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Security Scan Report: philipcarlson.net

Submitted: Oct 14, 2025, 5:45:55 PMCompleted: Oct 14, 2025, 5:47:55 PMpubliccompleted
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Summary

This website contacted 139 IPs in 5 countries across 35 domains to perform 217 HTTP transactions. The main domain is philipcarlson.net and was registered NaN years ago.

Submitted URL: http://philipcarlson.net/b0dj99k99t3c47.html

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam; avoid interaction.

Risk Factors
Brand impersonation (Audible/Amazon) on unranked domain
Domain registered less than 7 days ago
Circular redirect loop
Payment form collecting credit card information
Excessive redirects (5) in redirect chain
Domain age information unavailable

Details

Page Title

The Impossible Fortune by Richard Osman - Audiobook - Audible.com.au

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(40%)

Domain Information

The domain 'philipcarlson.net' uses the network infrastructure generic top-level domain (.net) with no subdomain. The registrable portion 'philipcarlson' spans 13 characters containing four vowels alongside 9 consonants. It segments into two words: philip, carlson. Median word length comes out to 6.5 characters. The linguistic tilt is Catalan for 'philip'. You will also see it in Danish and German contexts.

Screenshot

Security scan screenshot of http://philipcarlson.net/b0dj99k99t3c47.html

Page Load Overview

42.76s
Total Load Time
217
HTTP Requests
35
Domains
1.4 MB
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-AU
Text Length:26,269 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
40%
e-commerce
25%

Detected Features

Search
Payment
OG: book

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
792.19.11.159Düsseldorf, North Rhine-Westphalia, Germany
AS20940Akamai International B.V.
1142.250.185.164United States
AS15169GOOGLE
13.167.226.84United States
AS16509AMAZON-02
1184.24.77.24Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12.19.11.150Düsseldorf, North Rhine-Westphalia, Germany
AS20940Akamai International B.V.
1184.24.77.34Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
118.246.94.194Boardman, Oregon, United States
AS16509AMAZON-02
1142.250.185.200United States
AS15169GOOGLE
1142.250.186.34United States
AS15169GOOGLE
115.197.193.217Seattle, Washington, United States
AS16509AMAZON-02
217139--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175840CF5F61533BB2A3391E42A17BB0290D18626CFE14D4273EE83941B7AD52B507B39

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Q20PdiTAYlPSOsKPIzLwdCXvqrKgsxueobGqT5ToTjTuTsT7TS36OjxfoNzmJ9SN:QE3iBW0LrL22kr6c2gu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:397575:FACBAAERmyAtAGo2MkloEAqAhAKECIjQiAkwEBmTemSAHQPaAewlEFYaAoxgAgDcBwoxAiGIESgIAgACIoLQUhLWRCaY0iBE

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:00ff034343ffffff
Perceptual Hash:a0065f5a5f171f13
Difference Hash:39accece97995272
Wavelet Hash:001f030341cfffbf
Color Hash:#9e6ce0

Other Hashes

Crop Resistant:39accece97995272,796971716d3d7179

Scan History

Scan history not available

Unable to load historical scan data