Security Scan Report: www.deardoctor.com

Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 3 domains to perform 26 HTTP transactions. The main domain is deardoctor.com and was registered 29 years ago.

Submitted URL: https://www.deardoctor.com/inside-the-magazine/issue-19/nolan-gould/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Established dental-health magazine article interviewing actor Nolan Gould. No forms collecting credentials, no IoC/YARA/IDS phishing signals, no brand impersonation. Legitimate.

Safety Factors (5)
Well-established 29-year-old domain
No credential or payment forms
No Indicators of Compromise, YARA or Safe Browsing hits
Content matches site's own brand (Dear Doctor dental magazine)
IDS alerts are informational mobile-device-check heuristics only
Domain age information unavailable

Details

Page Title

Nolan Gould - Modern Family star talks dentistry and oral health

Scan Type

public

Domain Name Analysis

The domain 'www.deardoctor.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 10 characters in 'deardoctor' with 4 vowels and six consonants. Segmentation suggests 2 words: dear, doctor. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.deardoctor.com/inside-the-magazine/issue-19/nolan-gould/

Page Load Overview

1.82s
Total Load Time
237 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:54%
Script:Latin
Direction:ltr

Detection Details

Text Length:8,241 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
97%
social media network
97%
healthcare medical
90%
news media journalism
73%
education learning
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6192.124.249.52Menifee, California, United States
AS30148Sucuri
418.173.205.122Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
463.186.155.198Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
418.173.205.20Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
435.159.44.14Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
418.173.205.120Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
266--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112A21B0386E5031B415341D6BB9F779B6E92421FC3139ED438EC81B83BC9D69A93B4B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:l+kPCNQbVmHO/e+reRTewJBeiBpN65rT88C25zUAS+/e+reRTewJBeBuz7iMfvQ:8kPCNQhsOe6eleIeiDY588/5see6ele/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21970:hdTjUQBuEIBgYgFKAqBiggFAigGjFOhEMBY4ghmAEwMSYCNJDEKmJRQlCOAqAwyIeoASFkME3AiJxqsAzCCEwdEAk4QAhQYh

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:fbffe7e724243c3c
Perceptual Hash:b3edcc61234d23cc
Difference Hash:12b24c4d4d497969
Wavelet Hash:dbffe72424243c0c
Color Hash:#1f9357

Scan History

Scan history not available

Unable to load historical scan data