Security Scan Report: venetiansblinds-crm-git-claude-di-6fee4b-javierb-7796s-projects.vercel.app

Redirected to:
https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fv...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 1 country across 7 domains to perform 139 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://venetiansblinds-crm-git-claude-di-6fee4b-javierb-7796s-projects.vercel.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate Vercel login/access gate on official vercel.com; no malicious content, impersonation, or credential-exfiltration evidence detected.

Safety Factors (4)
Redirect ends on the official vercel.com domain
Vercel access-control gate belongs to the hosting platform
No phishing, malware, or credential-exfiltration indicators in the available evidence
Preview subdomain name does not spoof a brand or government entity
Domain age information unavailable

Details

Page Title

Login – Vercel

Scan Type

public

Domain Name Analysis

The domain 'venetiansblinds-crm-git-claude-di-6fee4b-javierb-7796s-projects.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'venetiansblinds-crm-git-claude-di-6fee4b-javierb-7796s-projects'. The core label 'vercel' covers 6 characters containing 2 vowels alongside 4 consonants. Word splitting yields two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://venetiansblinds-crm-git-claude-di-6fee4b-javierb-7796s-projects.vercel.app/

Page Load Overview

4.14s
Total Load Time
2.1 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
2264.239.123.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13142.251.127.84Google · CDNUnited States
AS15169Google LLC
1364.239.123.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1334.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
13216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1364.239.109.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1364.239.109.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13142.251.20.113Google · CDNUnited States
AS15169Google LLC
1364.239.109.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13910--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F747228A105ED6EEDEB6C4F227DAC3B254EA173DD82E8B5E4D8C91541C2075A7D2FC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:BQx887OvT8ePCQubv7MMaz7zpiuQ6PDMUcCQ2piUQ6TDMjSRQheY:BQxR4K2QhT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:348366:POTCg4A0Gp4IgehsJIHSKkmAGzKcAoDDA0k0AAgITFgoJABkfQyQPInxFCTAg8IgkBAocoIJgzDckQYxYDQ4ERLTS02Cp3US

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