Security Scan Report: acog-my.sharepoint.com

Redirected to:
https://login.microsoftonline.com/01d03752-7513-4233-a3b0-cd07c47a17f3...
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Submitted: Completed: publiccompleted
This website contacted 15 IPs in 4 countries across 7 domains to perform 23 HTTP transactions. The main domain is sharepoint.com and was registered 28 years ago.

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

Effective URL:
https://login.microsoftonline.com/01d03752-7513-4233-a3b0-cd07c47a17f3...
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: 92%

0
Risk Score

Genuine Microsoft Entra ID sign-in redirect for the ACOG SharePoint tenant; form posts to login.microsoftonline.com with no threat-intel, hunting rule or IDS hits and no credential exfiltration.

Safety Factors (4)
Standard Microsoft Entra ID / Office 365 SharePoint sign-in flow with OAuth2 parameters and tenant GUID
Email + password fields are Microsoft's own login form posting same-provider to login.microsoftonline.com
No credential exfiltration, no disguised password fields, no payment fields
Only ranked Microsoft domains contacted by page scripts
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain 'acog-my.sharepoint.com' uses the commercial generic top-level domain (.com) and includes subdomain 'acog-my'. The core label 'sharepoint' covers 10 characters containing 4 vowels alongside six consonants. Splitting it apart reveals 2 words: share, point. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

ACOG Trying to sign you in Terms of usé Privacy & eo0kies

Page Load Overview

1.39s
Total Load Time
629 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:109 chars
Detector Agreement:88%

All Detected Languages

🇺🇸en(77%)🇮🇹it(15%)🇫🇷fr(8%)

Website Classification

Primary Category

healthcare medical42% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
42%
education learning
35%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
940.126.31.67Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
113.107.138.10Office365 · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
120.190.159.129Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
123.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
120.190.159.2Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
120.184.175.20Azure · CLOUDSan Jose, California, United States
AS8075Microsoft Corporation
113.107.136.10Office365 · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
140.126.31.69Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
113.107.246.45Azure · CLOUDUnited States
AS8075Microsoft Corporation
2315--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15EA37DEA7EA71D37C78A4174B5767E026E3A6803488CCCA4F19CC9842FEA74D8137957

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FBEB4HW38GLG2OWMFiD2qTyoGIZ9Tjuokmap5vPoMLufO0EHHiEC:iX8liDhTyGa/AkC

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100928:aKFoQKBmQQAHBEJPIPwg+QM7TkChBnjUNWBBQAUMOAqUuAAwoACIDRahUlCDxBAkRwU8BrYgOVRC0QBCzICZDgmknEB5ACiD

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:cf879f1b19190101
Perceptual Hash:98d57362c985cd9c
Difference Hash:981c323333331f1b
Wavelet Hash:efcf9f1b1b190101
Color Hash:0e603000000

Scan History

Scan history not available

Unable to load historical scan data