Security Scan Report: lab.vanderbilt.edu

Site favicon
Submitted: Dec 26, 2025, 10:25:15 AMCompleted: Dec 26, 2025, 10:26:22 AMpubliccompleted
Loading additional data...

Summary

This website contacted 16 IPs in 2 countries across 18 domains to perform 60 HTTP transactions. The main domain is lab.vanderbilt.edu and was registered NaN years ago.

Submitted URL: https://lab.vanderbilt.edu

The Cisco Umbrella rank of the primary domain is #102,040 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university site with no security concerns.

Safety Factors
Established domain age (>10 years)
Belongs to a recognized academic institution
No suspicious forms or data collection
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Vanderbilt University Labs | Vanderbilt University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

gambling betting

(95%)

Domain Information

The domain name 'lab.vanderbilt.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'lab'. Count 10 characters in 'vanderbilt' split between 3 vowels and seven consonants. It segments into 1 word: vanderbilt. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lab.vanderbilt.edu

Page Load Overview

12.31s
Total Load Time
99
HTTP Requests
27
Domains
2.8 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
Text Length:11,358 chars
Detector Agreement:60%

Website Classification

Primary Category

gambling betting95% confidence
Type: spa
Method: ml+structural

All Detected Categories

gambling betting
95%
entertainment media
82%
government public service
56%
education
45%
news/blog
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9142.250.74.202United States
6104.18.10.207United States
AS13335CLOUDFLARENET
6142.250.184.234Ireland
6104.21.27.152United States
AS13335CLOUDFLARENET
664.233.184.154Unknown
6142.250.186.99Unknown
6157.240.0.6UnknownUnknown
6142.250.185.232UnknownUnknown
63.160.150.14UnknownUnknown
654.237.136.190Ashburn, Virginia, United States
AS14618AMAZON-AES
9916--

Detected Technologies7

JQueryv1.11.2
100%
Bootstrapv201710
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D953337253D650769339958DCE60F62C8106C0A6CD6256B3BCEECD0A7F15AA38C1B36F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:O4rCdIRapFMNi0QQGj5r/bhRjBp75gwfIZEc6NdE:9wbMNi0QQGj5r359c6zE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64372:rCW0iEEAhAgIQgBhgmIBASCCORwbBBVuFYgBEYCCFohkIwQV6RwryiehEALAhAGMDihDFxEob9hTqBEDkQgVQCREQgABAADg

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:0000ffffffffc383
Perceptual Hash:bd42685278ba96b9
Difference Hash:9592664063403333
Wavelet Hash:0000bfbfbfbf8181
Color Hash:#d29e2d

Scan History

Scan history not available

Unable to load historical scan data