Security Scan Report: law.vanderbilt.edu

Site favicon
Submitted: May 23, 2026, 2:33:06 PMCompleted: May 23, 2026, 2:36:08 PMpubliccompleted
Loading additional data...

Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 37 HTTP transactions. The main domain is law.vanderbilt.edu and was registered NaN years ago.

Submitted URL: https://law.vanderbilt.edu/bio/brian-fitzpatrick/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Brian T. Fitzpatrick | Faculty Bio | Law School | Vanderbilt University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'law.vanderbilt.edu' is registered, featuring subdomain 'law'. The registrable portion 'vanderbilt' spans 10 characters split between 3 vowels and 7 consonants. Tokenizing the label suggests one word: vanderbilt. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://law.vanderbilt.edu/bio/brian-fitzpatrick/

Page Load Overview

N/A
Total Load Time
37
HTTP Requests
0
Domains
N/A
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:11,999 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
government public service
37%
news/blog
35%
corporate
35%
news media journalism
28%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7142.251.110.97United States
AS15169Google LLC
599.83.227.89United States
AS16509Amazon.com, Inc.
5185.172.148.128Germany
AS44239proinity GmbH
5104.17.24.14United States
AS13335Cloudflare, Inc.
5157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
518.66.102.88United States
AS16509Amazon.com, Inc.
5192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
07--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111F34CB2A2F521B18347C7CADE702A2D7A03409BDA250565BAED475C1F93DC5CC4BA8F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:n8ud8nsOrkukuIeQUzKRYoeIzY1mRPGbgf+hwxCN2ERYGnZvCI1u/6eLvxi:4poXexmRWn1u/6eLJi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:166798:goIBCFAUeAlKAhCBBAIxkAjCRAAVCXVoWECcGUKwIEQ3kIAAEUhKQeBAULOknQ4BIhGINWUCAQFEszCBKThSkICgQgEEIzCZ

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:7fcfcfffdbff0000
Perceptual Hash:b99326c76cc6c718
Difference Hash:c01a183232023036
Wavelet Hash:38cbcfffcbcb0000
Color Hash:#40862d

Other Hashes

Crop Resistant:c01a183232023036

Scan History

Scan history not available

Unable to load historical scan data