Security Scan Report: mikegm19.github.io

Redirected to:
https://mikegm19.github.io/Microsoft-Login-Page/
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Submitted: Aug 25, 2026, 1:45:47 PMCompleted: Aug 25, 2026, 1:49:12 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is mikegm19.github.io and was registered 13 years ago.

Submitted URL: http://mikegm19.github.io/Microsoft-Login-Page/

Effective URL:

https://mikegm19.github.io/Microsoft-Login-Page/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Page impersonates Microsoft login, harvests credentials, flagged by Safe Browsing; treat as confirmed phishing scam.

Risk Factors
Brand impersonation of Microsoft
Credential harvesting form on unranked subdomain
Unknown subdomain age (potentially brand new)
Google Safe Browsing social engineering detection
Free hosting platform (github.io) used for phishing
Domain age information unavailable

Details

Page Title

Sign in to your Microsoft account

Scan Type

public

Domain Name Analysis

The domain name 'mikegm19.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'mikegm19'. The core label 'github' covers 6 characters holding 2 vowels versus 4 consonants. Word splitting yields 3 words: g, it, hub. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://mikegm19.github.io/Microsoft-Login-Page/

Page Load Overview

3.27s
Total Load Time
8 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:335 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
67%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9185.199.110.153United States
AS54113Fastly, Inc.
91--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A71406150F814730183D0C636A62F4A7EE08917C61E2808B0FC1ED86FEBE82CC5747D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRJOCR5zJ/O6yjHH5+LpAUFdCrzilM/pFTmKw2w6rdNElbIjctDm9gTmKow6F4k7:TtZtOdteSzicWB2aRQSVikAXJkU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3647:AlAVGIAAAIEAqCACAAAABoIEBASBCAEYDgAgAAEAAIAAuQAAAEAIsBCsE0BEhQEgwAIIAgggohSAIDAAAQACQUADBAAAAAwE

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:0000383830380000
Perceptual Hash:cecc3133ce8ccc63
Difference Hash:0008646460600800
Wavelet Hash:0c0c3c3c3f3f0f0c
Color Hash:#3a7877

Other Hashes

Crop Resistant:0008646460600800

Scan History

Scan history not available

Unable to load historical scan data