Security Scan Report: www.verifs-roundcuze.vercel.app

Redirected to:
https://verifs-roundcuze.vercel.app/vZ448QlditedLDtZGEpqBA19ps5rZ4xWS4...
Submitted: Sep 2, 2026, 1:45:20 PMCompleted: Sep 2, 2026, 1:47:48 PMpubliccompleted

Summary

This website contacted 6 IPs in 1 country across 5 domains to perform 1 HTTP transaction. The main domain is verifs-roundcuze.vercel.app and was registered 23 years ago.

Submitted URL: http://www.verifs-roundcuze.vercel.app/

Effective URL:

https://verifs-roundcuze.vercel.app/vZ448QlditedLDtZGEpqBA19ps5rZ4xWS4...
Redirected

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

The page hosts a generic webmail login on an unknown‑age, unranked Vercel subdomain, indicating moderate risk of credential phishing.

Risk Factors
Credential form on unknown‑age, unranked subdomain
Potential brand impersonation (generic "Webmail" mimicking legitimate service)
External network request from form page
Domain age information unavailable

Details

Page Title

Webmail

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(43%)

Domain Information

You're looking at domain 'www.verifs-roundcuze.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'www.verifs-roundcuze'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.verifs-roundcuze.vercel.app/

Page Load Overview

1.18s
Total Load Time
7
HTTP Requests
5
Domains
66 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:599 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software43% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
43%
documentation technical
42%
government public service
31%
phishing scam
30%
adult content
28%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.217.208.95Google · CDNUnited States
AS15169Google LLC
1216.198.79.131United States
AS16509Amazon.com, Inc.
1104.26.12.192Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
164.29.17.131United States
AS16509Amazon.com, Inc.
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
76--

Page Statistics

7
Requests
5
Unique Domains
70.8 KB
Total Size

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15871419AA0E3581553D3106A9B9771183036921B3D06EC187F4C8218DF69F5FD9E7BEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:2ONiNfvxYoR6dKSBcdcMC2HGASMMso2TencW1evfppOVAoQ1CT7pUz5JC/LBGxXY:AZYooexzGpMft0e3psVga7ez5SLYyUi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3592:AAEoYSBCAIQgiQECBJmAAAIEAigCAAAQkQMIIQAAxAwpBBQEwiACAAIACwgAABEBBBAAIABAAjAAUJJAhAgJQAIDBAgyAxEU

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:e7c3c3f7ffffffff
Perceptual Hash:b33366ccccccc931
Difference Hash:4c4d4d0c30080000
Wavelet Hash:c4c4c4e40f0f0f0f
Color Hash:#78423a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data