Security Scan Report: startupcity-bizai.vercel.app

Redirected to:
https://startupcity-bizai.vercel.app/onboarding
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 3 domains to perform 9 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://startupcity-bizai.vercel.app/onboarding.html

Effective URL:
https://startupcity-bizai.vercel.app/onboarding
Redirected

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Agency onboarding questionnaire on a free vercel.app subdomain. Self-branded, no password or payment fields, no Indicators of Compromise or malware; content is a normal client-intake form. Minor caution only for unknown site age.

Risk Factors (1)
Subdomain on a free hosting platform with unknown creation date (could be recent)
Safety Factors (5)
Self-branding matches the domain — no impersonation of a different brand
No password, disguised-password or payment fields; no credential harvesting
Form submissions go to a legitimate form-backend service (formsubmit.co) with a business email address
No Indicators of Compromise, no JavaScript malware patterns, no malicious kit roster match
Content describes an agency onboarding workflow (addresses, DNS, ad budget) rather than account or payment capture
Domain age information unavailable

Details

Page Title

Onboarding Form · Startup City × BIZ AI

Scan Type

public

Domain Name Analysis

The domain 'startupcity-bizai.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'startupcity-bizai'. Count 6 characters in 'vercel' with 2 vowels and four consonants. Segmentation suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://startupcity-bizai.vercel.app/onboarding.html

Page Load Overview

0.37s
Total Load Time
205 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,920 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business52% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
52%
healthcare medical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
95--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T145C2D721A0F44436912744D25B97AB6A3FD04137ED029184F2EE99758FEFCC1FE235A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3+8Kx/OtuvW9G5J/B2PzDoJnmpIID5YpywGKnm4besMMxBpB03kM4/eI0V:Sx2QvWc5ZB2PzAQI9krKvnpB0UMN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26078:CEBAKWBAIAh8CuZgSYCADPXYKgBQgzVBYENAmB4QCBFUMgKQQaBwWEhTBXACDoiqSVGYKRHIAFHEgBLAAFIQ2FTMxRQAghhi

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:000007ffffffffff
Perceptual Hash:a82e2e29f1d1d939
Difference Hash:ef671f1496901810
Wavelet Hash:000000c3cfdfdfff
Color Hash:070000001c0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data