Security Scan Report: www.cctech.edu

Submitted: Dec 6, 2025, 2:26:34 PMCompleted: Dec 6, 2025, 2:28:16 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cctech.edu and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain with long registration history
No credential‑harvesting or payment collection elements
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Website Access Blocked

This website blocked our scanner, likely using AWS WAF, Cloudflare, or similar bot protection. The page may show differently for regular users.

Page Title

ERROR: The request could not be satisfied

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

education

(90%)

Domain Information

You're looking at domain 'www.cctech.edu' on the sponsored educational top-level domain (.edu) and includes subdomain 'www'. The core label 'cctech' covers 6 characters containing one vowel alongside 5 consonants. It segments into two words: cc, tech. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.10s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:553 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
23.171.214.25United States
AS16509AMAZON-02
23.171.214.48United States
AS16509AMAZON-02
02600:9000:28c5:8200:1b:7241:6980:93a1United States
AS16509AMAZON-02
03.171.214.108United States
AS16509AMAZON-02
02600:9000:28c5:1a00:1b:7241:6980:93a1United States
AS16509AMAZON-02
02600:9000:28c5:e200:1b:7241:6980:93a1United States
AS16509AMAZON-02
02600:9000:28c5:1800:1b:7241:6980:93a1United States
AS16509AMAZON-02
02600:9000:28c5:dc00:1b:7241:6980:93a1United States
AS16509AMAZON-02
02600:9000:28c5:3800:1b:7241:6980:93a1United States
AS16509AMAZON-02
02600:9000:28c5:4c00:1b:7241:6980:93a1United States
AS16509AMAZON-02
212--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AB01817B98CC342762523264DF8ABF28E26A15BEE1354020B05980EF31DE354CBE6680

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kHksq+Me57SaQSorcUezjIykgxQ4rlO4S4VSK388:Cq+t5qI7xQ4i4X388

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:821:AAAAAAGgEIAAAAAAAAAAgAAAAAQAAAgAIAAAAAAAAAAAQAAAAAAgAAAEYAAAAAAAAABgAAAAAAAAAAACQCEAAAAAAAAAAEAA

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:0700ffffffffffff
Perceptual Hash:87070303c1edcddf
Difference Hash:ccec000000000000
Wavelet Hash:0000fffff0f0f0f0
Color Hash:#64d22d

Other Hashes

Crop Resistant:ccec000000000000

Scan History

Scan history not available

Unable to load historical scan data