ScanMalware.com

Security Scan Report: www.makingascene.org

Site favicon
Submitted: Jun 25, 2026, 5:14:06 PMCompleted: Jun 25, 2026, 5:16:06 PMpubliccompleted
Loading additional data...

Summary

This website contacted 14 IPs in 3 countries across 14 domains to perform 2 HTTP transactions. The main domain is makingascene.org and was registered NaN years ago.

Submitted URL: https://www.makingascene.org/an-interview-with-david-clayton-thomas/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate entertainment blog with no phishing, malware, or credential‑harvesting indicators.

Safety Factors
Established domain age (>12 years)
Self‑branding aligns with domain
No malicious IoC, YARA, or IDS alerts
Only informational article content (og:type=article)
Domain age information unavailable

Details

Page Title

An Interview with David Clayton-Thomas – Making A Scene!

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(38%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.makingascene.org' is registered with subdomain 'www'. Count 12 characters in 'makingascene' split between 5 vowels and seven consonants. Breaking it apart gives three words: making, a, scene. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.makingascene.org/an-interview-with-david-clayton-thomas/

Page Load Overview

31.59s
Total Load Time
1358
HTTP Requests
48
Domains
34.6 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-US
Text Length:43,615 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media38% confidence
Type: webapp
Method: ml+structural

All Detected Categories

entertainment media
38%
news/blog
35%
forum
25%

Detected Features

Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9763.183.230.144Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
97192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
97142.251.14.97United States
AS15169Google LLC
97172.66.144.201United States
AS13335Cloudflare, Inc.
97142.251.127.84United States
AS15169Google LLC
9789.207.16.75Amsterdam, North Holland, Netherlands
AS41041Conversant LLC
97142.250.154.156United States
AS15169Google LLC
97199.36.158.100United States
AS54113Fastly, Inc.
97192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
97108.160.154.3United States
AS63410PrivateSystems Networks
135814--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EB462516A09403A262743CDBA64EF08E1F3F307D4D449C9FAF916B8C6C1DB6BDAB191

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1Khpei2Gk2jzwuBd6wFuSgSHpCUo0hiLfqY:1KCzGtjzwuBd6mCUCyY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500344:ASVFSILYAZBMAziGxAgFlVwhu4ShV4gAhAQChCAQCjilGyhRggZkAKUcagiPx4FAIJDyKMKAxAJKaJAIqwOAGWZgCIlTCSut

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:0000ffffffd9c767
Perceptual Hash:994f227908f38cf6
Difference Hash:4052b2b2b2b20ecc
Wavelet Hash:0000ffffdbd9c302
Color Hash:#93521f

Other Hashes

Crop Resistant:8aaa8ea4a2aab633,4052b2b2b2b20ecc

Scan History

Scan history not available

Unable to load historical scan data