151.101.129.155Fastly · CDNUnited States
AS54113Fastly, Inc.
143.200.46.3Aws · CLOUDIncheon, Incheon, South Korea
AS16509Amazon.com, Inc.
118.66.102.84Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
87--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4A2B650A4F91573055381E939A2F6193DA2D117CB0ADE04BAEC4BEA6FC3F828D0779D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:NYD+7Nca26dSpzZIg5eZ9BV9Qq3y3bS3gOv+8qr1hW6bjcIZ/96:NI1a26dS5ZIg52VR3HyrJAZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21528:EJwoA0gIDRhMcEMAE4Dm2eRQEEwpiQKMMRVFAk4VQKFbIsBSEJIxJyACQ4kABQgCCAgInBB6AqA4UwaQQBo8ieiGQC46z7FY

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:ffffe6fee7e7ffff
Perceptual Hash:f755882276dd5522
Difference Hash:00214c104c0c3000
Wavelet Hash:f0f0c0c0e2e2f3f3
Color Hash:070000001c0

Other Hashes

Crop Resistant:00214c104c0c3000

Scan History

Scan history not available

Unable to load historical scan data