Security Scan Report: rebecca-miller.com

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Submitted: Oct 16, 2025, 1:50:57 PMCompleted: Oct 16, 2025, 1:52:35 PMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 7 domains to perform 61 HTTP transactions. The main domain is rebecca-miller.com and was registered NaN years ago.

Submitted URL: https://rebecca-miller.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate personal website with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No suspicious forms or redirects
Clear personal branding
Domain age information unavailable

Details

Page Title

Rebecca Miller | Official Website |

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(56%)

Domain Information

The domain name 'rebecca-miller.com' uses the commercial generic top-level domain (.com) and has no subdomain. Count 14 characters in 'rebecca-miller' holding five vowels versus eight consonants; it also includes 1 hyphen. Breaking it apart gives two words: rebecca, miller. Average segment length settles at 6.5 characters. 'rebecca' is most common in Catalan usage. Secondary signals appear in Danish and English.

Screenshot

Security scan screenshot of https://rebecca-miller.com/

Page Load Overview

56.89s
Total Load Time
61
HTTP Requests
7
Domains
2.5 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:2,472 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media56% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
56%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4162.247.243.39United States
AS54113FASTLY
3104.18.0.22United States
AS13335CLOUDFLARENET
3216.58.212.138United States
AS15169GOOGLE
3162.243.241.71Secaucus, New Jersey, United States
AS14061DIGITALOCEAN-ASN
3162.247.243.29United States
AS54113FASTLY
3104.26.12.10United States
AS13335CLOUDFLARENET
3104.26.13.10United States
AS13335CLOUDFLARENET
3172.67.70.82United States
AS13335CLOUDFLARENET
3104.18.1.22United States
AS13335CLOUDFLARENET
3146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
6120--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA435C817798A47B431342D9E037D688F25E4435A612CCC8FAFE4AB9FAC8CD4907A57D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:DwaN7SsciLapg+sZpb/hQVIwCeHWTx1h7lRgG0z34w18LTQ1Wp7v3txSw7HI4EsI:DtkGsB8b33SvQvOemtyMKh9WY+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57129:BsklADPgJAGRAGgI9ADQgBE0QOogogKAibpsDAkhwACngkUW4AQliGYDogGScDsMVYAksBcoYlETWwRi4AkMIKDTELoBgEMk

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:0000f7373f1f1c00
Perceptual Hash:896670192f96adf1
Difference Hash:319aee677b333901
Wavelet Hash:005aff373f3f1c00
Color Hash:#32d22d

Scan History

Scan history not available

Unable to load historical scan data