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

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Submitted: Aug 12, 2026, 12:45:16 PMCompleted: Aug 12, 2026, 12:46:33 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/snaps

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 and do not interact.

Risk Factors
High‑severity malicious JavaScript pattern (WebSocket command & control)
Critical JavaScript obfuscation and dynamic code execution
Safe Browsing social engineering flag
Unranked .vercel.app subdomain with brand mismatch
Domain age information unavailable

Details

Page Title

Snaps introduction | MetaMask developer documentation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(94%)

Domain Information

You're looking at domain 'metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'metamask-docs-l8lvh00ol-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside 4 consonants. Segmentation suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-l8lvh00ol-consensys-ddffed67.vercel.app/snaps

Page Load Overview

4.05s
Total Load Time
38
HTTP Requests
12
Domains
2.8 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:5,290 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
94%
documentation technical
75%
cryptocurrency blockchain
65%
finance banking
49%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1118.245.31.35Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
964.239.109.193United States
AS16509Amazon.com, Inc.
9216.198.79.67United States
AS16509Amazon.com, Inc.
384--

Page Statistics

38
Requests
12
Unique Domains
3.1 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T158F30772E0D0213F561703EED791AB2472B7D4DADA8D22A1B36C82A017C3ED6B51B47D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Myhv9iNntPosgumqm489R+ri9lOogTsd/Hj99skiSSa9EGrqO5z7mDe8eeevemep:MdNntPosgumqmITsdPj99sEDX2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165640:JJBsRwAEjASJkAECIAtvN6PCVcEQUnUaA7YJoBKoQlEQogMDUEQaEgGtbcDQCtTcdCBBFG+ESklA2I7AJFhJEiUDZEiSzELC

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:ffffffc383838383
Perceptual Hash:bcc3c22d65c2ca3d
Difference Hash:e02db00e36363626
Wavelet Hash:ff8fcf8381818383
Color Hash:#6ce0a2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data