Security Scan Report: mainnethub-protocol.firebaseapp.com

Submitted: Completed: publiccompleted
This website contacted 11 IPs in 1 country across 9 domains to perform 38 HTTP transactions. The main domain is firebaseapp.com and was registered 14 years ago.

Submitted URL: https://mainnethub-protocol.firebaseapp.com/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Fake 'WalletLink' page on a firebaseapp subdomain that urges users to enter wallet private keys and links/loads domains reported as wallet drainers. Do not connect a wallet or enter any keys.

Risk Factors (5)
Brand impersonation of WalletLink on a non-official firebaseapp.com subdomain
Solicitation of wallet private keys / seed phrase ('Enter your Private keys to your wallet')
Two wallet-drainer phishing indicators from threat intelligence (one outbound link, one loaded third-party resource), both single-source and unverified but consistent with the page's content
Domain is an unranked shared-hosting tenant with unknown subdomain creation date
Page content attempts to look like an established audited protocol ('audited and insured', 'over $1M in trades') with no verifiable basis
Domain age information unavailable

Details

Page Title

WalletLink

Scan Type

public

Domain Name Analysis

You're looking at domain 'mainnethub-protocol.firebaseapp.com' on the commercial generic top-level domain (.com) and includes subdomain 'mainnethub-protocol'. The registrable portion 'firebaseapp' spans 11 characters with 5 vowels and 6 consonants. Segmentation suggests 3 words: fire, base, app. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mainnethub-protocol.firebaseapp.com/

Page Load Overview

2.77s
Total Load Time
261 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,088 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain63% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

cryptocurrency blockchain
63%
technology software
56%
documentation technical
31%
finance banking
31%
cryptocurrency
22%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8199.36.158.100Fastly · CDNUnited States
AS54113Fastly, Inc.
3104.18.4.118Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3185.199.109.133Fastly · CDNUnited States
AS54113Fastly, Inc.
3192.178.183.113Google · CDNUnited States
AS15169Google LLC
3200.97.244.201United States
3162.159.152.4Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.20.36.4Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.5.118Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3185.199.108.133Fastly · CDNUnited States
AS54113Fastly, Inc.
3192.178.183.138Google · CDNUnited States
AS15169Google LLC
3811--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19183091B19F3015A0C53D1E46B7A7A44BBA1E207CC0ADC8ABADE1251CF86EB56DD335C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:GbYZiPLM0eEHNGqZbuoQ0E0IDBGkjic1oWefV:Gcio0BHcZDBGWiYoJfV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86244:iEwAPFigCoSQkIghEogxYHhAEQQ0IwplECJAzJqIAIjaAMWlgojIk7pEQDIt4iDEYBFIFpHQNBCaAHiQSAcIIQEbAyAQcsqS

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:8181818181bdbdbd
Perceptual Hash:af3c96903495d5c5
Difference Hash:1d45434369696969
Wavelet Hash:85818181b5bdbdbd
Color Hash:#d23d2d

Scan History

Scan history not available

Unable to load historical scan data