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

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Submitted: Completed: publiccompleted
This website contacted 37 IPs in 3 countries across 21 domains to perform 652 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react-native

AI Security Verdict

High Risk

Confidence: 68%

7
Risk Score

Threat intel flags this Vercel-hosted MetaMask docs lookalike as phishing; content reads like genuine SDK docs with no credential form, but brand-on-wrong-host plus repeat phishing reports warrant avoiding it.

Risk Factors (4)
Multiple phishing threat-intel submissions against the primary domain and URLs on it
MetaMask brand documentation served from a lookalike hostname on a free hosting platform rather than the official domain
Unranked domain with no independent reputation
IDS alerts referencing abuse of the vercel.app cloud hosting service
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for React Native | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

The domain name 'metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'metamask-docs-keec0mi8n-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters holding two vowels versus 4 consonants. It segments into 2 words: ver, cel. Expect three 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/embedded-wallets/sdk/react-native

Page Load Overview

20.72s
Total Load Time
3.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:13,796 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
72%
cryptocurrency blockchain
66%
documentation technical
42%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1764.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17142.251.20.97Google · CDNUnited States
AS15169Google LLC
1764.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
173.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.16.138.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.17.175.201Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
65237--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T135346276C2E1147B00F34EC7D5EA5368A6E3629DD2118B20A3BCC7B96F88D5974938D3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:w+snuPDIPD/PDNPDaPDqPDRPD3PDwPDDPDwPDyPDUPDsPD9WPDJDPDWPDkPDnWPO:LsnuPDIPD/PDNPDaPDqPDRPD3PDwPDDq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:238051:wgthoAEkIcCrxAF7DQEDkYEsOBaCaDAAsZAy0KpBOJCGicKAQgFKagSwhTJoIOHkIIkBY/gZAYQT5kCDQEKgRokDZxgABCKH

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:000f039f9edfc39e
Perceptual Hash:b823654a5d6d5f28
Difference Hash:a0a9bf35b9b1b73e
Wavelet Hash:0007039f1cdf8fde
Color Hash:#2dd24e

Other Hashes

Crop Resistant:a0a9bf35b9b1b73e

Scan History

Scan history not available

Unable to load historical scan data