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

High Risk

Confidence: 80%

8
Risk Score

Login page styled as Ecount WebMail but hosted on unrelated unranked glasklow.vercel.app, capturing email and password — classic brand-impersonation credential phishing. Do not enter credentials.

Risk Factors (5)
Brand impersonation of a different entity (Ecount WebMail) hosted on a non-official, unranked vercel.app subdomain
Login form harvesting email + password credentials on an impersonating domain
Single-source threat-intel phishing report on the primary domain
IDS alerts flagging actor-abused cloud hosting (vercel.app) infrastructure
Unknown subdomain creation date on a shared hosting platform namespace
Domain age information unavailable

Details

Page Title

Ecount WebMail - Login

Scan Type

public

Domain Name Analysis

The domain name 'glasklow.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'glasklow'. Count 6 characters in 'vercel' split between two vowels and 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.53s
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: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
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
118.66.102.98Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
118.66.102.103Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
143.200.46.3Aws · CLOUDIncheon, Incheon, South Korea
AS16509Amazon.com, Inc.
87--

Detected Technologies7

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:03030000e6e6ffff
Color Hash:#4077bf

Other Hashes

Crop Resistant:00214c104c0c3000

Scan History

Scan history not available

Unable to load historical scan data