Security Scan Report: track-apac.bidmachine.io

Submitted: Apr 19, 2026, 12:20:14 PMCompleted: Apr 19, 2026, 12:21:33 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is track-apac.bidmachine.io and was registered NaN years ago.

Submitted URL: https://track-apac.bidmachine.io

The Cisco Umbrella rank of the primary domain is #3,293 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

track-apac.bidmachine.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(59%)

Domain Information

Domain 'track-apac.bidmachine.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'track-apac'. The second-level label 'bidmachine' is 10 characters long with 4 vowels and 6 consonants. Word splitting yields two words: bid, machine. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://track-apac.bidmachine.io

Page Load Overview

0.76s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:248 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain59% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
59%
technology software
53%
gambling betting
49%
news media journalism
49%
healthcare medical
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1188.42.126.76Luxembourg
11--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:kfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszw2bMy8OldW:XhoC9JSqzzbs6o3Sj3gcrsc2eAA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184666:EAQEYCngKIOAwgiAgqWJzzEKiUEFYhEFEWUEA6RsgWAIoRPmrWoF26JQEgN6qDDCSCoaLBVFAyUISAQCgFgGEYERQK1TAwNj

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:ffc3c7c3f3ffffff
Perceptual Hash:b1319acecc693333
Difference Hash:00141c1606000000
Wavelet Hash:3f1f0303030f0f0f
Color Hash:#408abf

Other Hashes

Crop Resistant:00141c1606000000

Scan History

Scan history not available

Unable to load historical scan data