Security Scan Report: www.girlsgolf.org

Site favicon
Submitted: Oct 12, 2025, 1:46:57 PMCompleted: Oct 12, 2025, 1:48:23 PMpubliccompleted
Loading additional data...

Summary

This website contacted 47 IPs in 2 countries across 10 domains to perform 43 HTTP transactions. The main domain is girlsgolf.org and was registered NaN years ago.

Submitted URL: https://www.girlsgolf.org/

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Site shows unrelated major brand names on a well‑established domain, indicating high‑risk brand impersonation.

Risk Factors
Brand impersonation / typosquatting
Unranked domain displaying major brand names
Misleading "Login" link that may be used for credential harvesting
Domain age information unavailable

Details

Page Title

www.girlsgolf.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.girlsgolf.org' is registered; it also runs on subdomain 'www'. The registrable portion 'girlsgolf' spans 9 characters containing 2 vowels alongside 7 consonants. It segments into 2 words: girls, golf. Median word length is 4.5 characters. Most frequently, 'girls' shows up in English. It also appears in Chinese (Pinyin) and Breton contexts. Taken together, it feels English.

Screenshot

Security scan screenshot of https://www.girlsgolf.org/

Page Load Overview

41.02s
Total Load Time
43
HTTP Requests
10
Domains
6.6 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-us
Text Length:2,806 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
43172.172.111.129Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
0216.239.32.36United States
AS15169GOOGLE
0142.250.185.142United States
AS15169GOOGLE
0142.250.185.232United States
AS15169GOOGLE
0142.250.184.234United States
AS15169GOOGLE
0104.18.11.207United States
AS13335CLOUDFLARENET
0151.101.1.229San Francisco, California, United States
AS54113FASTLY
0104.18.10.207United States
AS13335CLOUDFLARENET
0142.250.185.78United States
AS15169GOOGLE
0142.250.186.67United States
AS15169GOOGLE
4347--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FEE2B6620164773B0713F3F43EB2FB6CA0C38619C7DE8A85F1E89C255791D929E2589B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:CnwdTVtztsjOLjQQ9SgENcbo88RiwhEZswhEK6fv1gjN/Z:DnpsjOLjnEgEAV8pg1GqRZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34082:jbBBBAgYgDUWoAwpbKw5C3QCJJgIyQlCYNFFBHAYGAAKzQLBEWDUgZAwmnAGRYCSumoQOnBYo1NAgwoyMQgiaEAdcvjQkAbo

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:007e3c3c3c383c3c
Perceptual Hash:c33a3c6d3a36124f
Difference Hash:0fc0ccccd0d0d0d0
Wavelet Hash:00ff3c3c3c3c383c
Color Hash:#2d77d2

Scan History

Scan history not available

Unable to load historical scan data