Security Scan Report: ecountt.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 8 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://ecountt.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 88%

9
Risk Score

Clone of the Ecount WebMail login on a typosquat Vercel subdomain (ecountt), capturing email/password; phishing report and IDS abuse alerts corroborate. Do not enter credentials.

Risk Factors (5)
Brand impersonation: presents itself as Ecount's webmail portal on a non-official, typosquat-style subdomain ('ecountt')
Credential capture form (password field) on a free hosting-platform subdomain
Single-source phishing threat-intel report on the primary domain
IDS alerts for actor-abused cloud hosting service (vercel.app)
Subdomain creation date unknown; platform apex age is not attributable to this page
Domain age information unavailable

Details

Page Title

Ecount WebMail - Login

Scan Type

public

Domain Name Analysis

The domain name 'ecountt.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'ecountt'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. It segments into 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ecountt.vercel.app/

Page Load Overview

1.73s
Total Load Time
384 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Text Length:888 chars
Detector Agreement:100%

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
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
118.66.102.98Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
164.29.17.3Aws · 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.
88--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10DA2C650A4F91573055381E939A2F6193DA2D117CB0ADE04BAEC4BEA6FC3F428D0779D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:NYD+7Nca26dSpzZIg5eZ9BV9Qq3y3bS3gOv+8qr1hW6ecIZ/96:NI1a26dS5ZIg52VR3HyrJZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21516:BGApI1kSKTggtmuAAkCgi60YUJ44q0eAMhUvMkcCQIB7KoDIJJMJImACCYgaABECGRSBrAh6hYjAUkayJNNgQWzVAAG+QhVT

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:#e06c75

Other Hashes

Crop Resistant:00214c104c0c3000

Scan History

Scan history not available

Unable to load historical scan data