Security Scan Report: metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app

Redirected to:
https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed6...
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Submitted: Sep 11, 2026, 12:45:42 PMCompleted: Sep 11, 2026, 12:50:03 PMpubliccompleted

This website contacted 9 IPs in 1 country across 11 domains to perform 18 HTTP transactions. The main domain is metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app and was registered 6 years ago.

Submitted URL: http://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app/embedded-wallets/connect-blockchain/other/ton/

Effective URL:

https://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed6...
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

This site is named as malicious in threat-intelligence feeds — rated high risk on that basis.

Risk Factors
Unranked domain on shared hosting platform
Unverified single-source phishing report
Domain age information unavailable

Details

Page Title

Integrate Embedded Wallets with the TON Blockchain | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app' is registered, featuring subdomain 'metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Splitting it apart reveals two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://metamask-docs-git-dependabot-npmandya-95394d-consensys-ddffed67.vercel.app/embedded-wallets/connect-blockchain/other/ton/

Page Load Overview

6.47s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:8,249 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
cryptocurrency blockchain
66%
documentation technical
65%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.239.109.129United States
AS16509Amazon.com, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
218.245.31.100Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.198.79.67United States
AS16509Amazon.com, Inc.
218.245.31.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
264.29.17.131United States
AS16509Amazon.com, Inc.
218.245.31.78Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.198.79.131United States
AS16509Amazon.com, Inc.
264.239.123.129United States
AS16509Amazon.com, Inc.
189--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C861F1B3E221FC2C66564BA8BE41B0D4C266F21BD56D7892B2EC439957D4B2470F3E13

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:StM1RBx8HA1WgGRkBxKBxZDxBxZDinG5/QrN89W:sMFxowWVqxGxRxg4/QqW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3181:ECIAAIQQAASAAAAIABACCgEEAoAACAAoDEIMEAEIEAAgJAAAYEAoABAkAwCKAAASAAmEExAIFCAAAAAAIQgoAAsQEAAADAQC

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:ffffffff3f031f03
Perceptual Hash:a5d27c05d3d27c83
Difference Hash:b8ad37affe96f626
Wavelet Hash:7effc3033f030303
Color Hash:#bfa840

Scan History

Scan history not available

Unable to load historical scan data