Security Scan Report: rebecca-lowe.com

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Submitted: Jun 11, 2026, 9:48:06 PMCompleted: Jun 11, 2026, 9:49:16 PMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 4 domains to perform 2 HTTP transactions. The main domain is rebecca-lowe.com and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site appears to be a legitimate personal page with no signs of phishing, malware, or other scams.

Safety Factors
Established domain age
Self‑branding aligns with domain
Absence of malicious indicators
Domain age information unavailable

Details

Page Title

Rebecca Lowe

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(54%)

Domain Information

Within the commercial generic top-level domain (.com), 'rebecca-lowe.com' is registered with no subdomain. Count 12 characters in 'rebecca-lowe' with 5 vowels and six consonants; it also includes one hyphen. Splitting it apart reveals 2 words: rebecca, lowe. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.59s
Total Load Time
33
HTTP Requests
8
Domains
654 KB
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:1,294 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism54% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
54%
adult content
38%
blog personal website
38%
corporate
25%

Detected Features

Articles
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
8192.0.78.25San Francisco, California, United States
AS2635Automattic, Inc
8192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
8192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
334--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BD43E872A06C44367B2D5B96F0167329A056EF39C7459AF970F6146C8EC2DFB02A332D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:BbTypJiW1hRM/FoKGbxbpY+wRCmrUcs+fVXBl+eHX6ap:B+rKGbxYUcXfVXP+eHz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57980:MKx4IzSwzCwARC1ACISAArMWBFUWACJUKPMRFBWcEoEl1JByO0GEQSFKAESEDFIkSGcliFlIJEhYsE5IYBhRAIgIAoIIIQUF

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:ffff0000000000ff
Perceptual Hash:da87b553ab426c46
Difference Hash:1036a16949899933
Wavelet Hash:fffffd20000000ff
Color Hash:#ac5393

Scan History

Scan history not available

Unable to load historical scan data