Security Scan Report: exhibits.stanford.edu

Submitted: Mar 20, 2026, 8:56:17 PMCompleted: Mar 20, 2026, 8:57:48 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is exhibits.stanford.edu and was registered NaN years ago.

Submitted URL: https://exhibits.stanford.edu/saytheirnames/feature/breonna-taylor

The Cisco Umbrella rank of the primary domain is #29,835 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate informational page about Breonna Taylor hosted on Stanford University's exhibit site.

Safety Factors
Established, well‑known institutional domain
Top‑ranked in Cisco Umbrella
No malicious Indicators of Compromise
No credential or payment collection forms
No suspicious JavaScript or redirects
Domain age information unavailable

Details

Page Title

Request Rejected

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(74%)

Domain Information

Domain 'exhibits.stanford.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'exhibits'. Its registrable label 'stanford' stretches across 8 characters containing two vowels alongside 6 consonants. Segmentation suggests 1 word: stanford. Expect eight characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://exhibits.stanford.edu/saytheirnames/feature/breonna-taylor

Page Load Overview

3.52s
Total Load Time
37
HTTP Requests
11
Domains
514 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:4,355 chars
Detector Agreement:80%

Website Classification

Primary Category

adult content74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
74%
education
45%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37171.67.37.94Palo Alto, California, United States
AS32Stanford University
371--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T113E07DD654584365CBEB96886886FBE6FF47567432805A322CF0159E50C471FC6830DF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxUO2GAv3X96HwzRx3G6QGICTVqvH+odvdlWug6LadbwQFUf7uknAhJcmGGO:kxgGAPkQzRxNQGTVOH1vdXTff/AhJcmc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:d6630126428bb07a6103aa2f6da4d814

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:07ffffffffffffff
Perceptual Hash:93131313131b3f3f
Difference Hash:d800000000000000
Wavelet Hash:07ffffff00000000
Color Hash:#1f7293

Other Hashes

Crop Resistant:d800000000000000

Scan History

Scan history not available

Unable to load historical scan data