Security Scan Report: harpurpalate.binghamton.edu

Submitted: Jan 20, 2026, 10:00:47 PMCompleted: Jan 20, 2026, 10:02:02 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 61 HTTP transactions. The main domain is harpurpalate.binghamton.edu and was registered NaN years ago.

Submitted URL: https://harpurpalate.binghamton.edu/rachel-eliza-griffiths/

The Cisco Umbrella rank of the primary domain is #251,275 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

1
Risk Score

Legitimate university page with no security concerns.

Safety Factors
Well‑established domain (>38 years old)
University subdomain with reputable institution
No credential or payment collection
No malicious Indicators of Compromise
Low‑risk form (email‑only)
Domain age information unavailable

Details

Page Title

Rachel Eliza Griffiths – Harpur Palate

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

Domain 'harpurpalate.binghamton.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'harpurpalate'. The second-level label 'binghamton' is 10 characters long split between 3 vowels and 7 consonants. Segmentation suggests one word: binghamton. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://harpurpalate.binghamton.edu/rachel-eliza-griffiths/

Page Load Overview

7.77s
Total Load Time
43
HTTP Requests
4
Domains
3.0 MB
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:13,908 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: static
Method: structural

All Detected Categories

education
90%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.250.184.234United States
AS15169GOOGLE
10142.250.185.195United States
AS15169GOOGLE
1023.197.137.183Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1034.238.23.117Ashburn, Virginia, United States
AS14618AMAZON-AES
434--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CF4A591060796DFFDA35C9253DEEA25BE6D24BCF881C86C56F508C3AC4A429C1CBB4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:uMOQeMmY2V804wk0YYpTThJxj7t1537wSNEPMOBxTjfdyWytq:oT5tHwRMQjEq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:758493:YyoIAJwI12PA0woESBEAONAjkQAQrEfFCIAy4AOs6AGJoGVgKkIiAKI6ICiONBXn8JkDYAAZHONUAwA6Ua7EiiUECACiAHCg

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:00ffcfcfdfffffff
Perceptual Hash:b81847473c387f1b
Difference Hash:543cbeb6b6061e1e
Wavelet Hash:00dfc7c3c3c3c3c3
Color Hash:#c7d22d

Scan History

Scan history not available

Unable to load historical scan data