Security Scan Report: metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 2 countries across 21 domains to perform 517 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app/smart-accounts-kit/get-started/use-skills/

AI Security Verdict

High Risk

Confidence: 65%

7
Risk Score

MetaMask-branded developer documentation served from an unranked vercel.app subdomain that a single-source phishing feed has flagged; no credential or payment form present, so treat as untrusted mirror rather than confirmed phishing.

Risk Factors (5)
Phishing report (single-source OpenPhish) on the primary domain hosting this page
MetaMask/Consensys branding rendered on a non-official vercel.app subdomain with no visible disclosure that it is a preview copy
Unranked, shared-hosting subdomain with undeterminable creation date
Circular redirect in the redirect chain
Two MEDIUM Suricata alerts for actor-abused cloud hosting (vercel.app) in DNS and TLS SNI
Domain age information unavailable

Details

Page Title

Use skills | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

You're looking at domain 'metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-ctqr7yuof-consensys-ddffed67'. The second-level label 'vercel' is 6 characters long with two vowels and four consonants. Segmentation suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

eta En eta Products Smart Accounts Kit Version: latest (1.6.0) Introduction Get started Install and set up Smart account quickstart Use the CLI Use skills Use Scaffold-ETH 2 ‘Supported networks Su...

Page Load Overview

28.83s
Total Load Time
4.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,663 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
81%
cryptocurrency blockchain
77%
corporate
35%
education learning
33%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
15104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1564.239.123.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
15142.251.20.97Google · CDNUnited States
AS15169Google LLC
15104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
15146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
153.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15104.16.160.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
15104.18.40.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
15104.17.128.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
51734--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162C395399160487E14276BC7AD5AA3E8E147728EC635D2B4F3BD4B39EF41F9141238A3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:u/H58/Rns9+kSa90Gr6kUewYz7Z7LtPDzuKPDSNp:uP58/psv60PDdPDcp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:121681:3IQ5VwAACQ1EQQiM4RZkg3GS0DAcACVALwQABPIVQGEjYRAMEQAkiAgtg5CYSxZViJDEMgIXMZkIc6IACAAKnMIQGMMr2BLh

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:7fffff8383ffff83
Perceptual Hash:bccad2c27d82d392
Difference Hash:a0b3b02626dc2c36
Wavelet Hash:009f9f838387ff82
Color Hash:07000e00000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data