Security Scan Report: www.vet.cornell.edu

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Submitted: Jan 4, 2026, 5:04:07 PMCompleted: Jan 4, 2026, 5:05:38 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 9 domains to perform 75 HTTP transactions. The main domain is vet.cornell.edu and was registered NaN years ago.

Submitted URL: https://www.vet.cornell.edu/departments-centers-and-institutes/baker-institute-animal-health/research-baker-institute/h5n1-avian-influenza-bird-flu

The Cisco Umbrella rank of the primary domain is #525 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Cornell University page with no security concerns.

Safety Factors
Established academic institution (Cornell University)
Standard hosting without IPFS or cloud storage
Content pertains to public health research
Domain age information unavailable

Details

Page Title

H5N1 Avian Influenza (bird flu) | Cornell University College of Veterinary Medicine

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

education

(45%)

Domain Information

Domain 'www.vet.cornell.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www.vet'. The registrable portion 'cornell' spans 7 characters with 2 vowels and 5 consonants. Segmentation suggests one word: cornell. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.vet.cornell.edu/departments-centers-and-institutes/baker-institute-animal-health/research-baker-institute/h5n1-avian-influenza-bird-flu

Page Load Overview

4.37s
Total Load Time
75
HTTP Requests
9
Domains
2.3 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:5,690 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
healthcare medical
34%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1523.185.0.3United States
AS54113FASTLY
6184.24.77.156Germany
6104.21.27.152United States
AS13335CLOUDFLARENET
6188.114.97.3Germany
6142.250.186.104United States
AS15169GOOGLE
618.156.149.51GermanyUnknown
6172.67.142.245United States
AS13335CLOUDFLARENET
6188.114.96.3United States
AS13335CLOUDFLARENET
6142.250.186.170United States
AS15169GOOGLE
6184.24.77.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7511--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10113C522ABE4103B856292C1A13D272DDAD3D41BE30F0A85B2AC4B5D9FDBD84791375F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:mhH2i8mgQuoytm19zHeeXPJActDVpbV/QdB1kW3215EEYrCpPv15F+XQ10qmt+Bi:moi8mgQom19zHPXPJAGhrI71kWG0EYrN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41585:gADihSAQgRGrY1FCdChGDCiEQ4FUQIGCDE8LCABIhjCcYTBpYkigxQQGCkE4YQpb9oHJMYoBxSABxANBIBIiXM/ywYpwjRhU

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:00ffffff87878787
Perceptual Hash:bec11f36444b4937
Difference Hash:3034132b2c2d2d2d
Wavelet Hash:00d8fb9b87878787
Color Hash:#86762d

Scan History

Scan history not available

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