Security Scan Report: internationalstudies.richmond.edu

Redirected to:
https://consent.richmond.edu/?url=http%3A%2F%2Finternationalstudies.ri...
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Submitted: Jun 24, 2026, 2:56:41 PMCompleted: Jun 24, 2026, 2:57:51 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is consent.richmond.edu and was registered NaN years ago.

Submitted URL: https://internationalstudies.richmond.edu

Effective URL: https://consent.richmond.edu/?url=http%3A%2F%2Finternationalstudies.richmond.edu%2FRedirected

The Cisco Umbrella rank of the primary domain is #81,931 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate university privacy policy page with no malicious signals.

Safety Factors
Established domain age
No malicious indicators
Self‑branding matches domain
No external malicious links
Domain age information unavailable

Details

Page Title

Privacy Policy - Consent - University of Richmond

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'internationalstudies.richmond.edu' on the sponsored educational top-level domain (.edu), featuring subdomain 'internationalstudies'. Its registrable label 'richmond' stretches across 8 characters holding two vowels versus 6 consonants. It segments into one word: richmond. Median word length comes out to eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://internationalstudies.richmond.edu

Page Load Overview

2.76s
Total Load Time
10
HTTP Requests
5
Domains
572 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:449 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4141.166.35.106Richmond, Virginia, United States
AS20105University of Richmond
323.45.108.190Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
318.64.16.123United States
AS16509Amazon.com, Inc.
103--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17331737384F48691134084427F51E238EF89611FC78D8C42B84D16BA8FEDA6DC79B39D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:n8qxYUOOpY616rnLZPL1NDasV4NMjBCEKZISopxGKICYDPTY2P9Ctcr6zGdD:n8qRpHErnLZ5RaDNM4Ek9AmDBGm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAAAAEFAAQAQAABCAEAggAAAAAAAwAEAAIAAGAAAAAAQAAAAAAEJAAAAAAAQAAAAABBgAKAAAAAAAgACgAIAAAEAhACAAAA

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:ff1e3e3e3c3c0000
Perceptual Hash:979578cac2e087f2
Difference Hash:96f678f0e9c98a28
Wavelet Hash:ff1e3f3e3c3c4000
Color Hash:#6f931f

Scan History

Scan history not available

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