Security Scan Report: af-booking-git-m5-staff-calendars-alpha-fyzio.vercel.app

Redirected to:
https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fa...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 5 domains to perform 132 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://af-booking-git-m5-staff-calendars-alpha-fyzio.vercel.app/

Effective URL:
https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fa...
Redirected

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Protected Vercel preview deployment that redirects to Vercel's own login gate on vercel.com. No phishing, malware, or impersonation evidence; the site's content was not served, so nothing malicious was observed.

Safety Factors (4)
Final URL is Vercel's official login endpoint on vercel.com; the login form is the hosting platform's own access gate
No Indicators of Compromise, hunting-rule matches, or malicious kit signatures
No evidence of credential exfiltration or disguised form fields
Hostname follows the ordinary Vercel preview-deployment naming pattern (git branch / project slug)
Domain age information unavailable

Details

Page Title

Login – Vercel

Scan Type

public

Domain Name Analysis

Domain 'af-booking-git-m5-staff-calendars-alpha-fyzio.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'af-booking-git-m5-staff-calendars-alpha-fyzio'. The core label 'vercel' covers 6 characters holding two vowels versus 4 consonants. It segments into two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Log in to Vercel G Continue with Google © Continue with GitHub G Continue with ChatGPT & Continue with SAML SSO 24 Continue with Passkey Show other options Don't have an account? Sign Up Sign Up

Page Load Overview

3.01s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:255 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
68%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2464.239.123.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18142.251.127.84Google · CDNUnited States
AS15169Google LLC
1834.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1864.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1864.239.123.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1864.239.109.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1327--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T177747229A105ED7EECEB6C4F267DAC3B254EA173DD82E8B5E4D8C91541C2075A782FC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BQD2kKOwTFOqVQU3o7E64W7QiiJx6tIM37VQHiixx68IMbjuQ8eN:BQ6hEmqQ8U

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:348456:yKAACiRgvdNgAIjyKFYUMEyEQWDkEihVMFAEBcIoB3bbEAUm4JhqiQTDgEhIjOBCEKeiKBIAAoRBIRVAyFqjlAAE5CEMYGEI

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:ffffe7e7e7e7ffff
Perceptual Hash:b3268c88d9336677
Difference Hash:80284d4c080c0800
Wavelet Hash:60e0e0e0e3e3c7c7
Color Hash:N/A

Other Hashes

Crop Resistant:80284d4c080c0800

Scan History

Scan history not available

Unable to load historical scan data