Security Scan Report: metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded...
Site favicon
Submitted: Aug 16, 2026, 12:45:27 PMCompleted: Aug 16, 2026, 12:48:05 PMpubliccompleted

Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app and was registered NaN years ago.

Submitted URL: http://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded-wallets/connect-blockchain/other/

Effective URL: https://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded-wallets/connect-blockchain/other/Redirected

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

The site hosts high‑severity malicious JavaScript (WebSocket C2) and is flagged by Safe Browsing; treat as high‑risk malware distribution.

Risk Factors
High‑severity YARA malware pattern indicating command‑and‑control
Google Safe Browsing social engineering flag
Single‑source phishing IoC on the subdomain
Heavy JavaScript obfuscation and base64 encoding
Domain age information unavailable

Details

Page Title

Connect Embedded Wallets with any Blockchain | MetaMask developer documentation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(89%)

Domain Information

You're looking at domain 'metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-l8lvh00ol-consensys-ddffed67'. Count 6 characters in 'vercel' split between two vowels and four consonants. Breaking it apart gives 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded-wallets/connect-blockchain/other/

Page Load Overview

34.25s
Total Load Time
30
HTTP Requests
4
Domains
2.0 MB
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:5,540 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
89%
documentation technical
78%
cryptocurrency blockchain
64%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.198.79.3United States
AS16509Amazon.com, Inc.
764.239.123.65United States
AS16509Amazon.com, Inc.
7104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
718.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
304--

Page Statistics

30
Requests
4
Unique Domains
2.2 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CED30632E2D0313F6917439EDB81AB54723AD4DADA8E22E2B31C865047C3BDA751787D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Oyhv9iNntPosgumqm489R+ri9lOogTs1/Hj99s4iSSa9EGrqOtz7dKM9Zc:OdNntPosgumqmITs1Pj99sY/Kv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136447:TgZNmUEwG/gISrSQT8A6EOsFoMgibDgEATormBiAAAxBsKMDKBEDAQAQQACgKqEhCpTYBMWiMhxkkBIHYH/wmYRqIcmCJCiS

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:7fc7c7c3cfdf8387
Perceptual Hash:bcc282cb916dc27d
Difference Hash:e8ad36363e26262e
Wavelet Hash:7e0787838fc38387
Color Hash:#6c53ac

Other Hashes

Crop Resistant:e8ad36363e26262e

Scan History

Scan history not available

Unable to load historical scan data