Security Scan Report: tr-ecs-mira.office.com

Redirected to: https://tr-ecs-mira.office.com/mail/?bO=1&msalAuthRedirect=true&sessionId=859f7987-c5d2-441c-9ae3-5dd0bba53aab

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Submitted: Nov 24, 2025, 9:29:57 PMCompleted: Nov 24, 2025, 9:32:48 PMpubliccompleted
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Summary

This website contacted 67 IPs in 5 countries across 8 domains to perform 99 HTTP transactions. The main domain is tr-ecs-mira.office.com and was registered NaN years ago.

Submitted URL: https://tr-ecs-mira.office.com/

Effective URL: https://tr-ecs-mira.office.com/mail/?bO=1&msalAuthRedirect=true&sessionId=859f7987-c5d2-441c-9ae3-5dd0bba53aabRedirected

The Cisco Umbrella rank of the primary domain is #6 of the top 1 million websitesTop 100 Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain
High Cisco Umbrella ranking
Official Microsoft subdomain
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(56%)

Domain Information

The domain 'tr-ecs-mira.office.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'tr-ecs-mira'. The core label 'office' covers 6 characters with 3 vowels and 3 consonants. Segmentation suggests 1 word: office. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tr-ecs-mira.office.com/

Page Load Overview

0.57s
Total Load Time
99
HTTP Requests
8
Domains
5.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:853 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical56% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
56%
technology software
55%
cryptocurrency blockchain
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5923.50.131.90Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1213.107.213.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
852.123.224.70Frankfurt am Main, Hesse, Germany
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
340.126.32.138Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
223.50.131.78Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.107.246.44United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
152.123.243.212Frankfurt am Main, Hesse, Germany
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
1104.208.16.95Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
152.123.243.214Frankfurt am Main, Hesse, Germany
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
123.50.131.83Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9967--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19962FB2118445839FF13E365A7E6FE4D36397287FC224E5CE29D63E808C1FE85617662

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:ODIZZ4cBBUkyvZHTSSQikFlDpr1TOmcrp1nwNKx3PDtkt6OA0J/9Hu:OMZ4sUHhsZ16mcl1fAJA0J/I

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14961:HmRCAEcAIVEAxUAAECLAFiWAuIKYiQiBEAqzIEUSJTDLgGUghAKMFoUYZRMSCTYASABeTqMGPg7o5ADOAAK6ArqDQCJQkSVC

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:ffffffe7e7ffffe7
Perceptual Hash:e689996666999966
Difference Hash:0008000c0c000008
Wavelet Hash:0f0f1f0720303c24
Color Hash:#2d7d86

Other Hashes

Crop Resistant:0008000c0c000008

Scan History

Scan history not available

Unable to load historical scan data