Security Scan Report: one-y3.vercel.app

Submitted: Dec 8, 2025, 1:19:36 AMCompleted: Dec 8, 2025, 1:20:02 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is one-y3.vercel.app and was registered NaN years ago.

Submitted URL: https://one-y3.vercel.app/[email protected]

AI Security Verdict

High Risk

Confidence: 90%

8
Risk Score

Phishing page impersonating Roundcube Webmail; do not enter credentials.

Risk Factors
Credential harvesting login form
Brand impersonation on an untrusted Vercel subdomain
Unranked domain presenting a well‑known service
Domain age information unavailable

Details

Page Title

Confirm your login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(49%)

Domain Information

The domain name 'one-y3.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'one-y3'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Splitting it apart reveals two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://one-y3.vercel.app/index.html?cms=malone@sekure.net

Page Load Overview

3.15s
Total Load Time
2
HTTP Requests
2
Domains
282 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:84 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism49% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
49%
cryptocurrency blockchain
46%
healthcare medical
41%
government public service
40%
technology software
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195United States
AS16509AMAZON-02
0104.17.24.14United States
AS13335CLOUDFLARENET
02606:4700::6811:180eUnited States
AS13335CLOUDFLARENET
02606:4700::6811:190eUnited States
AS13335CLOUDFLARENET
0104.17.25.14United States
AS13335CLOUDFLARENET
0216.198.79.195United States
AS16509AMAZON-02
26--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14FA1F7324E9B3D3F0C325AF2BA652F512C9DB683C19105949AB05EF773CADC056882E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:7+XrtE1qJ9Vd7oK+iedNGEjVDsVyhB2YhydJIr3/ifTZ:ai1qxdUiUBjRsVyhBbiTZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4893:BAxQCBAEECgQCElQBCAgoAIEAagpAYDBxAASAWAkCIBSCKEIEIDgABKIAiACAASCADBAIABIhAIc4BAgKDBQYBAyqAgARABD

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:ffe7e7e7e7ffffff
Perceptual Hash:b333cccc263399cc
Difference Hash:0008080c0c000000
Wavelet Hash:3c242424273f3f3f
Color Hash:#40bf80

Other Hashes

Crop Resistant:0008080c0c000000

Scan History

Scan history not available

Unable to load historical scan data