Security Scan Report: dsl.richmond.edu

Submitted: May 22, 2026, 11:33:21 PMCompleted: May 22, 2026, 11:36:00 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 387 HTTP transactions. The main domain is dsl.richmond.edu and was registered NaN years ago.

Submitted URL: https://dsl.richmond.edu/panorama/redlining/map/NY/StatenIsland/context

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #81,931.

Safety Factors
Well-established domain (ranked #81,931)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Mapping Inequality

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(82%)

Domain Information

Domain 'dsl.richmond.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'dsl'. Count 8 characters in 'richmond' containing two vowels alongside 6 consonants. Breaking it apart gives 1 word: richmond. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dsl.richmond.edu/panorama/redlining/map/NY/StatenIsland/context

Page Load Overview

30.22s
Total Load Time
1
HTTP Requests
1
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
Text Length:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
56%
adult content
49%
education
45%
government public service
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
016.15.183.83Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
099.81.93.47Dublin, Leinster, Ireland
AS16509Amazon.com, Inc.
0141.166.39.124Richmond, Virginia, United States
AS20105University of Richmond
099.84.152.9United States
AS16509Amazon.com, Inc.
15--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14A34A99923091DBDB81603FCFBF8F3B6206E01C7DA587590A576017A6311E9EAC3B9D1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ewbydGkg3W1WF0usKqZ9yvf5CIwhl5ajNz:BvBwhl5il

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:244476:gLB7nZImoGhAAgICs3ggG3IcESm4AWiEQiaegkqVSUUZSATkERcQYUgGpAQKUQigIsokKBENyIVB0zshSUFxg0BEBKL5RDbE

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:3f3f3b3f3f3f3f3c
Perceptual Hash:8f2552a752cb6d4c
Difference Hash:686c7272766e7975
Wavelet Hash:3e1e381a3b373c1c
Color Hash:#867a2d

Scan History

Scan history not available

Unable to load historical scan data