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Security Scan Report: philipcarlson.net

Submitted: Oct 14, 2025, 10:37:20 PMCompleted: Oct 14, 2025, 10:39:39 PMpubliccompleted
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Summary

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%

10
Risk Score

Confirmed phishing scam impersonating Audible with payment collection on a new, untrusted domain.

Risk Factors
Brand impersonation on unranked, likely newly registered domain
Circular redirect indicating URL manipulation
Payment form collecting sensitive financial data
Domain not listed in Cisco Umbrella top 1 M (UNRANKED)
Domain age appears to be 0 days (critical new domain)
Domain age information unavailable

Details

Page Title

The Let Them Theory by Mel Robbins - Audiobook - Audible.com.au

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(77%)

Domain Information

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

Security scan screenshot of http://philipcarlson.net/b0dfmx6tlm2416.html

Page Load Overview

59.59s
Total Load Time
178
HTTP Requests
23
Domains
1.2 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:28,164 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
77%
entertainment media
51%
e-commerce shopping
50%
healthcare medical
33%
e-commerce
25%

Detected Features

Search
Payment
OG: book

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
813.167.226.194United States
AS16509AMAZON-02
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
113.238.198.79Sydney, New South Wales, Australia
AS16509AMAZON-02
154.186.50.200Boardman, Oregon, United States
AS16509AMAZON-02
118.244.15.166United States
AS16509AMAZON-02
144.230.76.155Boardman, Oregon, United States
AS16509AMAZON-02
1142.250.186.66United States
AS15169GOOGLE
113.238.245.143Sydney, New South Wales, Australia
AS16509AMAZON-02
118.246.102.30Boardman, Oregon, United States
AS16509AMAZON-02
135.155.235.125Boardman, Oregon, United States
AS16509AMAZON-02
17898--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150841CF5F61533BB2A3791E42A23AB0290D14626CFE44D4273EE83940B7AD57B503B79

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:42Z2YCoWRT5ToTjTuTsT7TMGa7uCUG3/FLwQ3MkrGwr01D:4VLF3JLwPkrGwr01D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:404783:QBEQOKQE03B4yAKA/ISlAKgYgiIUhENf/kCoEAoASgVABlRhijCjABwxSgSAiJOIEgjwSQCCF4ACIHAKCSDhkJJEAPhJS4FS

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:00ff007052ffffff
Perceptual Hash:c4069f7a4f5a1f06
Difference Hash:39a6d6c696959462
Wavelet Hash:007f000040ffffff
Color Hash:#9e6ce0

Other Hashes

Crop Resistant:39a6d6c696959462,796971716d3d7179

Scan History

Scan history not available

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