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Security Scan Report: metamask-docs-45ta0ykbu-consensys-ddffed67.vercel.app

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Submitted: Jul 28, 2026, 1:45:47 PMCompleted: Jul 28, 2026, 1:50:00 PMpubliccompleted

Summary

This website contacted 4 IPs in 1 country across 13 domains to perform 2 HTTP transactions. The main domain is metamask-docs-45ta0ykbu-consensys-ddffed67.vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-45ta0ykbu-consensys-ddffed67.vercel.app/wallet/tutorials/react-dapp-local-state/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

The site contains high‑severity malicious JavaScript (WebSocket C2) and a Safe Browsing social‑engineering flag, indicating active malware distribution. Treat as high‑risk and do not interact.

Risk Factors
Malicious JavaScript with WebSocket command‑and‑control capability
High‑entropy, heavily obfuscated code
Safe Browsing social‑engineering flag
Subdomain on hosting platform with unknown age
Domain age information unavailable

Details

Page Title

Create a React dapp with local state | MetaMask developer documentation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(95%)

Domain Information

You're looking at domain 'metamask-docs-45ta0ykbu-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-45ta0ykbu-consensys-ddffed67'. The core label 'vercel' covers 6 characters holding two vowels versus 4 consonants. Word splitting yields two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.jsdelivr.net

Page Load Overview

2.20s
Total Load Time
20
HTTP Requests
13
Domains
192 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:14,666 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
95%
documentation technical
79%
finance banking
48%
corporate
35%
cryptocurrency
22%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
518.245.31.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
564.239.109.193United States
AS16509Amazon.com, Inc.
5216.198.79.3United States
AS16509Amazon.com, Inc.
204--

Page Statistics

20
Requests
4
Unique Domains
1.9 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC44CCB1D1E2217740B346CBC1EA53207AF644A9E6450B50B7BCD3A82FCDD5B398399B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UdNntPosgumqmITssPjpqsl4rN+UcwL7vRy088XrvAmcFjE:GEsTUcwL7vRy088XrvAm8jE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:270235:UCxBkOwEY2KRQCgBoIwghYASmMI5RsJiQwc8ghk8gQygAUpxwiaYUIhASNwgMiRlgmEGAjAWIJUMwgCICFREMgFQAggSAAsB

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:7f8f0103031f1f9f
Perceptual Hash:b873c387654cc2c7
Difference Hash:e0b9bdbeb6a0b4a8
Wavelet Hash:7e8f0103033f1f1f
Color Hash:#6cb9e0

Other Hashes

Crop Resistant:e0b9bdbeb6a0b4a8

Scan History

Scan history not available

Unable to load historical scan data