Security Scan Report: metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/embedded...
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Submitted: Sep 7, 2026, 1:45:03 PMCompleted: Sep 7, 2026, 1:46:34 PMpubliccompleted

This website contacted 7 IPs in 1 country across 11 domains to perform 20 HTTP transactions. The main domain is metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/embedded-wallets/sdk/js

Effective URL:

https://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/embedded...
Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Page hosts high‑severity malicious JavaScript (C2 backdoor) and is flagged by phishing intel; treat as high‑risk malware distribution.

Risk Factors (3)
Malicious JavaScript pattern (C2 backdoor)
Phishing URL indicators from openphish.com
Shared‑hosting subdomain with unknown age
Domain age information unavailable

Details

Page Title

Getting started with the Web SDK | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

You're looking at domain 'metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'metamask-docs-p13jojaa8-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. It segments into 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/embedded-wallets/sdk/js

Page Load Overview

20.60s
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:7,655 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software93% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
93%
documentation technical
79%
cryptocurrency blockchain
66%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
864.239.123.65United States
AS16509Amazon.com, Inc.
264.29.17.195United States
AS16509Amazon.com, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.245.31.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.198.79.195United States
AS16509Amazon.com, Inc.
264.239.123.1United States
AS16509Amazon.com, Inc.
207--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C161EE73E310F82C665687A5FA01B0D8C3A2E31BD95D6C51B2EC13992BC0F6475B7A13

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:StJxNbeZEXE+XqLATWgGR8rQ6QCPurN89W:sJrRfaLgWVenPuqW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3191:gMAAAICABQEECCIQhIwFDAEAxwAEwCABAAICCIAAQAkgAQEAAYQECAFkIFKAAAAgAEAISEBCEACJAQIAEQIAKABEoCAZCVgi

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:ff7fcf3f3f3f3f3f
Perceptual Hash:83f8f8037c7c7c03
Difference Hash:8cf93fe7ddf8f2f6
Wavelet Hash:007f8f030f1f1f0f
Color Hash:#e0776c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data