Summary
This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is tracking.bidster.net and was registered NaN years ago.
Submitted URL: https://tracking.bidster.net
The Cisco Umbrella rank of the primary domain is #58,378 of the top 1 million websites
AI Security Verdict
Not Assessed
This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.
Error or status pages carry no content to analyse. The site may still be active on another path.
Details
Page Title
tracking.bidster.net
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(53%)Domain Information
The domain 'tracking.bidster.net' uses the network infrastructure generic top-level domain (.net), featuring subdomain 'tracking'. The second-level label 'bidster' is 7 characters long holding 2 vowels versus five consonants. Word splitting yields two words: bid, ster. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 1 | 31.184.217.134 | Russia | AS50340JSC Selectel |
| 1 | 1 | - | - |
Page Statistics
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data