ScanMalware.com

Security Scan Report: doralhw.org

Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/8a622ecf-e78e-4819-b45e-b8a657bb2d3fDomain and IP registration (RDAP)/api/v1/rdap/8a622ecf-e78e-4819-b45e-b8a657bb2d3fHow often this domain was scanned/api/v1/domain/stats/doralhw.orgScan history for this domain/api/v1/domain/history/doralhw.org?limit=15
This website contacted 28 IPs in 3 countries across 24 domains to perform 114 HTTP transactions. The main domain is doralhw.org and was registered 7 years ago.

Submitted URL: https://doralhw.org/flu-symptoms-2026-whats-circulating-and-how-to-tell-it-from-covid/

AI Security Verdict

Safe Website

Confidence: 90%

1
Risk Score

Established Brooklyn health practice's own blog article on flu vs COVID. No forms, no impersonation, no threat-intel, hunting rule or IDS phishing evidence. Legitimate.

Safety Factors (5)
Established 7-year-old domain with physical addresses, phone numbers and privacy/SMS terms pages
Article content and healthcare topic classification match the domain's own brand
No credential, payment or login forms present
All script/analytics hosts (Clarity, Bing, Google, Zoho) are ranked, common third parties
No IoC, hunting rule, Safe Browsing or IDS phishing/malware evidence
Domain age information unavailable

Details

Page Title

Flu Symptoms 2026: What's Circulating And How To Tell It From COVID

Scan Type

public

Domain Name Analysis

The domain 'doralhw.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. The second-level label 'doralhw' is 7 characters long with 2 vowels and five consonants. Breaking it apart gives three words: doral, h, w. Median word length comes out to one character. No strong language cues emerged from the frequency lists.

Screenshot

@ 37 Fastern Pky, 351Knickerbocker 4S Jamaica Ave, 1220FastNY Ave, _5002Flatlands 9 777Pitkin Ave, @ WSBay St Staten 65-06 Myrtle Ave, Brooklyn ‘Ave, Brooklyn Brookiyn Brooklyn ‘Ave, Brooklyn Brookiy...

Page Load Overview

7.16s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:6,940 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical60% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
60%
news/blog
35%
corporate
35%
adult content
33%
government public service
32%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6204.93.224.22Chicago, Illinois, United States
AS23352DEFT.COM
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
4136.143.191.16United States
AS2639ZOHO
4142.251.110.97Google · CDNUnited States
AS15169Google LLC
4142.251.110.94Google · CDNUnited States
AS15169Google LLC
4185.20.209.147Switzerland
AS41913Computerline GmbH
418.66.102.11Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
420.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
465.9.130.6Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
11428--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T189F3E6B2BD46203A137F62CA5147672C22C2D1CECB4119E4B7FC52A8E7B5ED03AE255D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:/BFkdiVypuRpESPJj9xp9qiJRcnFYZ0I0tU/tj3ijNoulfo5eNIpIJKGCJPkksdr:DkPuFSu9R7LL20PO+Ne2iRCZl+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165471:A7kTAEBsDdigHMICRkZAEsDE7HkD2ORSAIKINECKOEcEBNBqCAI4MUAgEFJKWcILnpWAAAuGgAZwBwCA+Fi4RTAnBQyNgACB

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:00ffc1c1c1ffffff
Perceptual Hash:e96b96164933662e
Difference Hash:f12b031323361b36
Wavelet Hash:00e1818181fffff3
Color Hash:060180000c0

Other Hashes

Crop Resistant:f12b031323361b36,ffffdcd4d4dcfdff,3c49c980a2a22040,0f0d0d173f3657f9

Scan History

Scan history not available

Unable to load historical scan data