Security Scan Report: heartwood.dynalinks.app

Redirected to:
https://heartwoodinns.com/treats/
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Submitted: Jul 27, 2026, 3:41:25 PMCompleted: Jul 27, 2026, 3:42:35 PMpubliccompleted
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Summary

This website contacted 25 IPs in 5 countries across 22 domains to perform 85 HTTP transactions. The main domain is heartwoodinns.com and was registered NaN years ago.

Submitted URL: https://heartwood.dynalinks.app/download?utm_source=Atreemo&utm_medium=email&utm_campaign=4721-HWI%20Summer%20Rose%20Non-Treats

Effective URL: https://heartwoodinns.com/treats/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

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

Safety Factors
Established domain age
Self‑branding without mismatch
Physical address and legal info present
No malicious JavaScript or external threats
Domain age information unavailable

Details

Page Title

Download Treats by Heartwood Inns | Heartwood Inns

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(52%)

Domain Information

The domain 'heartwood.dynalinks.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'heartwood'. The core label 'dynalinks' covers 9 characters split between two vowels and 7 consonants. Segmentation suggests 2 words: dyna, links. Median word length comes out to 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://heartwood.dynalinks.app/download?utm_source=Atreemo&utm_medium=email&utm_campaign=4721-HWI%20Summer%20Rose%20Non-Treats

Page Load Overview

7.36s
Total Load Time
85
HTTP Requests
22
Domains
2.6 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:19,866 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software52% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
52%
documentation technical
27%
cryptocurrency blockchain
26%
news/blog
20%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1376.76.21.21Walnut, California, United States
AS16509Amazon.com, Inc.
3157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3142.251.20.157Google · CDNUnited States
AS15169Google LLC
33.129.38.250Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
352.210.211.60Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
318.172.111.9Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
32.16.10.182Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3150.171.110.114Azure · CLOUDUnited States
AS8075Microsoft Corporation
366.33.60.194United States
AS16509Amazon.com, Inc.
3216.239.34.36Google · CDNUnited States
AS15169Google LLC
8525--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C042A72E1E44937026708C4ED36FB5DF086A14EEA6644817CFF82AAD3E4D74D4532BA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FYzNCPT2nv80JguU7loJpmSdLhMBDshVdXOi1IKMCEcWu9IUo/g7wrLeE5:FYy2nv8yOSdLhMhsHdXOi1IKMCEfZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:182707:JKvOAFwAFcBBIbEKAJqWYQoYB0QAhGFjyGCRRYVAwASAsAQHaAJByFlLCQaqjJSA8kAhGwGKEElUHgE4BzpBgQIgEQA0DUME

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:f19389c99993fffd
Perceptual Hash:e96de66c49c34919
Difference Hash:a3273b1b3b37d309
Wavelet Hash:d08389898983fff9
Color Hash:#6ce089

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data