Security Scan Report: itaca-git-staging-proditaca-1485s-projects.vercel.app

Redirected to:
https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fi...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 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://itaca-git-staging-proditaca-1485s-projects.vercel.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

A Vercel protected-deployment gate redirecting to Vercel's genuine login on vercel.com. Self-branded, no impersonation, no compromise indicators, no harvesting behaviour observed.

Safety Factors (3)
Redirect terminates on the platform's official domain (vercel.com) with a valid SSO continuation nonce, which is the expected behaviour for a protected deployment.
No credential-harvesting pattern: authentication is delegated to OAuth providers / platform SSO rather than submitted to an unrelated third party.
No indicators of compromise, malware scripts, or known phishing kits found in the scan.
Domain age information unavailable

Details

Page Title

Login – Vercel

Scan Type

public

Domain Name Analysis

You're looking at domain 'itaca-git-staging-proditaca-1485s-projects.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'itaca-git-staging-proditaca-1485s-projects'. The second-level label 'vercel' is 6 characters long with two vowels and four consonants. Splitting it apart reveals 2 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://itaca-git-staging-proditaca-1485s-projects.vercel.app/

Page Load Overview

3.55s
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
2064.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1464.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
14142.251.127.84Google · CDNUnited States
AS15169Google LLC
1464.239.109.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1434.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
14216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1464.239.123.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
14142.251.20.102Google · CDNUnited States
AS15169Google LLC
1464.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1329--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140747128B105ED69ECEB6C4F227DAC3B264EA173DD82ECB5E4D8C91541C6075A792FC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vQx887GObT0qLmQcuG7quQb74NiNU6bPMfemQONiVU6ZPMj5tQheu:vQxUJZvQhL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:346510:wBBBSPdiIGCUDVAaFQIDCFoCAmAvRag5jSfjwRgkKoAMAEiIdgKSgBOgNA6MiUIArKUGM0wShAAFKEhg1ULAIhugRCJEJoh0

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:#d279cc

Other Hashes

Crop Resistant:80284d4c080c0800

Scan History

Scan history not available

Unable to load historical scan data