Security Scan Report: www.cccneb.edu

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Submitted: Dec 6, 2025, 1:42:14 PMCompleted: Dec 6, 2025, 1:46:22 PMpubliccompleted
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Summary

This website contacted 92 IPs in 6 countries across 24 domains to perform 146 HTTP transactions. The main domain is cccneb.edu and was registered NaN years ago.

Submitted URL: https://www.cccneb.edu/

The Cisco Umbrella rank of the primary domain is #527,110 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration (1992)
Standard educational website content
No suspicious forms or redirects
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.

Page Title

Central Community College

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(90%)

Domain Information

The domain 'www.cccneb.edu' uses the sponsored educational top-level domain (.edu); it also runs on subdomain 'www'. Its registrable label 'cccneb' stretches across 6 characters split between one vowel and 5 consonants. Splitting it apart reveals 3 words: ccc, ne, b. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.cccneb.edu/

Page Load Overview

14.39s
Total Load Time
146
HTTP Requests
24
Domains
153.1 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:7,480 chars
Detector Agreement:100%

Website Classification

Primary Category

education90% confidence
Type: spa
Method: structural

All Detected Categories

education
90%
corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
82104.20.21.102United States
AS13335CLOUDFLARENET
153.71.238.101Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5172.217.18.3United States
AS15169GOOGLE
4104.19.147.8United States
AS13335CLOUDFLARENET
4142.251.140.168United States
AS15169GOOGLE
4142.250.186.100United States
AS15169GOOGLE
3142.250.74.202United States
AS15169GOOGLE
3142.250.186.163United States
AS15169GOOGLE
2216.239.32.36United States
AS15169GOOGLE
14692--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ACA3C61144F01437416392C8BA625B6B7DC3A207CA0F5E4473EC87DA7FDAE918D5B2AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UQiPeS3dYB+6/KvICc3zhK1P3t7Wms/azx/n7tSQ3:ceStCFK1l7WmR5n74Q3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:99169:RIuQhQGCRTyIGHsTRFkDLAEQkIFEBlBhuEDIEWCqMAZBUBAIVC5BIwk0TQyCIBEyBCAgSCBIOLgWAQgCJANpATH2soiSlljC

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:7e0001039fffffff
Perceptual Hash:aa12d6d694a4b6ae
Difference Hash:ccdd7b73732d2f81
Wavelet Hash:660001010bbfffff
Color Hash:#1f9344

Scan History

Scan history not available

Unable to load historical scan data