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Security Scan Report: lanza-nine.vercel.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/888664a9-b39a-4dc4-856c-0eb91ccef6f8Domain and IP registration (RDAP)/api/v1/rdap/888664a9-b39a-4dc4-856c-0eb91ccef6f8How often this domain was scanned/api/v1/domain/stats/lanza-nine.vercel.appScan history for this domain/api/v1/domain/history/lanza-nine.vercel.app?limit=15
This website contacted 4 IPs in 2 countries across 2 domains to perform 68 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://lanza-nine.vercel.app/en/c/diamonds

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Self-branded diamond listings page on a free vercel.app subdomain with no forms, no credential/payment collection and no threat-intel or malware hits; only weak reputation prior, so low risk.

Safety Factors (4)
Marketplace explicitly states it is a listings platform and not party to buyer-seller payments
No credential or payment collection anywhere on the captured page
Clean threat intelligence and JavaScript malware results
Page content is consistent with the stated purpose (diamond listings with AED prices and GIA reference)
Domain age information unavailable

Details

Page Title

Loose Diamonds & Certified Stones in Dubai | Kanzae | Lanza

Scan Type

public

Domain Name Analysis

The domain 'lanza-nine.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'lanza-nine'. The second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. It segments into 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

LANZA Browse Rates Lanza Loose Diamonds & Stones listing Diamond cut Diamond cut Diamond cut Round Oval Emerald from AED 34,500 No listings yet No listings yet All | | Dubal || AbuDhabi || Sharja...

Page Load Overview

4.07s
Total Load Time
947 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:931 chars
Detector Agreement:60%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1764.29.17.131Aws · CLOUDUnited States
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17216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17146.75.122.208Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1764.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
684--

Detected Technologies6

Webpack
50%
React
50%
Node.js
50%
Vercel
40%
Next.js
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131F274617003DD5EF82BEE99227DAF3DA0CD827BC9459D78D1EDD9210282D786B86CC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:cRQu3j/Pa2egNZQRwvuTQRjCryJLDjv9/ZGyaNiF0PKWL1ZA:ctLGTU8niF0hTA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:37235:2BKJFyJEQGAgMurhvAACkiEMGiB4kgSgYggVEYIYBAQgUbBoWiuFlUXApEcEAEsEVJ/DhORgDLAtQGdAiJDA0uTUw1lBBCTC

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:00606c2c60606000
Perceptual Hash:c31e3c633cc3c3e1
Difference Hash:cdc1d5d1c9c9c8b5
Wavelet Hash:00607c7c60617fff
Color Hash:N/A

Other Hashes

Crop Resistant:b83858d8c8c0700c,983850d8c8c0701c,cdc1d5d1c9c9c8b5

Scan History

Scan history not available

Unable to load historical scan data