Security Scan Report: metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app

Submitted: Sep 8, 2026, 12:45:03 PMCompleted: Sep 8, 2026, 12:46:13 PMpubliccompleted

This website contacted 8 IPs in 1 country across 11 domains to perform 18 HTTP transactions. The main domain is metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react-native

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Page displays MetaMask branding on an unranked Vercel subdomain without credential collection, indicating moderate risk of brand impersonation.

Risk Factors (3)
Brand impersonation without credential collection
Unranked / low-reputation domain
Unknown subdomain creation date
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for React Native | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app' is registered; it also runs on subdomain 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67'. Count 6 characters in 'vercel' split between 2 vowels and four consonants. It segments into 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react-native

Page Load Overview

2.02s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:14,068 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
64%
cryptocurrency blockchain
49%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.239.123.1United States
AS16509Amazon.com, Inc.
218.245.31.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.198.79.67United States
AS16509Amazon.com, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.198.79.3United States
AS16509Amazon.com, Inc.
264.239.123.193United States
AS16509Amazon.com, Inc.
264.29.17.3United States
AS16509Amazon.com, Inc.
188--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15761AA73A311E82CA51747A4B982B0D8C3A6F31FD55D2C91B1EC079A27D4B6862B7A13

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:StcWxUeKeZEXE+XqLATWgGRAQeoewe8TcrN89W:sDDWfaLgWVitV8TcqW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3311:AIiUQIgIWAEAKIAAgBBAACAgFgwTgAUgQAIEIBAiAAAAaECAQACCAAAAAEiAIECIAEAACoAAEQAQCIEQEJgCgNAAAAQBiQRA

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:7fffdf3f3f3f3f3f
Perceptual Hash:83fcf4037c6d7803
Difference Hash:94a9adf7f9f1d7f6
Wavelet Hash:007f07031f1f1f1f
Color Hash:#79d298

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data