Security Scan Report: guides.library.georgetown.edu

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Submitted: Jun 23, 2026, 10:10:04 AMCompleted: Jun 23, 2026, 10:11:36 AMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is guides.library.georgetown.edu and was registered NaN years ago.

Submitted URL: https://guides.library.georgetown.edu/ai/news

The Cisco Umbrella rank of the primary domain is #81,521 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate university guide with no malicious indicators.

Safety Factors
Established university domain (library.georgetown.edu)
Top 100 K in Cisco Umbrella ranking
Only informational content with no data‑collection forms
No external malicious links or IoC matches
Domain age information unavailable

Details

Page Title

Latest News on AI - Artificial Intelligence (Generative) Resources - Guides at Georgetown University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(53%)

Domain Information

You're looking at domain 'guides.library.georgetown.edu' on the sponsored educational top-level domain (.edu); it also runs on subdomain 'guides.library'. The core label 'georgetown' covers 10 characters holding four vowels versus 6 consonants. Breaking it apart gives 1 word: georgetown. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://guides.library.georgetown.edu/ai/news

Page Load Overview

5.77s
Total Load Time
30
HTTP Requests
15
Domains
945 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:8,799 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software53% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
53%
education
45%
documentation technical
45%
education learning
41%
government public service
35%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
63.86.37.148Ashburn, Virginia, United States
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399.84.152.5United States
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318.173.206.5United States
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3151.101.65.155United States
AS54113Fastly, Inc.
352.216.220.129Ashburn, Virginia, United States
AS16509Amazon.com, Inc.
32.16.168.109Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3104.18.10.207United States
AS13335Cloudflare, Inc.
354.231.199.232Ashburn, Virginia, United States
AS16509Amazon.com, Inc.
309--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B693191246F12A2752B3D5D9796872DD2F538047E21ACE50BEFD83886FC6CE4A84374E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:GJOUAPRhZVHWavWfnYzMhvD1wO8Aabo5VWP7E+j3ykF5vmfbZIhVqaV8:GA0avW/YQL1wzAak5VWP7E+j3ykF5vmn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:92939:CIMSiTBgTQ2hLgSSSaFQoUYBPADQiCEg9ElYBNUUtwAwBoBiSAMG4UxkqIio2CCIFhgFMIsFBJEU4hpC0IIaUgwIJIJCgkqP

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:00ffffff9f9fdff7
Perceptual Hash:bc43633c632a3e63
Difference Hash:43003e372b3b2b2f
Wavelet Hash:00ffc79f8383c383
Color Hash:#3b783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data