Security Scan Report: metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 2 countries across 21 domains to perform 514 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/metamask-connect/solana

AI Security Verdict

Low Risk

Confidence: 62%

3
Risk Score

MetaMask/Consensys developer docs on a Vercel preview subdomain. No credential or payment forms, no Indicators of Compromise, no hunting rule or Safe Browsing hits. Risk stems only from unverifiable subdomain age, a circular redirect and a generic abused-hosting IDS tag.

Risk Factors (3)
Page lives on a shared Vercel subdomain whose actual creation date is unknown; subdomain could be recent and its age cannot be verified.
Circular redirect detected on the capture, which can indicate broken routing or, less often, deliberate navigation manipulation.
Domain is not ranked in Cisco Umbrella top 1M — a weak prior only, not evidence of wrongdoing.
Safety Factors (5)
Content is technical developer documentation about an SDK (MetaMask Connect Solana), consistent with a legitimate documentation preview build.
No credential, login, or payment fields present; the only form is an AI question/search input.
No Indicators of Compromise, no hunting rule malware matches, no Google Safe Browsing warning, and no credential exfiltration detected.
Third-party script hosts are all top-1M ranked analytics/tag services (HubSpot, Segment, LaunchDarkly, jsDelivr, Google Analytics).
Verdict names no specific threat, and DOM analysis found no password field (real or disguised) or payment field and no other hard signal — elevated score unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

MetaMask Connect Solana - Solana Dapp Integration | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain 'metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-keec0mi8n-consensys-ddffed67'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus four consonants. Word splitting yields two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/metamask-connect/solana

Page Load Overview

12.20s
Total Load Time
4.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,591 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
73%
cryptocurrency blockchain
67%
documentation technical
51%
finance banking
46%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
15104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1564.239.109.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
15142.251.13.97Google · CDNUnited States
AS15169Google LLC
15146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
153.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
15104.16.138.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
15104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
51434--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7B395399150487E29226BD79D5EA3E8E017724ED230D678F3BD4B39AF41F909126CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:XoL/H58assRqqSa90GrikUOz7nVeueBeeePCLV/:XoLP58assZi/V/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116886:KACpwgCCHJCFACBgSQzTpEQGIAgPpABvODjE0aiEDA6Ekk4BghHYKEQJ20QKABuhUCJKADBimwAAUkABBDkgCBEIALq6hknJ

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:00df87c78383ff83
Perceptual Hash:bc80d72875c37d38
Difference Hash:b0b136a62626262e
Wavelet Hash:001fc7c7c383ff82
Color Hash:#8479d2

Other Hashes

Crop Resistant:b0b136a62626262e

Scan History

Scan history not available

Unable to load historical scan data