Security Scan Report: agilova-portal-git-fix-fin-out-01b-broker-wallet-dubisign.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 137 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://agilova-portal-git-fix-fin-out-01b-broker-wallet-dubisign.vercel.app/

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

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Redirect ends on Vercel's genuine vercel.com login/SSO gate; no malware, phishing or threat-intel hits. The underlying preview subdomain's content is unverified and its wallet-themed name warrants mild caution.

Risk Factors (1)
Disposable vercel.app preview subdomain whose branch-style name references 'broker-wallet', a naming pattern often used as a lure for crypto/finance phishing, with its actual content hidden behind Vercel's access gate and therefore unverified
Safety Factors (4)
Final destination is vercel.com, Vercel's own official domain, under a redirect landing on the brand owner rather than a look-alike
Vercel's own login/SSO gate — platform authentication, not a site-collected credential form
No threat-intelligence Indicators of Compromise, no hunting rule malware matches, no Safe Browsing hit, no credential exfiltration
IDC alerts are generic cloud-hosting abuse context (MEDIUM, misc activity), not page-specific phishing or malware detections
Domain age information unavailable

Details

Page Title

Login – Vercel

Scan Type

public

Domain Name Analysis

The domain name 'agilova-portal-git-fix-fin-out-01b-broker-wallet-dubisign.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'agilova-portal-git-fix-fin-out-01b-broker-wallet-dubisign'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at three characters. 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

4.17s
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
2364.239.123.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19142.251.127.84Google · CDNUnited States
AS15169Google LLC
1964.239.123.193Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1934.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1964.239.109.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1964.239.109.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1377--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186748228A105ED7DECEB6C4F267DAC3B254EA173DD82E8B5E4E8C91541C6075A782FC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:QQD2k3OYTFwQVQU3o7E64W7uiiJx6tIM37VQHiixx68IMbcuQ8et:QQ6GkmLQ8W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:348619:kGwaCkAAITGvJNAmCQaQCKxeAdArGIAGsUBEYooAMwEKdS6ZIBCagAhQBEAAvYozBDRxMwsMEjDZuhSAAgtlfEmgTQsIYV1Y

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