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Security Scan Report: metamask-docs-fbv47wj26-consensys-ddffed67.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/d9e1cc55-8b6c-4775-b1f0-476e34145d34Domain and IP registration (RDAP)/api/v1/rdap/d9e1cc55-8b6c-4775-b1f0-476e34145d34How often this domain was scanned/api/v1/domain/stats/metamask-docs-fbv47wj26-consensys-ddffed67.vercel.appScan history for this domain/api/v1/domain/history/metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app?limit=15
This website contacted 37 IPs in 2 countries across 21 domains to perform 507 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets/sdk/node

AI Security Verdict

Confirmed Scam

Confidence: 85%

9
Risk Score

Domain flagged by multiple single-source phishing feeds; page is MetaMask docs on Vercel preview with no credential forms. IoC matches and IDS alerts drive CONFIRMED_SCAM per auto-escalation.

Risk Factors (5)
Threat-intel phishing reports on primary domain and multiple URLs
IDS alerts for actor-abused cloud hosting service (vercel.app)
Domain unranked in Cisco Umbrella
Subdomain on shared hosting platform with unknown creation date
Circular redirect signal
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for Node.js | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. It segments into two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app/embedded-wallets/sdk/node

Page Load Overview

2.45s
Total Load Time
5.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,019 chars
Detector Agreement:60%

Website Classification

Primary Category

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

All Detected Categories

technology software
73%
documentation technical
69%
cryptocurrency blockchain
62%
corporate
35%
education learning
31%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3964.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1364.239.109.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13142.251.14.97Google · CDNUnited States
AS15169Google LLC
13146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
133.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13104.16.140.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
50737--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T110048575C1E0087B00F35FC799AA53A8A6A3624EC2118B70F3BDC7B96F88D567453897

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:TP58zGs07HPDrPD0PDKPDk1hPD0PD4ecPDw3lPDU32/PDYMDIlnM0Vvm0MjEdM0Y:bPssHPDrPD0PDKPDk1hPD0PD4ecPDw37

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:176880:UIxEEGmWqBgO4kEQDBgA/aSUMgAIwQQXPqCFp8VJVC6JBLAJSgEi1w0UmAmhEAgIxzi4Qp2AgCE4geBAKEAxFdDjBIgQAPrJ

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:048f030d1f8f8f9e
Perceptual Hash:b82257f3456a252f
Difference Hash:ccb9bdbdb0383830
Wavelet Hash:000f031f1f8fcf9e
Color Hash:#3a784b

Other Hashes

Crop Resistant:ccb9bdbdb0383830

Scan History

Scan history not available

Unable to load historical scan data