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

Submitted: Sep 15, 2026, 10:47:30 AMCompleted: Sep 15, 2026, 10:47:49 AMpubliccompleted

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

Security scan screenshot of https://opensea-login-us.vercel.app

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:#392d86

Other Hashes

Crop Resistant:6161696969616161

Scan History

Scan history not available

Unable to load historical scan data