Security Scan Report: www.communitiesinschools.org

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Submitted: May 24, 2026, 3:40:47 AMCompleted: May 24, 2026, 3:43:30 AMpubliccompleted
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Summary

This website contacted 18 IPs in 3 countries across 19 domains to perform 61 HTTP transactions. The main domain is communitiesinschools.org and was registered NaN years ago.

Submitted URL: https://www.communitiesinschools.org/leadership/profile/shaquille-oneal

AI Security Verdict

Moderate Risk

Confidence: 78%

3
Risk Score

Site appears legitimate and well‑established, but the heavily obfuscated JavaScript and unranked reputation suggest caution.

Risk Factors
Unranked domain in Cisco Umbrella reputation list
Heavy JavaScript obfuscation (critical score) with eval() and Function() constructors
Multiple redirects (8) may indicate redirect chaining
Safety Factors
Domain age > 5 years (7109 days) – well‑established
No forms collecting credentials or payments
No malicious Indicators of Compromise or YARA matches
Self‑branding matches the domain, no brand impersonation
Domain age information unavailable

Details

Page Title

Shaquille O'Neal : - Communities In Schools

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(45%)

Domain Information

The domain name 'www.communitiesinschools.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The second-level label 'communitiesinschools' is 20 characters long with 8 vowels and 12 consonants. Segmentation suggests three words: communities, in, schools. The median word length lands at seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.communitiesinschools.org/leadership/profile/shaquille-oneal

Page Load Overview

51.63s
Total Load Time
65
HTTP Requests
19
Domains
2.0 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:4,237 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media45% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
45%
adult content
36%
forum community discussion
30%
documentation technical
28%
education learning
26%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14192.178.183.94United States
AS15169Google LLC
3142.251.110.102United States
AS15169Google LLC
3104.20.24.52United States
AS13335Cloudflare, Inc.
3142.250.154.94United States
AS15169Google LLC
3151.101.193.91United States
AS54113Fastly, Inc.
3185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3142.251.13.95United States
AS15169Google LLC
3100.51.231.123Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
3104.17.208.5United States
AS13335Cloudflare, Inc.
3212.102.56.179Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6518--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C1734C7387B8A32D07434664EE332159784B819FF58494D4B5AECA609F87EF28427DEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:2cHCEvS06L0UxBaLq3JyzFNDcZGELq7gwgvwwwvK5Nw8vllHZSjqZwu:BuBaLq3CuO7gwgvwwwvSNw8vDZSjqwu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:76229:jxEipEImASImoC84lOECYOaYYQgChAiMoAAAORIiFAHKNcgFDLgIKABQAQ09IiTBNQFMHDWQEgsjRECAZIPQUcFOcGjBlcDM

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:00ffdfdfcbcfffe7
Perceptual Hash:b80f473b380e2b3b
Difference Hash:290896b6961e260c
Wavelet Hash:00e7d3c3c3c3c3e6
Color Hash:#2dd2c5

Scan History

Scan history not available

Unable to load historical scan data