Security Scan Report: www.ocala.com

Redirected to:
https://eu.ocala.com/videos/entertainment/entertainthis/2025/10/31/hei...
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Submitted: Oct 31, 2025, 1:35:40 PMCompleted: Oct 31, 2025, 1:36:26 PMpubliccompleted
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Summary

This website contacted 32 IPs in 3 countries across 23 domains to perform 225 HTTP transactions. The main domain is eu.ocala.com and was registered NaN years ago.

Submitted URL: https://www.ocala.com/videos/entertainment/entertainthis/2025/10/31/heidi-klum-halloween-costume-tips/86999096007/

Effective URL: https://eu.ocala.com/videos/entertainment/entertainthis/2025/10/31/heidi-klum-halloween-costume-tips/86999096007/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing reputable news domain
Standard privacy/cookie consent banner (non‑malicious)
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Heidi Klum's big Halloween tip plus a few surprising costume hacks

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(74%)

Domain Information

The domain name 'www.ocala.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'ocala' spans 5 characters split between three vowels and two consonants. Word splitting yields one word: ocala. Average segment length settles at 5 characters. 'tocala' is most common in Galician usage. Usage also turns up in Polish and Romanian contexts. Net impression: Galician phrase with single-word simplicity.

Screenshot

Security scan screenshot of https://www.ocala.com/videos/entertainment/entertainthis/2025/10/31/heidi-klum-halloween-costume-tips/86999096007/

Page Load Overview

8.59s
Total Load Time
225
HTTP Requests
23
Domains
8.1 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
Text Length:15,655 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software74% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
74%
government public service
67%
blog personal website
65%
news media journalism
64%
documentation technical
55%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.18.87.42United States
AS13335CLOUDFLARENET
7151.101.129.91San Francisco, California, United States
AS54113FASTLY
7146.75.122.62Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7142.250.181.234United States
AS15169GOOGLE
7146.75.121.44Frankfurt am Main, Hesse, Germany
AS54113FASTLY
7142.250.186.38United States
AS15169GOOGLE
7141.226.228.48Netherlands
AS200478Taboola.com ltd
718.244.18.38United States
AS16509AMAZON-02
7216.58.206.72United States
AS15169GOOGLE
7142.250.186.98United States
AS15169GOOGLE
22532--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E54D56B3A54232EE6D78749AA923B857520885FFD335CDCF58C53384BCEBE20D1164A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+ZaHxeWdnX95AU0bc8Akx73s0nYOvfTKMcKa/ihOPBxBWZxbBB7Yhp6tYvy3jdmk:THxeWdnXcxov5NTee6vgSPAikA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:286047:XAIgtaQGTJRCJmAzUIlQRxJkdETDQQmDCkKCMoYCACkEwJCKAGDgGQKxExogABZ9AEhGXMTSB7EEUGpIKZkoBUbA46BwAcTF

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:e3c1c1c3e3ffffff
Perceptual Hash:e1619e9e96898e96
Difference Hash:cb8f878f8e689680
Wavelet Hash:c1c1c1c1c3f303ff
Color Hash:#53ac96

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data