Security Scan Report: members-app-git-claude-festive-gauss-f6rx0u-parledevs-projects.vercel.app

Redirected to:
https://vercel.com/login?next=%2Fsso-api%3Furl%3Dhttps%253A%252F%252Fm...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 10 IPs in 1 country across 7 domains to perform 129 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://members-app-git-claude-festive-gauss-f6rx0u-parledevs-projects.vercel.app/

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

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Redirect resolves to Vercel's own vercel.com login/SSO gate protecting a preview deployment; no impersonation, no credential harvesting and no malicious content signals were found.

Safety Factors (4)
Final destination is the brand's official domain, vercel.com, with a normal /login path and SSO continuation parameter.
Authentication is delegated to standard identity providers (Google, GitHub, SAML SSO, Passkey) rather than a custom credential-harvesting form.
No malware, phishing or content-related Indicators of Compromise, and no obfuscated or exfiltrating JavaScript.
Zero forms, password fields, payment fields or cross-origin credential submissions attributed to the scanned site.
Domain age information unavailable

Details

Page Title

Login – Vercel

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'members-app-git-claude-festive-gauss-f6rx0u-parledevs-projects.vercel.app' is registered; it also runs on subdomain 'members-app-git-claude-festive-gauss-f6rx0u-parledevs-projects'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://members-app-git-claude-festive-gauss-f6rx0u-parledevs-projects.vercel.app/

Page Load Overview

2.53s
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
2164.239.109.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12142.251.127.84Google · CDNUnited States
AS15169Google LLC
1264.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1234.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1264.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1264.239.123.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1264.239.109.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12142.251.13.102Google · CDNUnited States
AS15169Google LLC
12910--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1748329E105ED69ECEB6C4F227DAC3B264EA1B3DD81ECB4D4D8C91941C6075A792FC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:pQST85OFTg32MQV8X79viE7Orijq6vJMNsMQurinq6PJMdP/QXeu:pQSY4FXQXL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:346430:GA6DJkMoICAJEMDGAAGQi1RIBCDU4KQRzRFRGyZwRkogOkmIaBIohpggAAAVj8oItBIhkhgaujALAN0CUUlAE6CAjQEDoFux

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:#4e1f93

Other Hashes

Crop Resistant:80284d4c080c0800

Scan History

Scan history not available

Unable to load historical scan data