Summary
This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is secwatch365.eu.portal.cloudappsecurity.com and was registered NaN years ago.
Submitted URL: https://www.secwatch365.eu.portal.cloudappsecurity.com
The Cisco Umbrella rank of the primary domain is #31,857 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 99%
AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.
Safety Factors
Details
Page Title
Page not found
Scan Type
public
Language
English
Category
documentation technical
(83%)Domain Information
The domain 'www.secwatch365.eu.portal.cloudappsecurity.com' uses the commercial generic top-level domain (.com) with subdomain 'www.secwatch365.eu.portal'. Its registrable label 'cloudappsecurity' stretches across 16 characters with 6 vowels and ten consonants. Segmentation suggests three words: cloud, app, security. The median word length lands at five characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 1 | 13.107.228.27 | United States | AS8075Microsoft Corporation |
| 1 | 1 | - | - |
Detected Technologies3
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data