Security Scan Report: pelicanhill.com

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Submitted: Sep 5, 2026, 9:49:42 AMCompleted: Sep 5, 2026, 9:50:33 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 92%

3
Risk Score

The site appears legitimate, with self‑branding, no credential collection, and no malicious indicators.

Safety Factors (4)
Established domain age (>30 years)
Presence of legal pages (terms, privacy) and contact phone number
No external malicious resources or suspicious redirects
Self‑branding confirms legitimate ownership
Domain age information unavailable

Details

Page Title

World-class Golf Course in Newport Beach | Pelican Hill

Scan Type

public

Domain Name Analysis

Domain 'pelicanhill.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The registrable portion 'pelicanhill' spans 11 characters split between 4 vowels and seven consonants. Splitting it apart reveals two words: pelican, hill. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pelicanhill.com/golf/

Page Load Overview

0.23s
Total Load Time
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:4,687 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network60% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
60%
phishing scam
40%
corporate
35%
gambling betting
33%
adult content
26%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
0192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
0162.159.128.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
035.244.188.9Google · CDNKansas City, Missouri, United States
AS396982Google LLC
0192.0.78.140San Francisco, California, United States
AS2635Automattic, Inc
0184.24.77.167Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
16--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD83971162E084FD7EDF5B2A561EF7587209AE00C5896BEAB0B5E05819C9DBF04F370E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xoeJ+pi36DdXELLdhaG5EnypEvOiW1hRM/8:xoeJxIE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82087:EBqUwqBpSQHggMD0ANhQAIhiCXsgiHRAiEJgSoMAscEEjQkUOGkKIHiCBQIgLD3OCmSoJCBAF0E0AIEDcRKCkRPI6QEQoSAQ

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:1bff011110000303
Perceptual Hash:ac5aa55a1dad52a5
Difference Hash:3333473735a13626
Wavelet Hash:1fffbb11d1808383
Color Hash:#783a69

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data