ScanMalware.com

Security Scan Report: philipcarlson.net

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/2d79e178-9484-4e8a-a3a2-87676192058cDomain and IP registration (RDAP)/api/v1/rdap/2d79e178-9484-4e8a-a3a2-87676192058cHow often this domain was scanned/api/v1/domain/stats/philipcarlson.netScan history for this domain/api/v1/domain/history/philipcarlson.net?limit=15
This website contacted 72 IPs in 5 countries across 17 domains to perform 146 HTTP transactions. The main domain is philipcarlson.net.

Submitted URL: http://philipcarlson.net/b074kl81kmdd48.html

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing site impersonating Audible/Amazon; do not trust.

Risk Factors (4)
Brand impersonation on an unranked, likely newly‑registered domain
Circular redirect indicating possible URL manipulation
Lack of legitimate brand domain (final URL does not match Audible/Amazon)
Unranked domain with high‑profile brand claims
Domain age information unavailable

Details

Page Title

Listen to Audiobooks written by Richard Osman | 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) without a subdomain. The core label 'philipcarlson' covers 13 characters holding 4 vowels versus 9 consonants. Segmentation suggests two words: philip, carlson. Median word length comes out to 6.5 characters. Most frequently, 'philip' shows up in Catalan. Usage also turns up in Danish and German contexts. Overall, 'philipcarlson.net' reads as Catalan.

Screenshot

Security scan screenshot of http://philipcarlson.net/b074kl81kmdd48.html

Page Load Overview

60.88s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-AU
Text Length:22,418 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media60% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
60%
adult content
48%
healthcare medical
39%
news media journalism
33%
government public service
26%

Detected Features

Search
OG: book

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
434.92.46.199Hong Kong, Hong Kong
AS396982GOOGLE-CLOUD-PLATFORM
299.86.4.39United States
AS16509AMAZON-02
23.167.226.84United States
AS16509AMAZON-02
23.167.226.76United States
AS16509AMAZON-02
23.167.226.177United States
AS16509AMAZON-02
299.86.4.15United States
AS16509AMAZON-02
263.140.62.172United States
AS16509AMAZON-02
254.190.210.56Boardman, Oregon, United States
AS16509AMAZON-02
2146.75.121.16Frankfurt am Main, Hesse, Germany
AS54113FASTLY
23.160.154.172United States
AS16509AMAZON-02
14672--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166B440F1E11237BB163352E86127BB5290908626DFF1494373ED87A417B9C47B21BB3A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:P2D6IWPb3v0DbERiXnS72oIlWe8DW4dHWzIZgOBqfET/TqTRT8TSTlTQBmUdrsqp:PLdn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500094:JxeRoFKdliIQZIGZek9IIJIw0DAFAC4ZEyCMZiAwgk8xAkdVHQAgBlNAQEUAqEwRAKKl8UYJwNoKMkAgqikFAEskIvDagEAk

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:df0065e7e7ffe7e7
Perceptual Hash:a30a0c9cf4f6dcca
Difference Hash:364f490c0d140e0c
Wavelet Hash:920024e7c3efc3e7
Color Hash:#6ce0a4

Other Hashes

Crop Resistant:364f490c0d140e0c,fb77737767e480a4

Scan History

Scan history not available

Unable to load historical scan data