Security Scan Report: cac-word-edit.officeapps.live.com

Redirected to:
https://m365.cloud.microsoft/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 21 IPs in 4 countries across 18 domains to perform 63 HTTP transactions. The main domain is live.com and was registered 31 years ago.

Submitted URL: https://cac-word-edit.officeapps.live.com

Effective URL:
https://m365.cloud.microsoft/
Redirected

The Cisco Umbrella rank of the primary domain is #7 of the top 1 million websitesTop 100 Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Official Microsoft 365/Copilot page reached via redirect to a Microsoft-owned domain; no forms, phishing, malware, or threat-intel evidence found.

Safety Factors (4)
Final destination is Microsoft's own m365.cloud.microsoft domain
Page belongs to the Microsoft 365 product family and is self-branded
No forms or credential/payment collection fields present
No threat intelligence, JavaScript malware, or credential exfiltration signals
Domain age information unavailable

Details

Page Title

Microsoft 365 - Sign into Copilot

Scan Type

public

Domain Name Analysis

You're looking at domain 'cac-word-edit.officeapps.live.com' on the commercial generic top-level domain (.com), featuring subdomain 'cac-word-edit.officeapps'. The core label 'live' covers 4 characters containing 2 vowels alongside two consonants. Breaking it apart gives 1 word: live. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cac-word-edit.officeapps.live.com

Page Load Overview

3.38s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:19,930 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software90% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
90%
education learning
62%
forum
20%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
313.107.246.60Azure · CLOUDUnited States
AS8075Microsoft Corporation
323.103.241.52Azure · CLOUDFrankfurt am Main, Hesse, Germany
AS8075Microsoft Corporation
3150.171.109.194Azure · CLOUDUnited States
AS8075Microsoft Corporation
313.107.6.156Azure · CLOUDUnited States
AS8068Microsoft Corporation
323.59.18.102Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS16625Akamai Technologies, Inc.
323.56.203.142Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
352.108.8.12Office365 · CLOUDUnited States
AS8075Microsoft Corporation
32.20.245.164Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
320.250.198.32Azure · CLOUDZurich, Zurich, Switzerland
AS8075Microsoft Corporation
351.8.44.252Azure · CLOUDDulles, Virginia, United States
AS8075Microsoft Corporation
6321--

Detected Technologies2

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117A15233D0308C06A7209254ADC2B464FA7B42A78648FC91F59F856E5FC5BEAA0D331E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:fBeQmDejm/+neUmACQUrWFdABIb3+CbQsvHxH9p:feO1eBCbdT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4675:ABAACgAKQOkFAYJIAiZAwCAwWAsABQ0QAEIyEcAAECIBAxEiAASqogAACAAAwVAATBIAMAyCRAMAEVAABIFaAwAMkUQMggBB

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:07e381c3e7e7ffbf
Perceptual Hash:b36c8e93346c3b8a
Difference Hash:4d0e0b174c48b068
Wavelet Hash:04808081e7e7ffbf
Color Hash:#d22dc5

Other Hashes

Crop Resistant:4d0e0b174c48b068

Scan History

Scan history not available

Unable to load historical scan data