Security Scan Report: aspirerecoverycenter.net

Redirected to:
https://www.dot-health.org/articles/how-to-choose-the-right-rehab-prog...
Submitted: Sep 30, 2026, 11:13:08 PMCompleted: Sep 30, 2026, 11:14:17 PMpubliccompleted

This website contacted 25 IPs in 3 countries across 12 domains to perform 77 HTTP transactions. The main domain is dot-health.org and was registered 21 years ago.

Submitted URL: https://aspirerecoverycenter.net

Effective URL:

https://www.dot-health.org/articles/how-to-choose-the-right-rehab-prog...
Redirected

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Informational health article reached via a marketing redirect chain. No forms, no impersonation, no threat-intel or malware signals. Low risk, but the off-site funnel warrants mild caution.

Risk Factors (2)
Cross-domain redirect from an unrelated domain (aspirerecoverycenter.net) to dot-health.org via tracking parameters, consistent with lead-generation funnels
Final domain dot-health.org has no Cisco Umbrella reputation (unranked)
Safety Factors (4)
No credential, password, or payment forms present
No threat-intelligence, YARA, IDS, or Safe Browsing matches
Content is benign informational health/medical material (classifier: healthcare medical 96%)
No JavaScript credential exfiltration detected; no DevTools blocking or anti-analysis behavior
Domain age information unavailable

Details

Page Title

How to Choose the Right Rehab Program | .Health

Scan Type

public

Domain Name Analysis

You're looking at domain 'aspirerecoverycenter.net' on the network infrastructure generic top-level domain (.net) with no subdomain. The core label 'aspirerecoverycenter' covers 20 characters split between eight vowels and 12 consonants. Tokenizing the label suggests 3 words: aspire, recovery, center. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://aspirerecoverycenter.net

Page Load Overview

1.28s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:72,219 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical96% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
96%
government public service
70%
adult content
61%
blog personal website
41%
news media journalism
41%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
515.197.148.33Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
323.207.210.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
343.205.79.201Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
3184.30.208.203Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
323.36.162.223Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3142.251.153.119Google · CDNUnited States
AS15169Google LLC
3142.251.13.155Google · CDNUnited States
AS15169Google LLC
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3142.251.13.94Google · CDNUnited States
AS15169Google LLC
3142.250.154.100Google · CDNUnited States
AS15169Google LLC
7725--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T131B092EDBC62E48868F536911EA3B60C185AA2E7B9018B4018C02876A96435FCD0BBC9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:PouVIZx/XMn30EEBuvFfD0OkADYyT0NV9kBbZ6iF4:hax/XW3/p5mmYyT0NVuB965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a3974caa901a0620a3364cc38d92cf4d

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:f3c3cfc7e7e76727
Perceptual Hash:a4ec04cc999b9b9b
Difference Hash:0606191d0c0ccccc
Wavelet Hash:bfc2c7c3c7c70504
Color Hash:#9953ac

Other Hashes

Crop Resistant:0606191d0c0ccccc

Scan History

Scan history not available

Unable to load historical scan data