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

Redirected to:
https://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/snaps/
Site favicon
Submitted: Sep 7, 2026, 12:45:44 PMCompleted: Sep 7, 2026, 12:49:39 PMpubliccompleted

Summary

This website contacted 22 IPs in 1 country across 19 domains to perform 2 HTTP transactions. The main domain is metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app and was registered 30 years ago.

Submitted URL: http://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/snaps

Effective URL: https://metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app/snaps/Redirected

AI Security Verdict

High Risk

Confidence: 85%

7
Risk Score

Page hosts malicious JavaScript (WebSocket C2) and is high‑risk despite lacking credential forms.

Risk Factors
Content‑malware YARA detection
Phishing URL indicators (even if unverified)
Obfuscated JavaScript with extensive eval() usage
Unranked hosting subdomain
Domain age information unavailable

Details

Page Title

Snaps introduction | MetaMask developer documentation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(93%)

Domain Information

Within the application-focused generic top-level domain (.app), 'metamask-docs-p13jojaa8-consensys-ddffed67.vercel.app' is registered with subdomain 'metamask-docs-p13jojaa8-consensys-ddffed67'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. It segments into 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-p13jojaa8-consensys-ddffed67.vercel.app/snaps

Page Load Overview

4.89s
Total Load Time
37
HTTP Requests
19
Domains
1.3 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:5,418 chars
Detector Agreement:80%

Website Classification

Primary Category

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

All Detected Categories

technology software
93%
documentation technical
80%
cryptocurrency blockchain
75%
education learning
44%
finance banking
36%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1664.29.17.195United States
AS16509Amazon.com, Inc.
118.245.31.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
164.239.109.193United States
AS16509Amazon.com, Inc.
1104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.151.4Google · CDNUnited States
AS15169Google LLC
1142.251.150.119Google · CDNUnited States
AS15169Google LLC
1142.251.13.132Google · CDNUnited States
AS15169Google LLC
1142.251.20.157Google · CDNUnited States
AS15169Google LLC
1142.250.154.149Google · CDNUnited States
AS15169Google LLC
1142.250.154.119Google · CDNUnited States
AS15169Google LLC
3722--

Page Statistics

37
Requests
12
Unique Domains
3.0 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A471A173E210A82CA55796F4F605B088C3B2F31BD96D6D1271FC53992FD4A3066B7A07

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hc4rAXSSSDMDi4Utudkjbuujlk85peigGGd9cpeigGGdy8dhA3bGoHeWFIHegefG:SFCBVRZGbeGbyMXWDhWgGKq/nrN89W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3567:QAAEAAKIEEkAIBAAQRAA1ACABBSGAAEBAgMQAoAIQAAgAAChwISAIAuEIoawhgAACAAAAAESAJAACAIAEAiSAEAgIIYgAIgg

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:ffffffff03030383
Perceptual Hash:add2f22d70c2d82d
Difference Hash:f029382e36363636
Wavelet Hash:7fffdf0303030303
Color Hash:#783a72

Scan History

Scan history not available

Unable to load historical scan data