Security Scan Report: www.park.edu

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Submitted: Jun 15, 2026, 10:40:33 AMCompleted: Jun 15, 2026, 10:58:27 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is park.edu and was registered NaN years ago.

Submitted URL: https://www.park.edu/blog/what-is-influencer-marketing-strategies-and-best-practices/

The Cisco Umbrella rank of the primary domain is #615,960 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The page is a legitimate educational article with no phishing, credential harvesting, or malware indicators.

Safety Factors
Established domain age (10873 days)
Self‑branding aligns with domain
Absence of forms collecting credentials
No IoC, YARA, or IDS alerts
Only normal analytics/advertising external domains
Domain age information unavailable

Details

Page Title

What Is Influencer Marketing? Top Strategies | Park University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain 'www.park.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'www'. The core label 'park' covers 4 characters with 1 vowel and three consonants. Segmentation suggests 1 word: park. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.park.edu/blog/what-is-influencer-marketing-strategies-and-best-practices/

Page Load Overview

4.43s
Total Load Time
93
HTTP Requests
41
Domains
1.6 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
Text Length:14,855 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
corporate
35%
entertainment media
29%
news media journalism
27%
education learning
26%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.18.65.57United States
AS13335Cloudflare, Inc.
15142.251.13.95United States
AS15169Google LLC
1535.174.48.113Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
15184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1523.185.0.2United States
AS54113Fastly, Inc.
15142.251.20.95United States
AS15169Google LLC
936--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128C34BE71948B13EC3A357C4A43AFA14F1534049DF8948B0A7FC82ADE685FD5A03766E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wmxWXGZWSk869AuXSAsSZ2FI6qZuWAd/GpgYGN0:nkFS4uWwS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127932:PGAAnRNShiXhRAnSCagKCAQCiYQUABAIbEQDQuR4AQABCIwIgEAhxQm1iMgseRUhwoHICgQo43jAQCjHBAxJ4IEQrQZQWVQK

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:0000ffdbfffbfbff
Perceptual Hash:e912126d92e9ed96
Difference Hash:412d323333333338
Wavelet Hash:0000fb899bf9f98f
Color Hash:#3b783a

Scan History

Scan history not available

Unable to load historical scan data