Summary
This website contacted 9 IPs in 3 countries across 4 domains to perform 66 HTTP transactions. The main domain is hotlaptech.com and was registered NaN years ago.
Submitted URL: https://hotlaptech.com/tech/microsoft-azure-outage-tracker/
AI Security Verdict
Confirmed Scam
Confidence: 95%
Confirmed phishing site impersonating Microsoft Azure on a newly registered, unranked domain.
Risk Factors
Details
Page Title
Microsoft Azure Outage 2025 – Real-Time Service Tracker
Scan Type
public
Language
English
Category
other
(61%)Domain Information
You're looking at domain 'hotlaptech.com' on the commercial generic top-level domain (.com) without a subdomain. The second-level label 'hotlaptech' is 10 characters long holding three vowels versus 7 consonants. Word splitting yields three words: hot, lap, tech. Average segment length settles at three characters. 'hot' most often appears in Chinese (Pinyin). It also appears in English and Malay contexts. Overall, 'hotlaptech.com' reads as Chinese (Pinyin).
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 |
|---|---|---|---|
| 10 | 142.250.181.234 | United States | AS15169GOOGLE |
| 7 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 142.250.186.35 | United States | AS15169GOOGLE |
| 7 | 66.29.141.48 | United States | AS22612NAMECHEAP-NET |
| 7 | 2a00:1450:4001:829::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 7 | 142.250.186.42 | United States | AS15169GOOGLE |
| 7 | 2a00:1450:4001:82f::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 7 | 142.250.185.227 | United States | AS15169GOOGLE |
| 7 | 2a04:fa87:fffe::c000:4902 | Ireland | AS2635AUTOMATTIC |
| 66 | 9 | - | - |
Detected Technologies13
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
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