Security Scan Report: www.rebeccamiller.net

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Submitted: Oct 16, 2025, 2:03:15 PMCompleted: Oct 16, 2025, 2:04:16 PMpubliccompleted
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Summary

This website contacted 29 IPs in 1 country across 7 domains to perform 154 HTTP transactions. The main domain is rebeccamiller.net and was registered NaN years ago.

Submitted URL: https://www.rebeccamiller.net/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears legitimate.

Safety Factors
Established domain age
No forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Conductor | Rebecca Miller

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(56%)

Domain Information

You're looking at domain 'www.rebeccamiller.net' on the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. The registrable portion 'rebeccamiller' spans 13 characters holding five vowels versus eight consonants. Word splitting yields 2 words: rebecca, miller. The median word length lands at 6.5 characters. The linguistic tilt is Catalan for 'rebecca'. You will also see it in Danish and English contexts.

Screenshot

Security scan screenshot of https://www.rebeccamiller.net/

Page Load Overview

24.76s
Total Load Time
154
HTTP Requests
7
Domains
1.6 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
Text Length:4,917 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning56% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
56%
entertainment media
49%
news media journalism
47%
government public service
42%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
534.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
534.236.210.139Ashburn, Virginia, United States
AS14618AMAZON-AES
599.86.4.90United States
AS16509AMAZON-02
5151.101.194.217San Francisco, California, United States
AS54113FASTLY
5151.101.2.217San Francisco, California, United States
AS54113FASTLY
534.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
534.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
599.86.4.125United States
AS16509AMAZON-02
518.206.0.20Ashburn, Virginia, United States
AS14618AMAZON-AES
554.221.236.172Ashburn, Virginia, United States
AS14618AMAZON-AES
15429--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T199C30A31FA1C1C3FB13385D9B572971BB393E52ACA8A0964AB6C877527C6DF17207608

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:PRyB3fN2rIBqBNXl3142SFmL1DH/4/H3S3a:PRyB3fN2rIBqBNXl3142SFmL1gaa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126669:kUiAAip8VBQkgFJBAgqYB/JY/YJCJABEiBYykAPkkJQJ1EQ/EBIAEISHQgEhzGKYhAGEAFjGaCvZRBVU8KggwAAlwsQQEC8E

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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