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Security Scan Report: sps.cuny.edu

Submitted: Apr 3, 2026, 7:17:29 AMCompleted: Apr 3, 2026, 7:19:12 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 14 domains to perform 90 HTTP transactions. The main domain is sps.cuny.edu and was registered NaN years ago.

Submitted URL: https://sps.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: 96%

0
Risk Score

No security concerns detected; the site appears legitimate and safe.

Safety Factors
Established educational domain (CUNY SPS)
Standard hosting with no IPFS or cloud‑storage red flags
Only informational/forms without credential collection
External resources are reputable (Google Fonts, HubSpot, Facebook, YouTube)
No noindex meta tags, no phishing language, no brand impersonation
Domain age information unavailable

Details

Page Title

Homepage | CUNY School of Professional Studies | CUNY SPS

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(56%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'sps.cuny.edu' is registered and includes subdomain 'sps'. The core label 'cuny' covers 4 characters split between one vowel and three consonants. Tokenizing the label suggests one word: cuny. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sps.cuny.edu

Page Load Overview

4.42s
Total Load Time
135
HTTP Requests
28
Domains
5.2 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:5,104 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning56% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
56%
government public service
49%
education
45%
healthcare medical
29%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1813.226.244.91United States
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9104.17.128.172United States
AS54113
9104.18.40.240United States
AS32934
9142.251.127.97United States
AS13335
923.185.0.3United States
AS54113Fastly, Inc.
9104.16.138.209United States
AS13335Cloudflare, Inc.
9142.250.154.94United StatesUnknown
9157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
9142.251.14.95United StatesUnknown
952.222.236.87United States
AS16509Amazon.com, Inc.
13514--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14E04C592E9B192393517C7D826EFC925F722A0C2FC005F64B6AD01985FD17FC252E68B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:hQM1MAMGMuMjMrMvQMIOUB8y5allmbVyTbVxTbVa67bF8pX8eeCpdUPSarAqnOvc:6Uiy5algbVybVtbVpaundd3JXUw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:178895:AEVABoTKBRpUTAhCMViSDABmCdAIIYJhQapCDGTqCRkoUQEhlGRwcGSIQgCEwszjKyAsCBQABMCIhSyIjWgCoIgQJCa4JRkA

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:ffff080808181811
Perceptual Hash:99f7acd5635a0823
Difference Hash:28339999dbbbb9b3
Wavelet Hash:ffff0d08091d1d11
Color Hash:#799dd2

Other Hashes

Crop Resistant:28339999dbbbb9b3,fce2c7c0e9683133,ddd8b392858f3939,c9b939acb995a6b6,61e5e7e8e8e1e519,fb99d9db9bb0b9b3

Scan History

Scan history not available

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