Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is autodiscover.electricpowerresearch.onmicrosoft.com and was registered NaN years ago.
Submitted URL: https://autodiscover.electricpowerresearch.onmicrosoft.com
The Cisco Umbrella rank of the primary domain is #3,966 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate but currently returns a 502 error; no malicious activity detected.
Safety Factors
Details
Page Title
autodiscover.electricpowerresearch.onmicrosoft.com
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(69%)Domain Information
The domain 'autodiscover.electricpowerresearch.onmicrosoft.com' uses the commercial generic top-level domain (.com) with subdomain 'autodiscover.electricpowerresearch'. Count 11 characters in 'onmicrosoft' with 4 vowels and seven consonants. Splitting it apart reveals 2 words: on, microsoft. Median word length comes out to 5.5 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 |
|---|---|---|---|
| 2 | 52.98.171.248 | Sweden | |
| 2 | 1 | - | - |
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