Summary
API
This website contacted 98 IPs in 5 countries across 23 domains to perform 178 HTTP transactions. The main domain is philipcarlson.net.
Submitted URL: http://philipcarlson.net/b0dfmx6tlm2416.html
AI Security Verdict
Confirmed Scam
Confidence: 95%
Confirmed phishing scam impersonating Audible with payment collection on a new, untrusted domain.
Risk Factors (5)
Details
Page Title
The Let Them Theory by Mel Robbins - Audiobook - Audible.com.au
Scan Type
public
Domain Name Analysis
You're looking at domain 'philipcarlson.net' on the network infrastructure generic top-level domain (.net) and has no subdomain. The second-level label 'philipcarlson' is 13 characters long holding four vowels versus 9 consonants. Tokenizing the label suggests two words: philip, carlson. Median word length is 6.5 characters. 'philip' is most common in Catalan usage. You may catch it in Danish and German as well.
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 |
|---|---|---|---|
| 81 | 3.167.226.194 | United States | AS16509AMAZON-02 |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 13.238.198.79 | Sydney, New South Wales, Australia | AS16509AMAZON-02 |
| 1 | 54.186.50.200 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 18.244.15.166 | United States | AS16509AMAZON-02 |
| 1 | 44.230.76.155 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 142.250.186.66 | United States | AS15169GOOGLE |
| 1 | 13.238.245.143 | Sydney, New South Wales, Australia | AS16509AMAZON-02 |
| 1 | 18.246.102.30 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 35.155.235.125 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 178 | 98 | - | - |
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
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