Security Scan Report: www.hunter.cuny.edu

Submitted: Nov 20, 2025, 2:47:01 PMCompleted: Nov 20, 2025, 2:49:08 PMpubliccompleted
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Summary

This website contacted 73 IPs in 2 countries across 15 domains to perform 147 HTTP transactions. The main domain is hunter.cuny.edu.

Submitted URL: https://www.hunter.cuny.edu/

The Cisco Umbrella rank of the primary domain is #55,983 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official CUNY university domain
Cisco Umbrella ranking within top 100k
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

A Great Public College in New York City | Hunter College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain 'www.hunter.cuny.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'www.hunter'. Its registrable label 'cuny' stretches across 4 characters holding one vowel versus 3 consonants. It segments into 1 word: cuny. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.hunter.cuny.edu/

Page Load Overview

1.87s
Total Load Time
147
HTTP Requests
15
Domains
3.4 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
Text Length:16,306 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: spa
Method: ml+structural

All Detected Categories

education
45%
education learning
45%
government public service
41%
corporate
35%
healthcare medical
25%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9018.173.205.11United States
AS16509AMAZON-02
954.166.64.49Ashburn, Virginia, United States
AS14618AMAZON-AES
8212.102.56.179Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6151.101.193.229San Francisco, California, United States
AS54113FASTLY
5172.64.147.188United States
AS13335CLOUDFLARENET
3142.250.181.227United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
3142.250.186.131United States
AS15169GOOGLE
2142.250.186.74United States
AS15169GOOGLE
235.83.67.84Boardman, Oregon, United States
AS16509AMAZON-02
14773--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0A45F1170800417A9A60DFF2052BFA96536D7318A524872B132CE427EE6F5EB09FBF7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:73JvN3R9cq6ibuadN2n0A1gOnJCHPZK0jIzZ/:7Hh9r6ibuadN2nhgO1x

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:473079:JhFEMQgESqMEAhlBCIM5ADEBABAxMB+SyAtkdgIOCWgKEAIQMxiAwcBUZihFyAQIEAuAgWEJMEQCjCIEC/RGJYAyikgCMxhg

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:ff81f1feba90f0f0
Perceptual Hash:ce91629fc5d20d1b
Difference Hash:415b450232226565
Wavelet Hash:ff01b1f89a90f0f0
Color Hash:#d2798c

Scan History

Scan history not available

Unable to load historical scan data