Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is confib5aqee03e2ee02ed3a.s3.eu-north-1.amazonaws.com and was registered NaN years ago.
Submitted URL: https://makingmathineers.com/
Effective URL: https://confib5aqee03e2ee02ed3a.s3.eu-north-1.amazonaws.com/d3a.htmlRedirected
AI Security Verdict
Safe Website
Confidence: 99%
AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(43%)Domain Information
Domain 'makingmathineers.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The second-level label 'makingmathineers' is 16 characters long holding 6 vowels versus 10 consonants. Segmentation suggests 5 words: making, math, in, e, ers. Median word length is 3 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 |
|---|---|---|---|
| 2 | 3.5.217.242Aws · CLOUD | Stockholm, Stockholm County, Sweden | AS16509Amazon.com, Inc. |
| 1 | 192.185.106.8 | Ashburn, Virginia, United States | AS31898Oracle Corporation |
| 3 | 2 | - | - |
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