Security Scan Report: health.cornell.edu

Submitted: Oct 6, 2025, 9:16:45 PMCompleted: Oct 6, 2025, 9:18:11 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is health.cornell.edu and was registered NaN years ago.

Submitted URL: https://health.cornell.edu/sites/health/files/pdf-library/depo-provera.pdf

The Cisco Umbrella rank of the primary domain is #382 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established university domain
High Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇧🇩

BN

(100% confidence)

Category

cryptocurrency blockchain

(83%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'health.cornell.edu' is registered and includes subdomain 'health'. The second-level label 'cornell' is 7 characters long containing two vowels alongside 5 consonants. Segmentation suggests 1 word: cornell. 'cornell' most strongly signals Bosnian. Secondary signals appear in Danish and German. Overall, 'health.cornell.edu' reads as Bosnian with single-word simplicity.

Screenshot

Security scan screenshot of https://health.cornell.edu/sites/health/files/pdf-library/depo-provera.pdf

Page Load Overview

10.10s
Total Load Time
2
HTTP Requests
1
Domains
426 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:100%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:100%
Script Type:Unknown
Text Length:315,762 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain83% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
83%
documentation technical
78%
download file sharing
78%
technology software
76%
healthcare medical
62%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2107.22.230.73Ashburn, Virginia, United States
AS14618AMAZON-AES
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15CF45B7BD4D6625E8AA0D39B24ACEEB3A2A33744E2435D0C34DD374647A1ECE0F914B5

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:490EkzPOxOTF9I30BlRs35aWV+UPsoXgalY:490EkzIOTFeEBlRa5a8+URXgalY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:764811:AZAIjBgjihIYoQBBNIBJGJFwipRDCGlFXhj05IfhYIwAypCkDtBpBwpIN4CqBNGhdDPWZQEQUMMgk4hxBoAhcFBBAm4BkDBA

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:1c1c1c1c1c1c1c1c
Perceptual Hash:9e6d732323636961
Difference Hash:30303030b0b0b4b0
Wavelet Hash:1c9e9e1c1e1e1e1e
Color Hash:#98c587

Scan History

Scan history not available

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