Security Scan Report: metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 48 IPs in 2 countries across 30 domains to perform 878 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app/snaps/

AI Security Verdict

High Risk

Confidence: 62%

7
Risk Score

MetaMask Snaps documentation on a Vercel preview subdomain; no forms, malware or exfiltration found. Only an unverified single-source phishing report and generic Vercel-abuse IDS alerts — moderate concern, likely false positive.

Risk Factors (4)
One unverified single-source phishing report against the scanned hostname
Shared-hosting preview subdomain (.vercel.app) whose actual creation date is unknown and cannot inherit the platform's age
Generic IDS signatures for actor-abused Vercel hosting (no page-specific network behaviour)
Circular redirect observed in the redirect chain
Domain age information unavailable

Details

Page Title

Snaps introduction | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app' is registered, featuring subdomain 'metamask-docs-ctqr7yuof-consensys-ddffed67'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. Segmentation suggests 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-ctqr7yuof-consensys-ddffed67.vercel.app/snaps/

Page Load Overview

2.08s
Total Load Time
7.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,539 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
73%
cryptocurrency blockchain
62%
education learning
36%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1864.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
18142.251.110.97Google · CDNUnited States
AS15169Google LLC
18142.251.155.4Google · CDNUnited States
AS15169Google LLC
18146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
183.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
18104.18.30.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
18104.16.140.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1852.32.86.246Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
87848--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117F360398010887F1436AAE7A95EA3E8E117728DC634D674F3BD4B39EF41F519126CA3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:P/H58/XIs7+kSa90Gr6kUSz7kDe8eeeveme3eReee7eFeLeqeXeSeBeMeqeaeyeU:PP58/Ys96UX4Vp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:170287:CNzGEBwloMGCQhkICRRKMM50SgqZYFMEVjAAqSEEKWLquABCCyAmwAGGKwAAAoQwiiJJLEEpCEGzDGFQSgDjCYeyEAEo0EiV

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:bcc3d22c7dc2c23c
Difference Hash:b01bb00636363626
Wavelet Hash:1ecfdf8383838383
Color Hash:17009018000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data