Security Scan Report: www.visitgreensburg.com

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Submitted: Dec 2, 2025, 10:31:00 PMCompleted: Dec 2, 2025, 10:32:54 PMpubliccompleted
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Summary

This website contacted 67 IPs in 4 countries across 15 domains to perform 160 HTTP transactions. The main domain is visitgreensburg.com and was registered NaN years ago.

Submitted URL: https://www.visitgreensburg.com/listing/rebekah-park/15/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate local tourism page with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of credential‑harvesting or payment forms
No malicious Indicators of Compromise detected
Clear, non‑phishing content about a public park
Domain age information unavailable

Details

Page Title

Rebekah Park

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

The domain name 'www.visitgreensburg.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'visitgreensburg' covers 15 characters holding 5 vowels versus 10 consonants. It segments into two words: visit, greensburg. Median word length comes out to 7.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.visitgreensburg.com/listing/rebekah-park/15/

Page Load Overview

1.71s
Total Load Time
160
HTTP Requests
15
Domains
2.1 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:1,982 chars
Detector Agreement:75%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11923.50.131.152Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
282.23.154.88Vienna, Vienna, Austria
AS20940Akamai International B.V.
8216.239.32.36United States
AS15169GOOGLE
62.23.154.72Vienna, Vienna, Austria
AS20940Akamai International B.V.
5142.250.185.232United States
AS15169GOOGLE
4172.66.136.7United States
AS13335CLOUDFLARENET
4142.250.185.234United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3172.67.142.245United States
AS13335CLOUDFLARENET
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
16067--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15DA3D7517A9D4E3B104F31D2A0A4A34D506FFBB2ED4984D1B5FF02AC6BD1D90B50FA2A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:160hSDnEfrsPE5Z6QPE5r2MAFn1PaxnOG/p7Xe:16lPE53PE5r2BFn1PaxnOG/p7e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:106765:gDAQBYFrAkNEoEWISUGBwCQwEzBhIyJgRRAhCQ0TABgIwuBCaUQAAJi9AEbBekMNuHRRIjRACWAgYEoghgyumkBOEJODA4IP

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:0000fffff3f3f300
Perceptual Hash:ee1941641bd58fe4
Difference Hash:a181415567670657
Wavelet Hash:0000fffff3e3e300
Color Hash:#361f93

Scan History

Scan history not available

Unable to load historical scan data