Security Scan Report: welcome-back-nine.vercel.app

Submitted: Completed: publiccompleted
This website contacted 12 IPs in 1 country across 6 domains to perform 13 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://welcome-back-nine.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake Microsoft sign-in page on a vercel.app subdomain that collects email and password via a 'Verify'/'Update your information' form. Brand impersonation plus credential harvesting — clear phishing.

Risk Factors (5)
Impersonation of Microsoft's login brand on a non-Microsoft domain
Credential collection form with password field on a free hosting subdomain
'Update your information' / 'Verify' phrasing typical of phishing lures
Unknown-age subdomain on a shared hosting platform, unranked in Cisco Umbrella
Cross-origin IP lookup (api.ipify.org) and Supabase backend used for victim data handling
Domain age information unavailable

Details

Page Title

Welcome Back!

Scan Type

public

Domain Name Analysis

The domain name 'welcome-back-nine.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'welcome-back-nine'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Segmentation suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://welcome-back-nine.vercel.app/

Page Load Overview

2.61s
Total Load Time
640 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:280 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking60% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
60%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1172.64.149.246Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.38.10Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1312--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F3D2E82975B204390C97D5FFE3E66A1834259183CD1BD564F96C83246FE3EA29CE7388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:dvhnBhQ+WbQRFgmL4v0NkMu/A9vJsmBsWZ37dQu12sx0OTqly:NhBhhFVNkMu/A9vJsmBsWZ37dQI2sx0M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28880:sSSltDMpABPajQAZJQutoIQhIEVmUXgHhKZqABAmpAcEiBxggRRJTUA5PDaoSJhCTOhAysEoIGJASkn3cwIyJBqAkkYSeAEJ

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:0030393b2727777f
Perceptual Hash:a759dc3633d93222
Difference Hash:8ce2d2d3cdcfe6e6
Wavelet Hash:0020393b273f377f
Color Hash:#40acbf

Other Hashes

Crop Resistant:8ce2d2d3cdcfe6e6

Scan History

Scan history not available

Unable to load historical scan data