Security Scan Report: www.healthcentral.com

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Submitted: Aug 2, 2026, 10:01:38 AMCompleted: Aug 2, 2026, 10:02:59 AMpubliccompleted
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Summary

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

Submitted URL: https://www.healthcentral.com/condition/multiple-sclerosis/what-jamie-lynn-sigler-wants-you-to-know-about-ms

The Cisco Umbrella rank of the primary domain is #312,391 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The site shows its own brand, has no forms or malicious indicators, and is hosted on a long‑standing domain – no scam evidence detected.

Safety Factors
Long-established domain
No malicious network alerts
No external malicious resources
No form-based data collection
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by datadome bot protection. Our scanner was challenged or blocked during access.

Page Title

healthcentral.com

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.healthcentral.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'healthcentral' spans 13 characters holding 4 vowels versus nine consonants. Splitting it apart reveals two words: health, central. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.healthcentral.com/condition/multiple-sclerosis/what-jamie-lynn-sigler-wants-you-to-know-about-ms

Page Load Overview

0.66s
Total Load Time
8
HTTP Requests
4
Domains
20 KB
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:17 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
866.33.60.193United States
AS16509Amazon.com, Inc.
0142.251.14.154Google · CDNUnited States
AS15169Google LLC
03.171.214.34Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
013.33.187.2Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
0184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
023.52.181.12Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
018.245.31.112Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
013.33.217.187Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
0172.67.70.206Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.17.72.206Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
810--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14331C3B7CC42872C0D102637F6F0E1E80811880BFBAADCD0B4A8CB5959853F2492117D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nmX8q05CBtrV9jCNu+A2D580Au9HYUY8q:nJGB13jWuKD5HxYU3q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1562:AgIEBghAwAAAAQQAAAAAAEAABEAAQIAAAAACAAAAAQBBAAAAgAgAAACAABAAAAAAACAAEAAAAAQMACwQAIAAAAAIAAEAAAAA

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:e7e7ffc70000ffff
Perceptual Hash:b3a6c63333cc8c33
Difference Hash:0c0c001858580000
Wavelet Hash:2424ff000000ffff
Color Hash:#6ce0a2

Other Hashes

Crop Resistant:0c0c001858580000

Scan History

Scan history not available

Unable to load historical scan data