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

Redirected to:
https://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded...
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Submitted: Aug 13, 2026, 2:45:29 PMCompleted: Aug 13, 2026, 2:48:19 PMpubliccompleted
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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/authentication/custom-connections/custom-jwt

Effective URL: https://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/embedded-wallets/authentication/custom-connections/custom-jwt/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, warranting a high‑risk classification.

Risk Factors
Malicious JavaScript pattern indicating command‑and‑control communication
Obfuscated JavaScript with high entropy and base64 encoding
Safe Browsing social‑engineering flag
Unverified phishing reports from OpenPhish
Subdomain on a hosting platform with unknown age
Domain age information unavailable

Details

Page Title

Custom JWT Login with Embedded Wallets | MetaMask developer documentation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(90%)

Domain Information

Domain 'metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'metamask-docs-l8lvh00ol-consensys-ddffed67'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length comes out to 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/authentication/custom-connections/custom-jwt

Page Load Overview

7.33s
Total Load Time
24
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:11,403 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
90%
documentation technical
75%
cryptocurrency blockchain
43%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.239.123.193United States
AS16509Amazon.com, Inc.
618.245.31.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
6104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
664.29.17.67United States
AS16509Amazon.com, Inc.
244--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B1482B1D1E1203B40B346CFD6E5571076B740AAE64A0B90B3BCD3A42BCED9B745396E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:odNntPosgumqmITsTPj99sn+jC4wCEebrfKd9xtD2zYHK:dns+jC4wCEebrfKd9xtDwYHK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:200835:tAgsDbJUBKqsigQCXChgCAL1chmCKiSigbHEABAEFAggFQPBoGACCIMyWwlIjNREMqoOICHhSErRXBokqRpVeQUJBjhVApCm

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:7e0781838f03ffff
Perceptual Hash:b032c391ddc72c7c
Difference Hash:e8ad2f3fbebe18b0
Wavelet Hash:3e0701810e03ffff
Color Hash:#79d284

Other Hashes

Crop Resistant:e8ad2f3fbebe18b0

Scan History

Scan history not available

Unable to load historical scan data