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Security Scan Report: metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/078c2fb6-1714-474c-8f4c-093d35eb0ca1Domain and IP registration (RDAP)/api/v1/rdap/078c2fb6-1714-474c-8f4c-093d35eb0ca1How often this domain was scanned/api/v1/domain/stats/metamask-docs-keec0mi8n-consensys-ddffed67.vercel.appScan history for this domain/api/v1/domain/history/metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app?limit=15
This website contacted 34 IPs in 2 countries across 21 domains to perform 606 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/embedded-wallets/sdk/ios

AI Security Verdict

High Risk

Confidence: 72%

8
Risk Score

MetaMask-branded developer docs on an unofficial vercel.app hostname, flagged as phishing by PhishDestroy and openphish on the primary domain and two URLs, with a circular redirect. No credential form seen, but treat as impersonation risk.

Risk Factors (5)
Phishing threat-intelligence matches against the scanned primary domain and two of its URLs (single-source, unverified)
MetaMask/Consensys branding on a non-official vercel.app hostname — brand impersonation of a different entity
Circular redirect in the navigation chain
Cloud-hosting abuse-category IDS alerts (vercel.app)
Subdomain on a shared hosting platform; actual page age unknown despite aged apex
Domain age information unavailable

Details

Page Title

Embedded Wallets SDK for iOS | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app' is registered, featuring subdomain 'metamask-docs-keec0mi8n-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-keec0mi8n-consensys-ddffed67.vercel.app/embedded-wallets/sdk/ios

Page Load Overview

19.49s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,251 chars
Detector Agreement:60%

Website Classification

Primary Category

technology software73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
73%
cryptocurrency blockchain
58%
corporate
35%
documentation technical
33%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
45216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1764.239.123.65Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
17142.251.20.97Google · CDNUnited States
AS15169Google LLC
17146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
173.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
17104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.17.175.201Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.18.40.240Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
60634--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB046376C2E0147B40B35EC7D5EA53A8A6A3225DD2108B70F3BCC7B96F88D5574938A3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rP58ag+3Cbs5iEsPDGPDve3DPDjPDcPDPyPDIZWPDlZ4KWPDCbPzYOTbWl6oPD0D:DasYlPDGPDve3DPDjPDcPDPyPDIZWPDR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:186280:GWsB50n3HCRATADQLJgDAUMCEOaAZRIQGKIAZJ+dhiAAF4AEGC2mEAp4AQAYaJQHAJYUJ/IQgTv0AsYTrinIgjgCKVkiBAIG

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:000f039dfd9f839e
Perceptual Hash:9803754a576c7d2b
Difference Hash:acb9bfa5a1b1b632
Wavelet Hash:000f03bd7d1fc39e
Color Hash:#40acbf

Other Hashes

Crop Resistant:acb9bfa5a1b1b632

Scan History

Scan history not available

Unable to load historical scan data