ScanMalware.com

Security Scan Report: bitpaxos.top

Redirected to:
https://bitpaxos.top/Login/index
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/08166557-c7aa-46b4-90c6-ca36b1f35d54Domain and IP registration (RDAP)/api/v1/rdap/08166557-c7aa-46b4-90c6-ca36b1f35d54How often this domain was scanned/api/v1/domain/stats/bitpaxos.topScan history for this domain/api/v1/domain/history/bitpaxos.top?limit=15
This website contacted 7 IPs in 3 countries across 7 domains to perform 22 HTTP transactions. The main domain is bitpaxos.top and was registered 8 months ago.

Submitted URL: https://bitpaxos.top/User/txcoin

Effective URL:
https://bitpaxos.top/Login/index
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

bitpaxos.top displays 'Paxos' branding on a non-official domain and hosts an email+password login form — a brand-impersonation credential phishing page. Do not enter credentials.

Risk Factors (4)
Brand impersonation: presents itself as Paxos (a known crypto/financial brand) on a non-official domain
Credential collection form (email + password) on an impersonating domain
Domain unranked / no established reputation despite claiming a major brand
Login funnel with 'security verification' wording typical of phishing kits
Domain age information unavailable

Details

Page Title

Paxos

Scan Type

public

Domain Name Analysis

Within the .top top-level domain, 'bitpaxos.top' is registered while skipping any subdomain. Count 8 characters in 'bitpaxos' containing 3 vowels alongside 5 consonants. Word splitting yields three words: bit, pax, os. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bitpaxos.top/User/txcoin

Page Load Overview

47.65s
Total Load Time
463 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:60 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain84% confidence
Type: webapp
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
84%
technology software
58%
government public service
53%
news media journalism
48%
e-commerce shopping
45%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4151.101.1.229Singapore
AS394432PEG TECH INC
3216.58.206.42United States
AS15169Google LLC
3118.107.44.62Singapore
AS152194CTG Server Limited
3142.251.141.131United States
AS15169Google LLC
3107.149.129.237Singapore, Singapore
AS394432PEG TECH INC
3155.102.51.4Unknown
AS24429Zhejiang Taobao Network Co.,Ltd
327.221.16.176China
AS4837CHINA UNICOM China169 Backbone
227--

Detected Technologies4

PasswordField
100%
JQueryv2.1.1
100%
Bootstrapv4.2.1
100%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E442A60A99E304497C1394B86FB756447B69C097DA09CD0C7FFC6378DF899C998A26CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:0ByHoaYbj2izeKl820UvdNs5f7Ff2k0Si/n+xguDB8ZNBGNI21uIjj:0BySx+Fp0J/nqDB8GNF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12579:ARFAVEADnFoCCERWIeiFAFAuAJlyNSOlwBmQWq0KPDRABUcJEEVqtRQBL0DKlEEA7RgAARBKUAOiAKzABji1hAAIJEpQCwDo

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:303c003c3c000000
Perceptual Hash:cece666e9e383031
Difference Hash:61684e7171062000
Wavelet Hash:bf3e3f3f3c140000
Color Hash:#9653ac

Other Hashes

Crop Resistant:0010084c0c081080,61684e7171062000

Scan History

Scan history not available

Unable to load historical scan data