Security Scan Report: oauth.officeapps.live.com.mcas.ms

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Submitted: May 22, 2026, 10:24:40 PMCompleted: May 22, 2026, 10:27:39 PMpubliccompleted
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Summary

This website contacted 3 IPs in 3 countries across 4 domains to perform 19 HTTP transactions. The main domain is oauth.officeapps.live.com.mcas.ms and was registered NaN years ago.

Submitted URL: https://oauth.officeapps.live.com.mcas.ms

The Cisco Umbrella rank of the primary domain is #7,107 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #7,107.

Safety Factors
Well-established domain (ranked #7,107)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Redirect Notice

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(75%)

Domain Information

Domain 'oauth.officeapps.live.com.mcas.ms' uses the .ms country-code top-level domain; it also runs on subdomain 'oauth.officeapps.live.com'. Its registrable label 'mcas' stretches across 4 characters containing 1 vowel alongside 3 consonants. Segmentation suggests 2 words: mc, as. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oauth.officeapps.live.com.mcas.ms

Page Load Overview

30.15s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:795 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software75% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
75%
documentation technical
48%
adult content
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
123.52.181.212Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
020.90.50.115Cardiff, Wales, United Kingdom
AS8075Microsoft Corporation
0150.171.109.100United States
AS8075Microsoft Corporation
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T165F1955FCCD38C1587A1C28D94FD77CCA92DAB4B9885C854F99C4B848FD6AE9C5C21C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:+d1aM1ab1as1ah1ao+e1a5WxzFIfzYGxzYhn9qlNzU4xDwzOSyrgpo1ajcB97ZSt:+HfgDOjz3xpIf7xO8lNAXz8RHDmx0jxe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7747:o0BgOUQYOYkAEEwAQgZQAEiakEEeRiEATDo4A2OAMx8BQbRkQJkhGglRE6sAACQIAHYgSAAUlEeBQPKIMWIShyGYAYQMogTY

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:ffe7c3e7ffffff01
Perceptual Hash:a3728dd88df02772
Difference Hash:000c0c08000000c1
Wavelet Hash:3f2703270f0fff00
Color Hash:#2d4c86

Other Hashes

Crop Resistant:000c0c08000000c1

Scan History

Scan history not available

Unable to load historical scan data