Security Scan Report: www.independentwomen.com

Submitted: Nov 24, 2025, 9:53:43 PMCompleted: Nov 24, 2025, 9:56:19 PMpubliccompleted
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Summary

This website contacted 136 IPs in 5 countries across 32 domains to perform 121 HTTP transactions. The main domain is independentwomen.com and was registered NaN years ago.

Submitted URL: https://www.independentwomen.com/people/riley-gaines/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no observable security threats.

Safety Factors
Long‑standing domain registration
Standard hosting without suspicious cloud or IPFS storage
No password or payment forms targeting credentials
Domain age information unavailable

Details

Page Title

Riley Gaines

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(36%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.independentwomen.com' is registered; it also runs on subdomain 'www'. Its registrable label 'independentwomen' stretches across 16 characters with six vowels and 10 consonants. Tokenizing the label suggests two words: independent, women. Median word length is 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.independentwomen.com/people/riley-gaines/

Page Load Overview

2.22s
Total Load Time
121
HTTP Requests
32
Domains
4.7 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:5,312 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
36%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43188.114.97.3United States
AS13335CLOUDFLARENET
13104.18.40.68United States
AS13335CLOUDFLARENET
6104.75.88.209Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
418.245.86.120United States
AS16509AMAZON-02
4172.66.0.227United States
AS13335CLOUDFLARENET
4142.250.186.99United States
AS15169GOOGLE
3151.101.129.229San Francisco, California, United States
AS54113FASTLY
3142.250.185.202United States
AS15169GOOGLE
3142.250.186.68United States
AS15169GOOGLE
3150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
121136--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A615B5519C51002FD4623CA678E2BF2C3CEAA1218F508866F53A8D553FF5C6E706F7A6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:P+i7WB7zI7WIn7DQjoPMm7NUPPfTLm9boN7VcWqN979KvIpqqx7MKeA6qdp7LKX0:qA9MPXm9baPUl/Vfya

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:948036:AZikYFKxEQR0QaWR4CAEAECYg0JjP0cCAZArtwtQBDVgIsqDTHAAQJF8wAZKBQkAmaSAAAJiQwAACEEkQqMoLpJaIIFFCACh

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:ffe3c3c3c3c3ffff
Perceptual Hash:e1639e964a98f1c9
Difference Hash:498f0f0f0f97163a
Wavelet Hash:00c3c1c1c1c3efff
Color Hash:#ac9753

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data