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Security Scan Report: site.nyit.edu

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Submitted: Oct 23, 2025, 12:34:25 AMCompleted: Oct 23, 2025, 12:35:41 AMpubliccompleted
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Summary

This website contacted 67 IPs in 2 countries across 24 domains to perform 103 HTTP transactions. The main domain is site.nyit.edu and was registered NaN years ago.

Submitted URL: https://site.nyit.edu/bio/kosulliv

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate faculty bio page on NYIT website.

Safety Factors
Established domain age
Official educational institution domain
Absence of suspicious forms or scripts
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Kevin J. O’Sullivan | Bio | New York Tech

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

You're looking at domain 'site.nyit.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'site'. The core label 'nyit' covers 4 characters with 1 vowel and 3 consonants. Breaking it apart gives two words: ny, it. Average segment length settles at 2 characters. Most frequently, 'ny' shows up in English. You may catch it in Chinese (Pinyin) and Chinese (Zhuyin) as well.

Screenshot

Security scan screenshot of https://site.nyit.edu/bio/kosulliv

Page Load Overview

23.74s
Total Load Time
103
HTTP Requests
24
Domains
2.6 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-US
Text Length:4,348 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
healthcare medical
37%
documentation technical
30%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37216.239.32.36United States
AS15169GOOGLE
1143.204.98.55United States
AS16509AMAZON-02
1216.58.206.70United States
AS15169GOOGLE
1142.250.184.232United States
AS15169GOOGLE
123.185.0.4United States
AS54113FASTLY
1108.138.7.65United States
AS16509AMAZON-02
144.193.68.130Ashburn, Virginia, United States
AS14618AMAZON-AES
1150.171.22.12United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1142.250.184.196United States
AS15169GOOGLE
1142.250.186.166United States
AS15169GOOGLE
10367--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D93D8EB5EAE1038815B66946A7EF218B3B39007CF04DD6473FD6358DF42F9489A221D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0Uc7LhVdNq7XmOv2lJfeZNEAhHvwdNZgB+0lC1hp:0Ri2OvlY7p

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:95815:aIiAwDnwMwWJgIxwoqC8hggQWBVBDCNLg2oDO1MlaXBAEAAPksZCiglCEQMASBT4AQIBARyckJJRoIHg4GYPOgER4ERRbSkx

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:000000ffdfdfff00
Perceptual Hash:b84747b8b8c709a7
Difference Hash:3f29c9b5b4b606b7
Wavelet Hash:000000ffdfdfff03
Color Hash:#5391ac

Other Hashes

Crop Resistant:3f29c9b5b4b606b7,2727393935c9c931,4f6466646623b2b4,0171710931313101

Scan History

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