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Security Scan Report: metamask-docs-75mpj2s96-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/a8c8592f-250c-4dd0-936d-b450cf037d42Domain and IP registration (RDAP)/api/v1/rdap/a8c8592f-250c-4dd0-936d-b450cf037d42How often this domain was scanned/api/v1/domain/stats/metamask-docs-75mpj2s96-consensys-ddffed67.vercel.appScan history for this domain/api/v1/domain/history/metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app?limit=15
This website contacted 34 IPs in 2 countries across 21 domains to perform 969 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded-wallets/troubleshooting/jwt-errors/

AI Security Verdict

High Risk

Confidence: 62%

7
Risk Score

Unranked vercel.app preview subdomain serving what reads as MetaMask developer docs, with a single-source OpenPhish phishing report and no credential or payment forms found. Phishing IoC drives a high-risk caution; content itself looks benign.

Risk Factors (4)
Single-source phishing URL report from OpenPhish against the scanned host
Brand-name ('MetaMask', 'ConsenSys') embedded in an unranked vercel.app preview subdomain rather than an official MetaMask/ConsenSys domain
Unknown subdomain creation age on a shared hosting platform
Circular redirect between the requested and final URL
Domain age information unavailable

Details

Page Title

JWT errors | MetaMask developer documentation

Scan Type

public

Domain Name Analysis

Domain 'metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'metamask-docs-75mpj2s96-consensys-ddffed67'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Segmentation suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://metamask-docs-75mpj2s96-consensys-ddffed67.vercel.app/embedded-wallets/troubleshooting/jwt-errors/

Page Load Overview

7.44s
Total Load Time
6.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,225 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
53%
cryptocurrency blockchain
39%
corporate
35%
cryptocurrency
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2864.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
28104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2864.239.109.129Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
28142.251.20.97Google · CDNUnited States
AS15169Google LLC
28146.75.121.55Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
283.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
28104.18.31.173Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
28104.16.139.209Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
28104.17.128.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
96934--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F2F33F3C8190487F14626AD7A99AA3E8E15B728DC231D774F37D8B39AF01E215563CB3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:b/H58Cq5ssOUSa90Gr7wUVz7bV8ca7PDzHdPDFcc8vPDqeTVM:bP58Cq5sa7pV8ca7PDzHdPDFc5vPDvVM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:172004:AuXI0hAIXHBBQADAQmRCklDAQIEsCDOJkHTweyGgBCBASMRAwuOB6AQmrgQCDhBJATFcEkjDMgFqkaUREDDgggAAggXIhiWJ

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:6eff81838fdfcfc3
Perceptual Hash:bc6ac59253286d3e
Difference Hash:cca9273e3830beae
Wavelet Hash:249f83838f9f87c2
Color Hash:#931f3c

Other Hashes

Crop Resistant:cca9273e3830beae

Scan History

Scan history not available

Unable to load historical scan data