Security Scan Report: metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 35 IPs in 4 countries across 22 domains to perform 1760 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/connect-blockchain/

AI Security Verdict

High Risk

Confidence: 72%

8
Risk Score

MetaMask-branded developer docs on an unofficial, unranked vercel.app subdomain with six single-source phishing reports and a circular redirect; no credential fields found on this page, but the host is flagged and the brand claim is not on an official domain.

Risk Factors (5)
Six phishing threat-intel reports against the primary domain and its subpaths (all single-source and unverified, but numerous and from dedicated phishing feeds)
MetaMask/Consensys brand documentation served from a non-official vercel.app deploy subdomain with an opaque hash-like name
Domain age not attributable — shared-hosting tenant could have been created minutes ago despite the platform apex dating to 2020
Circular redirect in the capture chain
IDS alerts for actor-abused cloud hosting service (generic platform-level signal, not page-specific)
Domain age information unavailable

Details

Page Title

Connecting Blockchains with Embedded Wallets | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

You're looking at domain 'metamask-docs-fbv47wj26-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-fbv47wj26-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to 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/connect-blockchain/

Page Load Overview

4.49s
Total Load Time
17.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,385 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
76%
cryptocurrency blockchain
74%
documentation technical
73%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
50104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5064.239.109.1Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
50142.251.14.97Google · CDNUnited States
AS15169Google LLC
5045.43.142.4United Kingdom
AS16276OVH SAS
50104.16.141.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
50146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
503.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
50172.64.147.16Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
176035--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FA146D3C915048BF2965BA97AA4EA3E8D40B734DC131D778E27A4A3EEE01F214557CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4/H58z/sdyOUSa90Gr7wUMz7y9v/Dlo1iaxw0:4P58z/sdY70w0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:197432:CANQIKICFBGKLCoJEgMGiKUUpkCARCDRuiSiwQCipSklAIUADCAIz64QgIrZUDBGg4goYSH5wBEGIUDEBagjEFlwGiCsnDBL

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:2c4783df8387cfde
Perceptual Hash:bc02d32355cb5e63
Difference Hash:c8ad37b62e363e3c
Wavelet Hash:0007c3c3839fcfde
Color Hash:#e06cd8

Other Hashes

Crop Resistant:c8ad37b62e363e3c

Scan History

Scan history not available

Unable to load historical scan data