Security Scan Report: cshgreenwich.myschoolapp.com

Redirected to:
https://cshgreenwich.myschoolapp.com/app?svcid=edu#login
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Submitted: Jul 10, 2026, 5:17:15 PMCompleted: Jul 10, 2026, 5:18:33 PMpubliccompleted
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Summary

This website contacted 21 IPs in 1 country across 9 domains to perform 48 HTTP transactions. The main domain is cshgreenwich.myschoolapp.com and was registered NaN years ago.

Submitted URL: https://cshgreenwich.myschoolapp.com

Effective URL: https://cshgreenwich.myschoolapp.com/app?svcid=edu#loginRedirected

The Cisco Umbrella rank of the primary domain is #17,494 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

Legitimate school portal with low risk; no malicious indicators detected.

Safety Factors
Established domain reputation (Cisco Umbrella rank 17494, top 100K)
No malicious JavaScript or network activity detected
All external resources belong to the same service provider (myschoolapp.com)
No obfuscation or suspicious code patterns
Domain age information unavailable

Details

Page Title

Sacred Heart Greenwich

Scan Type

public

Language

🇺🇸

English

(70% confidence)

Category

healthcare medical

(38%)

Domain Information

You're looking at domain 'cshgreenwich.myschoolapp.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'cshgreenwich'. The registrable portion 'myschoolapp' spans 11 characters split between 3 vowels and 8 consonants. It segments into two words: myschool, app. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cshgreenwich.myschoolapp.com

Page Load Overview

9.22s
Total Load Time
48
HTTP Requests
9
Domains
83 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:70%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:70%
Script Type:Latin
Text Length:75 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical38% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
38%
news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8150.171.110.114Azure · CLOUDUnited States
AS8075Microsoft Corporation
252.222.236.72Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
252.222.214.65Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.244.18.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2100.60.109.86Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
252.222.236.59Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.245.60.49Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.244.18.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2100.52.153.42Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
218.244.18.12Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4821--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T128B2D236580419B83027C8FE9233A7EB1A3DC6B387A42FB870E9747CF75DAE01558466

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+GUlM0keAmMusBRkw8Mu7lnKMjeIgOoNhrbXVjNn4ay:+/Hjg3NhrbXVjNnHy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23539:JCUAsJggCAgjiSARAQCSCLbH0BACAuQ3UgIohMMCAaBQ2AZFLWppcWAFjIARgggvAIIGiRhGIUkKAOBhQjAQZhwAJwMEkhMM

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:e7c3dfffffffffff
Perceptual Hash:b3332666cc999999
Difference Hash:0c4d121008000000
Wavelet Hash:d0c0fcfc00000000
Color Hash:#783a4a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data