Security Scan Report: grhc.sharepoint.com

Redirected to:
https://login.microsoftonline.com/8147b0f8-2d9d-4a5b-a0d2-e3a8e66a3c10...
Site favicon
Submitted: Sep 13, 2026, 7:20:05 AMCompleted: Sep 13, 2026, 7:20:29 AMpubliccompleted

This website contacted 18 IPs in 4 countries across 7 domains to perform 17 HTTP transactions. The main domain is login.microsoftonline.com and was registered 28 years ago.

Submitted URL: https://grhc.sharepoint.com

Effective URL:

https://login.microsoftonline.com/8147b0f8-2d9d-4a5b-a0d2-e3a8e66a3c10...
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: 95%

0
Risk Score

Official Microsoft sign-in page for SharePoint tenant grhc.sharepoint.com; legitimate SSO flow with no malicious indicators.

Safety Factors
Official Microsoft authentication domain
Legitimate OAuth/SSO redirect to SharePoint tenant
No threat-intel matches
No credential exfiltration
Cross-origin form submission is a verified legitimate SSO flow
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain name 'grhc.sharepoint.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'grhc'. The core label 'sharepoint' covers 10 characters with four vowels and 6 consonants. Splitting it apart reveals 2 words: share, point. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grhc.sharepoint.com

Page Load Overview

2.19s
Total Load Time
481 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:100%

Website Classification

Primary Category

technology software79% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
79%
social media network
28%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1720.190.160.130Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
020.190.160.22Azure · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
052.107.243.83Office365 · CLOUDFrankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
088.221.92.162Vienna, Vienna, Austria
AS20940Akamai International B.V.
040.126.32.140Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
088.221.92.192Vienna, Vienna, Austria
AS20940Akamai International B.V.
013.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
088.221.92.139Vienna, Vienna, Austria
AS20940Akamai International B.V.
088.221.92.161Vienna, Vienna, Austria
AS20940Akamai International B.V.
052.107.243.86Office365 · CLOUDFrankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
1718--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE537CAA7F983027CB830575D4AF7B07EA7919174884C889F2CDCD8D1EB6F6A4227107

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ji8GLG2na4cSXhrLKcHTIZ9Tjuokmap5vPoMLuB4:28GJH2a/Ak

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61575:QgCVFxGUQIfFNDMAdwhhSgACAJBEN4YBAABGUDohTRQpAkyGSIcb4QJACa1iGkgMCkSwSAJKJtWCKi8wKIkOmChmAs5QQpQA

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:0010393b373f3737
Perceptual Hash:845971764699d96e
Difference Hash:88e4d2d3e5eee6e6
Wavelet Hash:00003b3b373f373f
Color Hash:#b1c587

Other Hashes

Crop Resistant:88e4d2d3e5eee6e6

Scan History

Scan history not available

Unable to load historical scan data