Security Scan Report: artsci.tamu.edu

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Submitted: Oct 23, 2025, 12:32:03 AMCompleted: Oct 23, 2025, 12:33:14 AMpubliccompleted
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Summary

This website contacted 29 IPs in 2 countries across 8 domains to perform 40 HTTP transactions. The main domain is artsci.tamu.edu and was registered NaN years ago.

Submitted URL: https://artsci.tamu.edu/english/contact/profiles/kevin-osullivan.html

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university faculty profile page with no security concerns.

Safety Factors
Official subdomain of tamu.edu, a recognized academic institution
Long domain age and minimal reputation risk
Content aligns with university staff directory
Domain age information unavailable

Details

Page Title

Kevin O'Sullivan | Texas A&M University College of Arts and Sciences

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

Domain 'artsci.tamu.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'artsci'. The registrable portion 'tamu' spans 4 characters with 2 vowels and 2 consonants. Segmentation suggests 2 words: t, amu. Expect 2 characters per word on average. The linguistic tilt is Catalan for 't'. You may catch it in Chinese (Zhuyin) and Indonesian as well.

Screenshot

Security scan screenshot of https://artsci.tamu.edu/english/contact/profiles/kevin-osullivan.html

Page Load Overview

30.19s
Total Load Time
40
HTTP Requests
8
Domains
566 KB
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:4,471 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: dynamic
Method: structural

All Detected Categories

education
90%
forum
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1213.225.222.8United States
AS16509AMAZON-02
113.225.222.61United States
AS16509AMAZON-02
1142.250.186.42United States
AS15169GOOGLE
1216.58.206.40United States
AS15169GOOGLE
113.225.222.102United States
AS16509AMAZON-02
113.32.27.57New York, New York, United States
AS16509AMAZON-02
1216.58.206.35United States
AS15169GOOGLE
1172.64.147.188United States
AS13335CLOUDFLARENET
113.225.222.46United States
AS16509AMAZON-02
1104.18.40.68United States
AS13335CLOUDFLARENET
4029--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9E2D82399553533837342C8A7B6BF2462C38529E9091D16F2ED8BBC17E7D83BE08619

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:OQ3QmQ29himD1+6OOOXrN97XLZHwD6MTvq4Sfgu8thMKa4+dDu900H:6mD1dOOOXrN97SDZ3hMuUK900H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31700:5EEQCgZEIAQgUOwgNAjIAUSA4IQIoAwDp5EJAA0LGmIsEEUCEYJAK9RJEAAIlwJqoAQwZuFqgPgDAJQMiFEMQMEYFXhigQOB

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:00ff9f9f9f9fffff
Perceptual Hash:be7b411e3e61414e
Difference Hash:2938382c2c303020
Wavelet Hash:00009f87879f9f9f
Color Hash:#3a3a78

Scan History

Scan history not available

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