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Security Scan Report: womenshealth.gov

Submitted: Nov 24, 2025, 5:36:35 PMCompleted: Nov 24, 2025, 5:41:25 PMpubliccompleted
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Summary

This website contacted 70 IPs in 4 countries across 25 domains to perform 115 HTTP transactions. The main domain is womenshealth.gov and was registered NaN years ago.

Submitted URL: https://womenshealth.gov/

The Cisco Umbrella rank of the primary domain is #789,004 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate US government site with no security concerns.

Safety Factors
Official US government domain
Long-established domain age
No malicious Indicators of Compromise
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

OASH | Office on Women's Health

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(54%)

Domain Information

The domain 'womenshealth.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'womenshealth' is 12 characters long holding 4 vowels versus 8 consonants. Breaking it apart gives two words: womens, health. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://womenshealth.gov/

Page Load Overview

1.57s
Total Load Time
115
HTTP Requests
25
Domains
2.0 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:5,585 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service54% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
54%
healthcare medical
49%
government
48%
blog personal website
25%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
693.162.103.109United States
AS16509AMAZON-02
6146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113FASTLY
5216.239.34.36United States
AS15169GOOGLE
535.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
4142.250.185.232United States
AS15169GOOGLE
4150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2142.250.181.227United States
AS15169GOOGLE
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2172.66.171.172United States
AS13335CLOUDFLARENET
11570--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E973831146E4303B1193A2F17AA17F29E983846BEB0A0D45B6FC03A9FF9BF451D2761D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:sfo+ZKlZztQfbN7b0wq46Ukyyo2mq6QYZIrek2u//7dfBkXY4HPqf3JrvPjmmQ9P:brCpx6tP6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74569:mE4dhFQBAHCRiwYAdkAgCAAAjOSVgwMQMJgcaXdiCBcm0UGg2IAABA+1TRiy5LOMYqEqoRAJCTGdKggBAAagAhItqOkAQBEC

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:80ff00838383dfff
Perceptual Hash:be4fd93666463141
Difference Hash:3b3365272f2f2f2b
Wavelet Hash:00ff00838383efff
Color Hash:#3a784a

Other Hashes

Crop Resistant:3b3365272f2f2f2b,cdc3ca8ca0b36369,0141212121214181,419189c9e1919341,febdfff6e5f1d9cd,06260a989c2c5858

Scan History

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