Security Scan Report: oworkspace-sharepoint.eastasia.cloudapp.azure.com

Submitted: Jul 13, 2026, 12:45:10 PMCompleted: Jul 13, 2026, 12:46:28 PMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is oworkspace-sharepoint.eastasia.cloudapp.azure.com and was registered NaN years ago.

Submitted URL: https://oworkspace-sharepoint.eastasia.cloudapp.azure.com/Zz7ZPAZ/:w:/r/personal/Document/Security/_layouts/15/AllItems.aspx/?sourcedoc=%7BDD577A58-83F8-127C-B8CE-73B67D962532%7D

The Cisco Umbrella rank of the primary domain is #103 of the top 1 million websitesTop 1K Site

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

The site mimics a Microsoft sign‑in page and captures credentials on a non‑Microsoft domain, indicating a high‑risk brand impersonation phishing attempt.

Risk Factors
Brand impersonation of Microsoft on unrelated domain
Credential collection (password field) targeting Microsoft‑style login
Safety Factors
Domain age 11584 days (well‑established)
No malicious IoC or malware detections
No network IDS alerts
Top-ranked domain (Cisco Umbrella #103, 11584 days old) with no strong malicious indicators — a login form on a household-name site is normal; risk clamped from 8 to 3
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(62%)

Domain Information

Domain 'oworkspace-sharepoint.eastasia.cloudapp.azure.com' uses the commercial generic top-level domain (.com) with subdomain 'oworkspace-sharepoint.eastasia.cloudapp'. Count 5 characters in 'azure' containing 3 vowels alongside 2 consonants. Segmentation suggests one word: azure. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oworkspace-sharepoint.eastasia.cloudapp.azure.com/Zz7ZPAZ/:w:/r/personal/Document/Security/_layouts/15/AllItems.aspx/?sourcedoc=%7BDD577A58-83F8-127C-B8CE-73B67D962532%7D

Page Load Overview

5.90s
Total Load Time
3
HTTP Requests
2
Domains
4 KB
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:702 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software62% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
62%
documentation technical
55%
adult content
35%
corporate business
31%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.97.79.39Azure · CLOUDHong Kong, Hong Kong
AS8075Microsoft Corporation
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
32--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B9320DB0F0A50036A177E9D13A666B5F3690EA13C84B83447BEC66908FC7ED6DE57604

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:gxbm2bSlwmucEFhh/dW2AkCaMoOdMvQWZSfFX:ASwHFh77AkCakl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11180:C4hAmZdGByLID4hY1BEEggFFgSskBAYwFAEFwUEEFaCCHIRJ9OCJKNaIECAwdWCgEhfISNVFRR4QEQkvjcRGxBqQsYgDQgSC

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:004feffff7e7ffff
Perceptual Hash:a1191b664e597766
Difference Hash:d09b5a12250c0400
Wavelet Hash:000000efd3e7e7ff
Color Hash:#d22dae

Other Hashes

Crop Resistant:d09b5a12250c0400

Scan History

Scan history not available

Unable to load historical scan data