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Security Scan Report: jcw.georgetown.edu

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Submitted: Dec 28, 2025, 3:13:27 PMCompleted: Dec 28, 2025, 3:14:12 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 15 domains to perform 81 HTTP transactions. The main domain is jcw.georgetown.edu and was registered NaN years ago.

Submitted URL: https://jcw.georgetown.edu/speaker/nancy-pelosi/

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

Legitimate site with no security concerns.

Safety Factors
Established university subdomain (georgetown.edu)
High Cisco Umbrella ranking
No malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Nancy Pelosi - John Carroll Weekend

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(65%)

Domain Information

Domain 'jcw.georgetown.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'jcw'. Its registrable label 'georgetown' stretches across 10 characters split between four vowels and 6 consonants. It segments into one word: georgetown. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jcw.georgetown.edu/speaker/nancy-pelosi/

Page Load Overview

9.16s
Total Load Time
81
HTTP Requests
0
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-US
Text Length:1,803 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
65%
education
45%
healthcare medical
26%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4023.185.0.1United States
AS54113FASTLY
10184.24.77.144UnknownUnknown
6216.239.32.36UnknownUnknown
5142.251.141.68UnknownUnknown
5104.20.20.192United States
AS13335CLOUDFLARENET
552.223.40.198UnknownUnknown
5142.250.185.174UnknownUnknown
435.71.131.137UnknownUnknown
418.172.114.101United States
AS16509AMAZON-02
4142.250.186.104United States
AS15169GOOGLE
016--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E933C6779597C73966241D4E077B206F76CD12BEA89C8A4B6FC41E86BC4CF60063A2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:n4rV4rN83tSE0iWFak71wGSSh1vRkdqaiapdigbG4muSLUm9GpXz/h1W8zhfY+O5:KtSE0iWl71wSebVusmrbGpXz/h1W8zh8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93227:wyggZAwkhEhQUspzZQ+ihGhMAuCHgiqDEIiIbEKIIqAcoQxU0AgKAUFGEIsCDtrBpCoACWTGlIZQEDgaCAQBAIRUp8YTRCiB

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:003f3f3f3fffffff
Perceptual Hash:8f0f70707c1e7079
Difference Hash:656b6b6c6b4b4b4b
Wavelet Hash:0021233f2fffe1a3
Color Hash:#c5878f

Other Hashes

Crop Resistant:656b6b6c6b4b4b4b,0141a19181218161,4e933323b3935030

Scan History

Scan history not available

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