Security Scan Report: lido-staking.vercel.app

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Submitted: Sep 23, 2026, 5:47:26 AMCompleted: Sep 23, 2026, 5:47:59 AMpubliccompleted

AI Security Verdict

High Risk

Confidence: 72%

7
Risk Score

Single-source phishing report on the primary domain forces HIGH_RISK, though the captured page is an article-style Lido staking guide with no credential or payment forms. Treat with caution.

Risk Factors
Single-source phishing threat-intel report on the primary domain
Hosted on vercel.app, a cloud hosting platform frequently abused for phishing campaigns
Subdomain creation date on vercel.app is unknown and could be very recent
Domain age information unavailable

Details

Page Title

Lido Staking — stETH, wstETH, Rewards, APY/APR, Fees, Withdrawals, Risks & Troubleshooting (2026)

Scan Type

public

Domain Name Analysis

The domain name 'lido-staking.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'lido-staking'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. It segments into two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lido-staking.vercel.app

Page Load Overview

0.38s
Total Load Time
735 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:14,264 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain91% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
91%
technology software
61%
documentation technical
48%
finance banking
34%
government public service
32%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
52--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E03E82351F362760A53618917516B5F2FE4E01BE20B41927ADFC2AC8FC3DDA98B3749

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:i+iXXr80bfKxLHfj9LyRqpJnkuXJMx0XxNFBayUhD3uB/WjBKfNhArth8koM:iaDiMjXneyUhD94fNhArth8nM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40918:EyMAFYMAhlAFpcISEQSKRVDFk5xwyAhEjCGSSAgAVTwGGCwjyWLlgCEUysxCIpAQOAMWhSkhIyTCAKoECQz1CoqUZSKMFJmg

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:1c0cc7e7c3ffc3c3
Perceptual Hash:b21a198d2767c73c
Difference Hash:78300c0e1e460f1f
Wavelet Hash:1c0c82c7c7e3c3cf
Color Hash:#9653ac

Other Hashes

Crop Resistant:78300c0e1e460f1f

Scan History

Scan history not available

Unable to load historical scan data