Security Scan Report: avalon.law.yale.edu

Submitted: Nov 4, 2025, 5:40:01 AMCompleted: Nov 4, 2025, 5:41:11 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is avalon.law.yale.edu and was registered NaN years ago.

Submitted URL: https://avalon.law.yale.edu/20th_century/kennedy.asp

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate academic page with no security concerns

Safety Factors
Established university subdomain (yale.edu)
Long domain age
No suspicious forms or redirects
No Indicators of Compromise
Domain age information unavailable

Details

Page Title

The Avalon Project : Inaugural Address of John F. Kennedy

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

education

(90%)

Domain Information

Domain 'avalon.law.yale.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'avalon.law'. The core label 'yale' covers 4 characters with two vowels and two consonants. Breaking it apart gives 1 word: yale. 'yale' most strongly signals Breton. Usage also turns up in German and English contexts.

Screenshot

Security scan screenshot of https://avalon.law.yale.edu/20th_century/kennedy.asp

Page Load Overview

20.87s
Total Load Time
6
HTTP Requests
1
Domains
16 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:8,400 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
652.177.206.73Boydton, Virginia, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
61--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19052B85713C0033F1553673A771C3DC5A366D1B48721ED90B88E993AAF84DA44A772E7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:lyLQM3DjlzAFDpiy1SaCC2gPQMdtJM6/EM1xIYPljd:lmQqHlz61df8obPljd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13940:BhY8UEAM0gKcDjygXJBEBBAQGgCcEEEAsIJYdgGNBeABBgIGAQagTktGzatwkEAwhFKAwlqW8hys+qDQKAUNMh9gQhwgCAAo

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:00ffffffffffffff
Perceptual Hash:af6b6a6a2a2a2b1a
Difference Hash:070e48d67d6f5d77
Wavelet Hash:00e7ef3f0f030f07
Color Hash:#bf4099

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data