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

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Submitted: Aug 12, 2026, 12:45:15 PMCompleted: Aug 12, 2026, 12:46:30 PMpubliccompleted
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Summary

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

Submitted URL: https://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

The page hosts highly obfuscated malicious JavaScript with a backdoor pattern and is flagged by Safe Browsing; brand impersonation and unknown sub‑domain age raise the risk to HIGH.

Risk Factors
YARA high‑severity malware pattern
Safe Browsing phishing indicator
Brand impersonation without legitimate domain
Unknown sub‑domain age on hosting platform
Highly obfuscated JavaScript
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for React | MetaMask developer documentation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(90%)

Domain Information

The domain 'metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'metamask-docs-l8lvh00ol-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters containing two vowels alongside 4 consonants. Breaking it apart gives two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded-wallets/sdk/react

Page Load Overview

2.00s
Total Load Time
21
HTTP Requests
4
Domains
1.6 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:8,235 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software90% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
90%
documentation technical
73%
cryptocurrency blockchain
46%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
618.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
564.239.109.129United States
AS16509Amazon.com, Inc.
5216.198.79.67United States
AS16509Amazon.com, Inc.
5104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
214--

Page Statistics

21
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

T18C04C671D1E1203B14B343CFD6E1571076B784EAD64A1B91B3ACD3A42BCAE8B745386E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:VdNntPosgumqmITsZPj99s+zRTkr3yrkrR2fcmrk52z8JVBncL:CnseRTkr3yrkrRgcmrk5w8JVBncL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:178053:UEEZARBBei2BmJQsAMs6YZlKZsKVgmSIBIBqhWJ0CiYAAOCQQEAELRATbSeZFBUgpgK0EiokZK6AMgIgAvQeEjVLEZCeRNMh

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:7f0f8fdfdfcfff83
Perceptual Hash:b8c32dc36dc26cd2
Difference Hash:ecb93da5b0b6a036
Wavelet Hash:3e0f1f1d5e0f0383
Color Hash:#2d865b

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data