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Security Scan Report: www.stanfordchildrens.org

Submitted: Oct 30, 2025, 3:47:50 PMCompleted: Oct 30, 2025, 3:52:07 PMpubliccompleted
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Summary

This website contacted 94 IPs in 4 countries across 20 domains to perform 81 HTTP transactions. The main domain is stanfordchildrens.org and was registered NaN years ago.

Submitted URL: https://www.stanfordchildrens.org/en/topic/default?id=picky-eating-or-eating-disorder-88-p11049

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate Stanford Medicine Children's Health domain with no security concerns.

Safety Factors
Domain is over 12 years old and belongs to a reputable medical institution
No malicious Indicators of Compromise matches found
No credential or payment forms present
Page is a standard 404 error page
Domain age information unavailable

Details

Page Title

404 - Stanford Medicine Children's Health

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(76%)

Domain Information

Domain 'www.stanfordchildrens.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'www'. The second-level label 'stanfordchildrens' is 17 characters long with four vowels and 13 consonants. Tokenizing the label suggests 2 words: stanford, childrens. The median word length lands at 8.5 characters. 'stanford' most strongly signals English. Usage also turns up in Portuguese (Brazil) and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://www.stanfordchildrens.org/en/topic/default?id=picky-eating-or-eating-disorder-88-p11049

Page Load Overview

2.51s
Total Load Time
81
HTTP Requests
20
Domains
2.3 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:3,473 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical76% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
76%
education learning
75%
documentation technical
68%
government public service
37%
finance banking
36%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3513.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
6172.66.171.172United States
AS13335CLOUDFLARENET
523.35.236.237Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
4216.239.32.36United States
AS15169GOOGLE
4104.19.147.8United States
AS13335CLOUDFLARENET
4142.250.185.72United States
AS15169GOOGLE
3142.250.186.174United States
AS15169GOOGLE
323.36.162.216Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2188.114.97.3United States
AS13335CLOUDFLARENET
252.210.253.66Dublin, Leinster, Ireland
AS16509AMAZON-02
8194--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0D3F82296F01436515F71A6F7B0630BB953EB0BD6C6AFF0B49D83582FC6E899C13948

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DlY9qcvSU2EzIIyHiAEtG05jfrKZLCJsT8h9pM7ks/ELkclRYGJhabO+DS:Dl4qc8HTEtCVT8h9pMcfhz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:136189:NMkU20QkiAAZIEKARDAAAFCGuGAAFSCrgYyl0cFKAdSUpKIScgggGRNcOAKIIIAjWhkTHMAjBWuSabKISBghElCEAaloAAAh

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:3000ffffffd90087
Perceptual Hash:9f150f4b95c1e1b4
Difference Hash:426a3c382429696e
Wavelet Hash:bf00ffffff100000
Color Hash:#87c5bb

Other Hashes

Crop Resistant:426a3c382429696e,060616eaea962606

Scan History

Scan history not available

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