Security Scan Report: mass.pbslearningmedia.org

Redirected to:
https://www.pbslearningmedia.org/resource/nvslos.sci.eng.tyson/neil-de...
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Submitted: May 22, 2026, 5:25:19 AMCompleted: May 22, 2026, 5:27:41 AMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 8 domains to perform 46 HTTP transactions. The main domain is pbslearningmedia.org and was registered NaN years ago.

Submitted URL: https://mass.pbslearningmedia.org/resource/nvslos.sci.eng.tyson/neil-degrasse-tyson/

Effective URL: https://www.pbslearningmedia.org/resource/nvslos.sci.eng.tyson/neil-degrasse-tyson/Redirected

The Cisco Umbrella rank of the primary domain is #82,964 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate PBS LearningMedia page with no phishing, malware, or scam indicators.

Safety Factors
Established domain with high Cisco Umbrella ranking (top 100K)
Brand name aligns with domain, no impersonation
Absence of login/payment forms
No malicious IoC, YARA, or IDS detections
Static content (educational video) with no suspicious behavior
Domain age information unavailable

Details

Page Title

The Secret Life of Scientists & Engineers | Neil deGrasse Tyson | The Secret Life Of Scientists & Engineers | Grades 6-8, 9-12 Science Teaching and Lesson Resources

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(45%)

Domain Information

Domain 'mass.pbslearningmedia.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'mass'. Its registrable label 'pbslearningmedia' stretches across 16 characters split between 6 vowels and ten consonants. Segmentation suggests 3 words: pbs, learning, media. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mass.pbslearningmedia.org/resource/nvslos.sci.eng.tyson/neil-degrasse-tyson/

Page Load Overview

50.51s
Total Load Time
89
HTTP Requests
16
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:11,252 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical45% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
45%
education learning
40%
news media journalism
38%
entertainment media
38%
corporate
35%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1234.160.81.0Kansas City, Missouri, United States
AS396982Google LLC
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AS16509Amazon.com, Inc.
1113.33.187.97New York, New York, United States
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1113.226.244.9United States
AS16509Amazon.com, Inc.
11142.251.14.97United States
AS15169Google LLC
1165.9.175.5United States
AS16509Amazon.com, Inc.
1113.226.244.50United States
AS16509Amazon.com, Inc.
898--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA933EB1578920AD52D7C95EA4E37D4E107CDCA1E10F8FC8B918A89D4FC47EB41E0BA9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:y8AEDtQdQPzhghYzabjSRRSPgMfsgQQNTxNlJCcAV+nKxYOjo78:y8Akzhgi0PgMfAGTdJCM8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:93016:EGaSDNARSzCKASS2ISDBFkELhb+XByVC8CXDEYCKGAE0CEEAECC4SSQsEMjRlKFwZDMJSBFCIAXcJBlgYRZgBKJO7kIAgkW4

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:fdffffffff000000
Perceptual Hash:dc8a4a4aca7a4afa
Difference Hash:21c6010009263620
Wavelet Hash:00ffffffff000000
Color Hash:#5381ac

Scan History

Scan history not available

Unable to load historical scan data