Security Scan Report: fourth-nu.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 14 IPs in 2 countries across 8 domains to perform 120 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://fourth-nu.vercel.app/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Content-rich own-brand design studio site on a vercel.app subdomain with no forms, no impersonation, no malware or threat-intel hits; generic cloud-hosting IDS tags add no content risk.

Risk Factors (1)
Served from a vercel.app subdomain whose actual creation date is unknown (platform age does not apply to this tenant) and the domain is unranked — weak prior only, no malicious behaviour observed
Safety Factors (5)
No forms, login, password or payment fields of any kind
No brand impersonation; own-brand site with contact emails on its own fourth.design domain
No Indicators of Compromise, no malware hunting-rule hits, no malicious JavaScript behaviour
Substantive multi-section content with legal pages (privacy/cookie policies) and named client work
Only third-party hosts are common analytics/CDN services (Google Analytics, Clarity, Sanity CDN, CookieYes)
Domain age information unavailable

Details

Page Title

Fourth

Scan Type

public

Domain Name Analysis

The domain 'fourth-nu.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'fourth-nu'. The second-level label 'vercel' is 6 characters long split between 2 vowels and 4 consonants. It segments into two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Ey 2 Approach Us About FOURTH [Retail dimension of Ath

Page Load Overview

1.74s
Total Load Time
9.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,553 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical78% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
78%
news media journalism
78%
government public service
71%
adult content
50%
real estate property
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1664.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
864.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8142.251.14.97Google · CDNUnited States
AS15169Google LLC
834.149.250.58Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8216.239.34.36Google · CDNUnited States
AS15169Google LLC
8104.18.18.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
820.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
8150.171.109.106Azure · CLOUDUnited States
AS8075Microsoft Corporation
852.159.82.83Azure · CLOUDChicago, Illinois, United States
AS8075Microsoft Corporation
8216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
12014--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11164B8B0D225EC13D85B2047703EEEDC5095415DD3898F6A62CC9B021AFB8779B935FA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ivEpudaNGJk11wDba++E6yFG552ijssnUXmoeeV3qboeuboelboerXkk2boedbol:oEp8XNV6C5fXkNJYbSt5dsMxNdsLZp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:334663:kgZYUUAhBkFUbgHAwALRGMggVAA0ghke4BgEC2BpSoggUiBgBSUNCRKMSGlNNmMHKCEEAQYAz2QlmIKMRgwCKVwSglEFoBmQ

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:ffffffc0c0466040
Perceptual Hash:f08f824e719b9c47
Difference Hash:c806001e8694cd9c
Wavelet Hash:ffffffc0c0026040
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data