Security Scan Report: opensea-login-us.vercel.app

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://opensea-login-us.vercel.app

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Single-source phishing report on a non-official OpenSea-branded vercel.app subdomain. Page claims to be educational and has no credential forms, but domain/title mimic OpenSea login. Treat as high-risk.

Risk Factors (5)
Single-source phishing threat-intel match on the primary domain
Domain name and title create OpenSea login confusion on a non-official domain
Hosted on a shared vercel.app subdomain, actual page age unknown
Unranked in Cisco Umbrella
Network IDS alerts for abused cloud hosting service (vercel.app)
Domain age information unavailable

Details

Page Title

OpenSea Login — Secure NFT Marketplace Access

Scan Type

public

Domain Name Analysis

Domain 'opensea-login-us.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'opensea-login-us'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

OpenSea Login — Secure NET; Marketplace Access @ FAn educational guide that explains safe steps to access OpenSeay protect your walletYand spot scamstThis is not an official OpenSea) page and does no...

Page Load Overview

0.19s
Total Load Time
4 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,392 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning79% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
79%
documentation technical
46%
technology software
40%
finance banking
31%
cryptocurrency
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA02D617A2E02323616782853A4253FDBE30D807A31612663ADE82DC9F55AC5CDBB35E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:1r9+AvWtfgoSx8iV47d+1CQoZWoEzT7bYE5ly9gf254QBUCaBft8NCS:1rki8iVWEzPbY8o9x54QTaBf0CS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8896:JBEiAMBiAA4AkJBYQkghPQCGDBKAIRzARBAowO0tqiiBSqYVao2i55E6IGVAxBAKqJAAGAAB5EgiTACgRYIdAKAhO5SQBjIA

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:30303c3c3c3c3c3c
Perceptual Hash:8a7165ce313c999e
Difference Hash:6161696969616161
Wavelet Hash:31203c3d3d3d3d39
Color Hash:N/A

Other Hashes

Crop Resistant:6161696969616161

Scan History

Scan history not available

Unable to load historical scan data