Security Scan Report: meritusgaspartners.sharepoint.com

Redirected to:
https://login.microsoftonline.com/7d3a68ce-41fa-4783-bc08-bc875248da3f...
Site favicon
Submitted: Aug 27, 2026, 9:58:06 PMCompleted: Aug 27, 2026, 9:59:20 PMpubliccompleted

This website contacted 11 IPs in 4 countries across 8 domains to perform 23 HTTP transactions. The main domain is login.microsoftonline.com and was registered 35 years ago.

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

Effective URL:

https://login.microsoftonline.com/7d3a68ce-41fa-4783-bc08-bc875248da3f...
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

The page is a legitimate Microsoft sign‑in page with no malicious indicators.

Safety Factors
Official Microsoft login endpoint
Well‑known high‑ranking domain (Microsoft)
No suspicious JavaScript or exfiltration behavior
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'meritusgaspartners.sharepoint.com' is registered with subdomain 'meritusgaspartners'. Its registrable label 'sharepoint' stretches across 10 characters holding 4 vowels versus six consonants. Splitting it apart reveals 2 words: share, point. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.74s
Total Load Time
492 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
313.107.136.10Office365 · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
213.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
240.126.32.138Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
220.190.160.67Office365 · CLOUDAmsterdam, North Holland, Netherlands
AS8075Microsoft Corporation
223.207.210.132Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
220.190.159.68Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
240.126.31.73Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
223.207.210.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
213.107.138.10Office365 · CLOUDRedmond, Washington, United States
AS8075Microsoft Corporation
220.190.159.129Office365 · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
2311--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF536CEB3BC4302ECB8612B594EF7F05DA79595725C8C8C9F09DC84C09FAB9A8623517

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:litOtY8GLG2lQitB969n7tOvi69LolmTIZ9Tjuokmap5vPoMLuf+:YtOtY8Gtq7tVm2a/A8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60648:FQE6AUwYAZ0SMgAPWMkOEW8GB6wQM+YiCKCAIRYICAECJgRUWBgDI+ID2LRWBQEaIi0a2AODDiWCtgAcEAKKIUBAVpKCHSJS

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:#878bc5

Other Hashes

Crop Resistant:88e4d2d3e5eee6e6

Scan History

Scan history not available

Unable to load historical scan data