Security Scan Report: outschool.com

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Submitted: Completed: publiccompleted
This website contacted 57 IPs in 3 countries across 34 domains to perform 208 HTTP transactions. The main domain is outschool.com and was registered 20 years ago.

Submitted URL: https://outschool.com/teach?srsltid=AYCX9vLBvB79ZcGM2YGxOT1taULYIzX4jNGGuSry4cPeNKXnVeliSDLQ

The Cisco Umbrella rank of the primary domain is #145,471 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Outschool teacher recruitment page on its official established domain, with no phishing forms, brand impersonation, malware, or threat-intelligence matches.

Safety Factors (5)
Established domain with 20-year registration history
Self-branding consistent with domain ownership
No credential-harvesting or payment form fields
No Indicators of Compromise or malware detections
Legitimate education-platform content and navigation
Domain age information unavailable

Details

Page Title

Teach online: your passion, your curriculum, your schedule at Outschool | Outschool

Scan Type

public

Domain Name Analysis

The domain 'outschool.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'outschool' stretches across 9 characters split between four vowels and 5 consonants. Segmentation suggests 2 words: out, school. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

OUTSCHOOL Educator Library Help Log In Share your knowledge and teach on your own terms Sign up to teach Or Apply to Teach as an Organization. Why teach with Outschool? ef <p Teach motivated Mak...

Page Load Overview

9.39s
Total Load Time
4.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:5,113 chars
Detector Agreement:95%

All Detected Languages

🇺🇸en(99%)🇫🇮fi(1%)

Website Classification

Primary Category

education learning48% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
48%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
153.174.47.131Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
9104.18.12.204Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
513.33.187.60Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
5142.251.155.119Google · CDNUnited States
AS15169Google LLC
3151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
3143.204.181.123Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
334.111.148.117Google · CDNKansas City, Missouri, United States
AS396982Google LLC
313.33.187.15Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
3104.18.13.204Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3151.101.194.217Fastly · CDNUnited States
AS54113Fastly, Inc.
20857--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1834A6B51C1A036812355E67122F21EE453C10FD917EDB1F9DD5BA3AFCDA8A28033B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:LoubSBWxUWpPC59hs0kaTB4gdKXdNd8daYDheW58Mxt5tUsaD9voyvEyvZRv9Pvt:rCWxU6aXSLebCLffdTj9zFIt4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87771:kCqHOQKVSiRhBaOYYIdBMgIUEP4WEZIEDpgeGBCTSt6AXVhGBh0EwccBaEpCEBUEHgiwDggKnCBRDmIUAxVCghpAMEEKgnYE

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:bf42ffe7ffffff00
Perceptual Hash:b38f0bad0f830e8b
Difference Hash:5b8e694c0a36080b
Wavelet Hash:bd0000e7e7efef00
Color Hash:07000000059

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data