Security Scan Report: gmail-account.vercel.app

Submitted: Sep 28, 2026, 6:50:49 AMCompleted: Sep 28, 2026, 6:51:22 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Fake Google sign-in hosted on vercel.app that harvests entered credentials ('Your credentials have been recorded'). Do not enter any email or password; report and block.

Risk Factors (5)
Brand impersonation of Google on a non-Google domain
Password-capturing login form harvesting credentials
Explicit admission of credential recording on the page
Phishing threat-intel report on the primary domain
Unranked domain with no legitimate reputation
Domain age information unavailable

Details

Page Title

Sign in – Google Accounts

Scan Type

public

Domain Name Analysis

The domain 'gmail-account.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'gmail-account'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gmail-account.vercel.app/

Page Load Overview

0.35s
Total Load Time
82 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:976 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content46% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
46%
social media network
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1142.251.127.94Google · CDNUnited States
AS15169Google LLC
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
54--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106C2A4B371B41431744BC6AD32E2878B3665B007BD46D2A93AAC31548FCDED56923AFC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:AaBUXVhTamkhBd13JTgCqOUDOVqnu5pU6PpbdiswK7gXCjytgrV+:AaBihTa1tzhqE/4X+B+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27225:KQBGsJGMkUUMFYBSgkoIgroqTCSAygJENkpHjAs1KCiEsMkAaopBAYghBUFaqSEihDEBXtWtiHsQCAQjGmPKGSmA1UCFMARR

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:00183c3c18100800
Perceptual Hash:cc99336699996699
Difference Hash:0010223230241800
Wavelet Hash:243c3c3c1b13070f
Color Hash:#c1e06c

Other Hashes

Crop Resistant:0010223230241800

Scan History

Scan history not available

Unable to load historical scan data