Security Scan Report: www.ed-data.org

Submitted: Feb 25, 2026, 6:25:30 PMCompleted: Feb 25, 2026, 6:31:41 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is ed-data.org and was registered NaN years ago.

Submitted URL: https://www.ed-data.org/district/los-angeles/los-angeles-unified

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>20 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
No JavaScript malware or obfuscation
No network IDS alerts
Domain age information unavailable

Details

Page Title

www.ed-data.org

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.ed-data.org' is registered; it also runs on subdomain 'www'. Count 7 characters in 'ed-data' with 3 vowels and three consonants, along with one hyphen. Breaking it apart gives two words: ed, data. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ed-data.org/district/los-angeles/los-angeles-unified

Page Load Overview

N/A
Total Load Time
4
HTTP Requests
0
Domains
N/A
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:741 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
63%
adult content
54%
government public service
52%
education learning
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4198.189.175.85United States
AS2152CENIC
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A4048E77329A063986558498E05B830D9F20B543F506C8BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:0fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszu2bMy8Oldf:nhoC9JSqzzbs6o3Sj3gcrsi2eA9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187223:Ck9FBFLwBEDYYsDG9kbBAAkQXCLgegkwcwE5iVSIHAwUGQCWgRAShAGRKhQlATQmwhCAyCCZFAGOqgywgACk4JWALO2FgwFQ

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4003c3c3c
Color Hash:#78593a

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data