Security Scan Report: womencount.org

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Submitted: Jun 10, 2026, 3:53:37 AMCompleted: Jun 10, 2026, 3:55:10 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is womencount.org and was registered NaN years ago.

Submitted URL: https://womencount.org/candidate/nancy-lacore-sc-01/

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears legitimate with low risk; no phishing, malware, or credential collection observed.

Risk Factors
Domain not listed in Cisco Umbrella top 1M (unranked)
Safety Factors
Long‑standing domain age
Self‑brand matches domain
No password or payment fields
No malicious IoC or YARA detections
Content classified as news/blog
Domain age information unavailable

Details

Page Title

Nancy Lacore, SC-01 - WomenCount

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

news/blog

(60%)

Domain Information

You're looking at domain 'womencount.org' on the non-profit oriented generic top-level domain (.org) without a subdomain. Its registrable label 'womencount' stretches across 10 characters containing 4 vowels alongside 6 consonants. Breaking it apart gives two words: women, count. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://womencount.org/candidate/nancy-lacore-sc-01/

Page Load Overview

2.32s
Total Load Time
58
HTTP Requests
13
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:1,006 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog60% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
60%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1423.185.0.1United States
AS54113Fastly, Inc.
11142.251.127.97United States
AS15169Google LLC
11104.18.10.207United States
AS13335Cloudflare, Inc.
11184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
11157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
585--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F9329626495507237A782E8E1FAB208FA35D016EA45C9D4F6FC55BC9BC1EE140B3B3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8wKxWXGZSIc84zCypYUohp/+TwdoGeoH5fxpguSLlA8kIhssL1vY5YLYWXW0IBtV:8wKxWXGZ6z7qUohp/+K19XSlA8kIhBLA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92789:Tyoi8BpJkVgZADSFgQB1Wg0Rz1gZyJiIhBBSEAggckguIg5JiYUKMkAQACJZSEhgRUAPMxqYyp4UxKAVmiLVUgBpinID7rAa

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:8fffcfcfffffff00
Perceptual Hash:b9912f873b903b85
Difference Hash:5b8c9c969e809859
Wavelet Hash:03fe4e46667e7e00
Color Hash:#87c5ac

Scan History

Scan history not available

Unable to load historical scan data