Security Scan Report: app.maialearning.com

Redirected to: https://app.maialearning.com/v3/user-login

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Submitted: Jan 4, 2026, 5:49:39 AMCompleted: Jan 4, 2026, 5:51:07 AMpubliccompleted
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Summary

This website contacted 13 IPs in 2 countries across 10 domains to perform 379 HTTP transactions. The main domain is app.maialearning.com and was registered NaN years ago.

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

Effective URL: https://app.maialearning.com/v3/user-loginRedirected

The Cisco Umbrella rank of the primary domain is #161,529 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing page impersonating Microsoft login.

Risk Factors
Brand impersonation of Microsoft on app.maialearning.com
Password field without accompanying username field
Low domain ranking for a site claiming a major brand
Domain age information unavailable

Details

Page Title

Log In - MaiaLearning

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(73%)

Domain Information

The domain name 'app.maialearning.com' uses the commercial generic top-level domain (.com) with subdomain 'app'. The second-level label 'maialearning' is 12 characters long containing six vowels alongside 6 consonants. Word splitting yields 2 words: maia, learning. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

13.80s
Total Load Time
301
HTTP Requests
7
Domains
965 KB
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:882 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
73%
education learning
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25104.19.229.21United States
2334.230.238.136United States
2318.245.31.100United States
AS16509AMAZON-02
2323.213.161.202Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
23216.239.34.36United States
AS15169GOOGLE
23142.250.110.84United StatesUnknown
2318.211.186.236United StatesUnknown
23104.17.24.14United StatesUnknown
23195.181.170.19United StatesUnknown
23104.17.25.14United StatesUnknown
30113--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10FB3D7719684311E6663C42AD8D1BF0E7038CCE2D94F4BD5B60C986C4EC67FA16E267E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nMC9Zg9isK9wyN6fs3NfwVA14HxcGSKL9C1Q:Kfs3CtSw9N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:118150:QYBApBY0oBDGSAGyFGSCACUCMQmjEQRAoAIkDEx4bFLqgJAWAgWGSk0a1cGo44giHYAqgJAC4AcA8UKuSANgBJECAMnQDQFY

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:003c3c3c3d3c7cfc
Perceptual Hash:cb0b743761613675
Difference Hash:696969e9e969e080
Wavelet Hash:003c3c3c3c3c7cfe
Color Hash:#87c5ae

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data