Security Scan Report: engineering.tamu.edu

Submitted: Nov 14, 2025, 10:27:43 PMCompleted: Nov 14, 2025, 10:28:46 PMpubliccompleted
Loading additional data...

Summary

This website contacted 83 IPs in 0 countries across 19 domains to perform 98 HTTP transactions. The main domain is engineering.tamu.edu and was registered NaN years ago.

Submitted URL: https://engineering.tamu.edu/cse/profiles/jwelch.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate university faculty profile with no security concerns.

Safety Factors
Established academic domain
No suspicious forms or data collection
No external malicious links
Domain age information unavailable

Details

Page Title

Welch, Jennifer | Texas A&M University Engineering

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'engineering.tamu.edu' is registered; it also runs on subdomain 'engineering'. The registrable portion 'tamu' spans 4 characters containing 2 vowels alongside two consonants. Breaking it apart gives 2 words: t, amu. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://engineering.tamu.edu/cse/profiles/jwelch.html

Page Load Overview

15.85s
Total Load Time
98
HTTP Requests
19
Domains
988 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:2,825 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16216.239.34.36UnknownUnknown
135.156.221.51UnknownUnknown
1142.250.181.234UnknownUnknown
1157.240.0.35UnknownUnknown
174.125.71.154UnknownUnknown
120.250.198.32UnknownUnknown
165.9.175.24UnknownUnknown
1150.171.22.12UnknownUnknown
1172.217.18.3UnknownUnknown
165.9.175.12UnknownUnknown
9883--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE5321124B9C6437C22242D49265B718A0BF4B33F84519C6F2EE565C3FDEE4EBE0D629

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:TLM9fD66qKivnnnHkzVTCWJ2io2L2/2W2v2gqg4NCIJ7EfaDnCvXLYqzXl2TJwDp:XUqKInnnHkzVTCfJ2dXjD47C5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63876:gREIjhBACNFqIgAKAecDGOrkVYAZmAJbAQZoy8qYmAFyINCggiBgHIFIECAIqJMsEIhCbgAAAwIAECQpAISgVQ2EDCLOBzDU

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:0000fff797f7ffff
Perceptual Hash:be4919623e49cd9c
Difference Hash:3190202c2c0d303c
Wavelet Hash:00009f8787e79f9f
Color Hash:#d27992

Scan History

Scan history not available

Unable to load historical scan data