Security Scan Report: glasklow.vercel.app

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Submitted: Jul 11, 2026, 6:51:49 PMCompleted: Jul 11, 2026, 6:52:57 PMpubliccompleted
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Summary

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

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

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

The site impersonates the Ecount WebMail brand and harvests credentials on an unknown‑age Vercel subdomain, indicating a high‑risk phishing page.

Risk Factors
Credential collection on a subdomain unrelated to the claimed brand
Unknown subdomain age on a generic hosting platform
Domain age information unavailable

Details

Page Title

Ecount WebMail - Login

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

documentation technical

(62%)

Domain Information

The domain name 'glasklow.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'glasklow'. Its registrable label 'vercel' stretches across 6 characters split between 2 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

0.90s
Total Load Time
8
HTTP Requests
4
Domains
369 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
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
43%
government public service
27%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.67United States
AS16509Amazon.com, Inc.
118.66.102.84Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
118.66.102.103Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
143.200.46.3Aws · CLOUDIncheon, Incheon, South Korea
AS16509Amazon.com, Inc.
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
118.66.102.7Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
86--

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:00214e124d0c3000
Wavelet Hash:3f3f060606060f0f
Color Hash:#c59b87

Other Hashes

Crop Resistant:00214e124d0c3000

Scan History

Scan history not available

Unable to load historical scan data