Security Scan Report: www.ccny.cuny.edu

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Site favicon
Submitted: Completed: publiccompleted
This website contacted 11 IPs in 1 country across 2 domains to perform 10 HTTP transactions. The main domain is cuny.edu and was registered 39 years ago.

Submitted URL: https://www.ccny.cuny.edu/education/hedi-levine-office-clinical-practice-interim-director?srsltid=AU7gw4UQ_g4-oH_sDprp8GVlaT7iTbu4asNSQrLmABaayY653PSj-N9Q

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

Official City College of New York (CUNY) faculty bio page on its own long-established domain. No impersonation, credential or payment forms, or threat-intel hits. The scanner-vs-client block page is ordinary bot protection.

Safety Factors (5)
Well-established institutional domain (cuny.edu) registered in 1987
High Cisco Umbrella ranking (55,983) consistent with a major public university
Content is ordinary academic biography/newsletter content matching the site's own brand
No credential, password or payment forms; no cross-origin form submissions
No Indicators of Compromise, YARA or IDS phishing/malware alerts
Domain age information unavailable

Details

Page Title

Hedi Levine, Office of Clinical Practice Interim Director | The City College of New Yorkother network

Scan Type

public

Domain Name Analysis

Within the sponsored educational top-level domain (.edu), 'www.ccny.cuny.edu' is registered with subdomain 'www.ccny'. The registrable portion 'cuny' spans 4 characters with one vowel and 3 consonants. Breaking it apart gives 1 word: cuny. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ccny.cuny.edu/education/hedi-levine-office-clinical-practice-interim-director?srsltid=AU7gw4UQ_g4-oH_sDprp8GVlaT7iTbu4asNSQrLmABaayY653PSj-N9Q

Page Load Overview

2.11s
Total Load Time
1023 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:10,905 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning80% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
80%
government public service
49%
education
45%

Detected Features

Search
OG: text

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10185.178.196.1Cloudflare · CDNUnited States
AS13335Cloudflare, Inc.
0142.251.14.95Google · CDNUnited States
AS15169Google LLC
0142.251.14.113Google · CDNUnited States
AS15169Google LLC
035.186.235.23Google · CDNKansas City, Missouri, United States
AS396982Google LLC
0142.251.154.119Google · CDNUnited States
AS15169Google LLC
0142.250.154.113Google · CDNUnited States
AS15169Google LLC
0192.178.183.94Google · CDNUnited States
AS15169Google LLC
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
0142.251.110.102Google · CDNUnited States
AS15169Google LLC
0104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1011--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0F30B5266EC043741C3E2E6A6B1FB58EAE1A513F1446C11BCBC47DC9FC3DA2562372A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:d9bKz6tXUx8hWZnYH42GD0m/HYE1ko1/7x:dDGlAQ9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:168906:BAwBAAU0AyKiQJkwTsYVEpRZVzYAOUFBgLUIZRghHYED2gyAPN54AHCHqcAAQBdACZFgADDBAAgwAgASaQJAUaAyYZiMKWQg

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:00ffff8fffff0700
Perceptual Hash:bd596643622f6147
Difference Hash:ca300637949867a7
Wavelet Hash:009fef83ffff0000
Color Hash:#99c587

Scan History

Scan history not available

Unable to load historical scan data