Security Scan Report: edilizia-app-git-docs-stripe-no-vat-vera-c3ef9134.vercel.app

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

Submitted URL: https://edilizia-app-git-docs-stripe-no-vat-vera-c3ef9134.vercel.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Vercel's own deployment-protection login on vercel.com, reached by redirect from a vercel.app preview deployment. No impersonation, no exfiltration, and no threat-intel, YARA or IDS malware/phishing evidence.

Safety Factors (5)
Final destination is vercel.com, the legitimate brand owner of the vercel.app namespace
Access gate is Vercel's own SSO/login page served from its official domain
No forms other than the platform's own login; no payment fields, no disguised password fields, no unicode confusion
No Indicators of Compromise, YARA, IDS phishing/malware, or JavaScript credential-exfiltration signals
Hostname is an ordinary developer-generated git branch/deployment preview name
Domain age information unavailable

Details

Page Title

Login – Vercel

Scan Type

public

Domain Name Analysis

The domain name 'edilizia-app-git-docs-stripe-no-vat-vera-c3ef9134.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'edilizia-app-git-docs-stripe-no-vat-vera-c3ef9134'. The second-level label 'vercel' is 6 characters long split between 2 vowels and 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

Security scan screenshot of https://edilizia-app-git-docs-stripe-no-vat-vera-c3ef9134.vercel.app/

Page Load Overview

2.32s
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
2464.239.109.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1864.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18142.251.127.84Google · CDNUnited States
AS15169Google LLC
1864.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1834.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1864.239.123.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18142.251.110.100Google · CDNUnited States
AS15169Google LLC
1327--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA747128B105ED69ECEB6C4F227DAC3B264EA173DD82ECB5E4D8C91541C6075A792FC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1Qx883GOdT0q3mQcuG7quQb7cNiNU6bPMfemQONiVU6ZPMjHtQheu:1Qxo3ZNQhL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:346534:ggBY6i2ADIIRExe/CbctTAARkoAeQKkBCBBgiYWUAqBEBABQmdUpiI6GwAFyIWnmgiQASUAClCAEoBRbABsMIyKmfhNuG4gA

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:#693a78

Other Hashes

Crop Resistant:80284d4c080c0800

Scan History

Scan history not available

Unable to load historical scan data