Security Scan Report: dawaid-sessionmints.netlify.app

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https://dawaid-sessionmints.netlify.app/
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Submitted: Sep 24, 2026, 12:45:01 AMCompleted: Sep 24, 2026, 12:45:44 AMpubliccompleted

This website contacted 16 IPs in 2 countries across 14 domains to perform 46 HTTP transactions. The main domain is dawaid-sessionmints.netlify.app and was registered 10 years ago.

Submitted URL: http://dawaid-sessionmints.netlify.app/

Effective URL:

https://dawaid-sessionmints.netlify.app/
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AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Wallet-drainer phishing site impersonating OpenSea Pro on a free netlify.app subdomain, using a fake Mystery Box airdrop to get victims to connect/approve their crypto wallets; CRITICAL EtherHiding malware IDS alerts confirm.

Risk Factors (7)
Brand impersonation of OpenSea Pro on a non-official netlify.app subdomain
Wallet drainer / approval-phishing infrastructure connecting to multiple Arbitrum RPC endpoints
CRITICAL IDS malware alert: ET MALWARE EtherHiding Exfil M2
Unsolicited 'free airdrop' with guaranteed high-value rewards and urgency (only 150 boxes)
Fabricated social proof and unverifiable 'verified smart contract' claims
8 Function() constructor calls indicating runtime code generation
Domain unranked in Cisco Umbrella; hosting-platform subdomain of unknown creation date
Domain age information unavailable

Details

Page Title

OpenSea.io

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'dawaid-sessionmints.netlify.app' is registered with subdomain 'dawaid-sessionmints'. The core label 'netlify' covers 7 characters containing two vowels alongside 5 consonants. Word splitting yields three words: net, li, fy. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://dawaid-sessionmints.netlify.app/

Page Load Overview

3.50s
Total Load Time
9.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:2,766 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
87%
finance banking
64%
e-commerce shopping
59%
healthcare medical
59%
documentation technical
58%

Detected Features

Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1635.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2104.20.39.96Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.66.150.162Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.18.10.59Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.135.169Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.12.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4616--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0C08CA9AC028C5904806EC888A0F158410CA3A4F002DE00EDE120606E49BAD1D01640

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVWJhquIw2lyiIryyD/Z3FXMwQxYqAqRAdu6/GYlWX/+TTTAGXI9kBbZWM:h4hqBHImq/ZVXLgYqAqJmW/yTAVuB9d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:6600eb3ed887edc6adf350bd402b5c74

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:ff01070d0d0dffff
Perceptual Hash:bb26c41bc9d0d2d6
Difference Hash:b20f2ddb59191980
Wavelet Hash:ff0101010d0ddfff
Color Hash:#2dd24e

Scan History

Scan history not available

Unable to load historical scan data