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Security Scan Report: philipcarlson.net

Submitted: Oct 14, 2025, 5:50:40 PMCompleted: Oct 14, 2025, 5:52:18 PMpubliccompleted
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Summary

This website contacted 124 IPs in 5 countries across 30 domains to perform 136 HTTP transactions. The main domain is philipcarlson.net.

Submitted URL: http://philipcarlson.net/b0cvn6v9p28087.html

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

High‑risk phishing site impersonating Audible/Amazon; confirmed scam.

Risk Factors
Brand impersonation on an unranked, newly registered domain
Circular redirect indicating URL manipulation
Domain age <90 days with brand claims
Final URL does not correspond to the advertised brand
Absence of legitimate Audible/Amazon domain
Domain age information unavailable

Details

Page Title

Listen to Audiobooks written by Florence Knapp | Audible.com.au

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(38%)

Domain Information

You're looking at domain 'philipcarlson.net' on the network infrastructure generic top-level domain (.net). Count 13 characters in 'philipcarlson' with four vowels and nine consonants. Tokenizing the label suggests two words: philip, carlson. The median word length lands at 6.5 characters. The linguistic tilt is Catalan for 'philip'. Usage also turns up in Danish and German contexts. Overall, 'philipcarlson.net' reads as Catalan.

Screenshot

Security scan screenshot of http://philipcarlson.net/b0cvn6v9p28087.html

Page Load Overview

23.78s
Total Load Time
136
HTTP Requests
30
Domains
634 KB
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:2,269 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical38% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
38%
corporate
35%

Detected Features

Search
Products
OG: book
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
133.167.226.76United States
AS16509AMAZON-02
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12.19.11.181Düsseldorf, North Rhine-Westphalia, Germany
AS20940Akamai International B.V.
1216.58.206.34United States
AS15169GOOGLE
118.246.94.194Boardman, Oregon, United States
AS16509AMAZON-02
1146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113FASTLY
144.239.183.11Boardman, Oregon, United States
AS16509AMAZON-02
1150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
113.238.198.79Sydney, New South Wales, Australia
AS16509AMAZON-02
1184.24.77.176Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
136124--

Detected Technologies1

Open-Graph-Protocolvbook
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A46418A1F15131B7123309F9A0EF764A92718103FA858C8576ADC5E42F69B8F5E23B3D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9VaILx96l9ZeV9YP+GhizuzTzkzrz7z+zS7W3G4VCz84vysAauEUCzrwIIH/L:ranfGy87W31VWvyeuEU+sT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:324665:IAAhIiKI1yBTIwICgyKI2AxCoRFBAAEjcEABlBBCl1T0BFwETDIAgQEYAMofIAdzDydD28Ntu0RBEkRAAAVBosHEBAbBELsa

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:df00e4e7ffe7e7ff
Perceptual Hash:e24a48adb5b5b598
Difference Hash:32c9c90c0c0e0c20
Wavelet Hash:920024e6fec2e79f
Color Hash:#c1e06c

Other Hashes

Crop Resistant:32c9c90c0c0e0c20,2323232323030303

Scan History

Scan history not available

Unable to load historical scan data