Security Scan Report: app.schoolai.com

Redirected to: https://app.schoolai.com/welcome/sign-in

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Submitted: Dec 23, 2025, 7:56:50 PMCompleted: Dec 23, 2025, 7:58:00 PMpubliccompleted
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Summary

This website contacted 32 IPs in 2 countries across 25 domains to perform 170 HTTP transactions. The main domain is app.schoolai.com and was registered NaN years ago.

Submitted URL: https://app.schoolai.com

Effective URL: https://app.schoolai.com/welcome/sign-inRedirected

The Cisco Umbrella rank of the primary domain is #111,607 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no detected threats.

Safety Factors
Well‑established domain age
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Standard hosting environment
Domain age information unavailable

Details

Page Title

SchoolAI

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(75%)

Domain Information

Within the commercial generic top-level domain (.com), 'app.schoolai.com' is registered with subdomain 'app'. Its registrable label 'schoolai' stretches across 8 characters containing 4 vowels alongside four consonants. Breaking it apart gives 3 words: school, a, i. The median word length lands at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app.schoolai.com

Page Load Overview

16.87s
Total Load Time
170
HTTP Requests
25
Domains
2.1 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:608 chars
Detector Agreement:75%

Website Classification

Primary Category

education learning75% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
75%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1552.37.24.1Boardman, Oregon, United States
AS16509AMAZON-02
518.244.18.77United States
AS16509AMAZON-02
5104.16.80.73United States
AS13335CLOUDFLARENET
544.195.72.180Ashburn, Virginia, United States
AS14618AMAZON-AES
513.35.58.65United States
AS16509AMAZON-02
52.18.64.211Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
5142.250.185.68United States
AS15169GOOGLE
551.77.64.70Germany
AS16276OVH SAS
551.195.5.58Limburg an der Lahn, Hesse, Germany
AS16276OVH SAS
17032--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8633B997604D2349C3B8EC8957AAF394048E5739F71C868D38CC879A8C1FFA27D6D85

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:n4rbfebx/c64Jysq7vIBFwiNY/yAwkFdizmaaeu9Lc9LC:4feGW/yfaNa26A

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67138:THKIAeMAMALYDAPBMBoBynKUIBVYSBSLoFtAIYQQAEUBWkwiBDHChigIkBXwWKIBDExN4KArg4LgEA9GAUAEsBwmgBM0IrXl

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data