Security Scan Report: goodwillofsfl-my.sharepoint.com

Redirected to:
https://login.microsoftonline.com/a78cc008-7761-4d7b-82bf-f59e455bbcbb...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 11 IPs in 4 countries across 7 domains to perform 18 HTTP transactions. The main domain is sharepoint.com and was registered 28 years ago.

Submitted URL: https://goodwillofsfl-my.sharepoint.com

Effective URL:
https://login.microsoftonline.com/a78cc008-7761-4d7b-82bf-f59e455bbcbb...
Redirected

The Cisco Umbrella rank of the primary domain is #66 of the top 1 million websitesTop 100 Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate Microsoft sign-in page for Goodwill of South Florida's SharePoint tenant; standard SSO redirect with no phishing indicators.

Safety Factors (3)
Login form posts to Microsoft's own authentication endpoint
No credential exfiltration detected; cross-origin JS contacts only Microsoft analytics domain
No malicious scripts, forms, or network indicators
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

You're looking at domain 'goodwillofsfl-my.sharepoint.com' on the commercial generic top-level domain (.com), featuring subdomain 'goodwillofsfl-my'. The second-level label 'sharepoint' is 10 characters long split between 4 vowels and 6 consonants. Splitting it apart reveals 2 words: share, point. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://goodwillofsfl-my.sharepoint.com

Page Load Overview

1.86s
Total Load Time
750 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:292 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
820.190.159.73Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
113.107.138.10Azure · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
140.126.31.1Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
123.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
120.184.175.5Azure · CLOUDSan Jose, California, United States
AS8075Microsoft Corporation
113.107.136.10Azure · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
123.4.84.135Akamai · CDNLondon, England, United Kingdom
AS20940Akamai International B.V.
120.190.159.4Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
140.126.31.71Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
1811--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111A36DE6BEA31E3BC28744B5B5B92E02AF3A6D03984CDC64F14CC9882FE764D4127553

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:F0i62ygrJD8GLG2SggrJi7rI0pewzUN4NohIZ9Tjuokmap5vPoMLuf90qO2iqawj:WY/V8/d87rnewzU6Nta/Ajaw0C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:102209:HOgAQQrBqNZDhAABYIEAaGASGIXgIMiltuwAEhgtEiE5B4aShYhQQpMSOSq4BYAxlMmCMQahgBhQBIIUgkEhBglCGtACEVDg

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:87fc18181818ffe1
Perceptual Hash:dd09a2f25c2d49d3
Difference Hash:0df0b2b2b0b0338d
Wavelet Hash:fcfc181818183d3d
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data