Security Scan Report: www.mskcc.org

Site favicon
Submitted: Nov 4, 2025, 11:02:50 PMCompleted: Nov 4, 2025, 11:06:05 PMpubliccompleted
Loading additional data...

Summary

This website contacted 95 IPs in 3 countries across 21 domains to perform 80 HTTP transactions. The main domain is mskcc.org and was registered NaN years ago.

Submitted URL: https://www.mskcc.org/cancer-care/doctors/luis-diaz-jr

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain with long registration history
Official brand domain
No suspicious forms or redirects
Domain age information unavailable

Details

Page Title

Luis Diaz Jr., MD - MSK Gastrointestinal Medical Oncologist

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(84%)

Domain Information

The domain name 'www.mskcc.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'www'. Count 5 characters in 'mskcc' containing 0 vowels alongside five consonants. Segmentation suggests 2 words: ms, kcc. Expect 2.5 characters per word on average. The linguistic tilt is Sinhala for 'ms'. You will also see it in Bengali and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://www.mskcc.org/cancer-care/doctors/luis-diaz-jr

Page Load Overview

8.30s
Total Load Time
80
HTTP Requests
21
Domains
1.3 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:25,296 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical84% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
84%
technology software
75%
government public service
66%
documentation technical
61%
social media network
46%

Detected Features

Search
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
80143.204.215.48United States
AS16509AMAZON-02
36104.18.23.60United States
AS13335CLOUDFLARENET
10146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
718.245.86.81United States
AS16509AMAZON-02
5143.204.215.33United States
AS16509AMAZON-02
318.244.18.13United States
AS16509AMAZON-02
3142.250.181.234United States
AS15169GOOGLE
2104.18.0.22United States
AS13335CLOUDFLARENET
2162.247.241.14United States
AS23467NEWRELIC-AS-1
118.66.122.83United States
AS16509AMAZON-02
8095--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T198C45AA5B3D0203B83D749F369618942F3669089DA854444F5FC5BA80B81EC3DBB7B7B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:K1KE0Caic1quwkM4RpofF9ZmN/xzmsnejK//ECbqt6YmiIkWf19GD2jvRA4RAqXR:Qe1SuqDxCA8XhkBWQsl6K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:550493:YAjWEGAg0sETVERZAOAIhMIhCMAAKgBSMBPDLCZkGBQAYCAwrQgCXdMHguKggKjCByMKCKEURIAQFCHQRKTDJqiZsgDCUUhF

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:ff0100000000ffff
Perceptual Hash:9a66ec53b4a412ed
Difference Hash:3923dddcd9d92b36
Wavelet Hash:fffd00000004ffff
Color Hash:#401f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data