Security Scan Report: shibb-idp.georgetown.edu

Submitted: May 8, 2026, 1:35:28 AMCompleted: May 8, 2026, 1:37:15 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is shibb-idp.georgetown.edu and was registered NaN years ago.

Submitted URL: https://shibb-idp.georgetown.edu

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

HTTP Status 404 – Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(54%)

Domain Information

You're looking at domain 'shibb-idp.georgetown.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'shibb-idp'. Its registrable label 'georgetown' stretches across 10 characters holding 4 vowels versus 6 consonants. Splitting it apart reveals one word: georgetown. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shibb-idp.georgetown.edu

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
1 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:235 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software54% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
54%
education
45%
documentation technical
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.144.218.243Kansas City, Missouri, United States
AS396982Google LLC
21--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A01FE2DC2071016FCFA0C6734A03EA83C9C898356B30764F89095B8D6865B99B2138D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:hRuxVDEeR/gH/sI0llokRt/Jq5e/mvRDEete7Xei4Obz8j:hRuxZR/gkrlllRt/qee9WehAzO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:679:AAEAAAgAAAACAAAAEAAAAAAAgAAAAAAAAAAAgAAAAAAMAAAAAAAAAAAAAAAAAACACAAAAAQAgAACAAIAAAQABAAAIAAAAAAA

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:0000ffffffffffff
Perceptual Hash:f878787878787870
Difference Hash:3121000000000000
Wavelet Hash:0000fffff0f0f0f0
Color Hash:#ae40bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data