Summary
This website contacted 3 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is mattcomps.com and was registered NaN years ago.
Submitted URL: https://www.mattcomps.com/Justification/online/online-b781hj4-e0bc-4c2e-a435-97dshj6735-8645jel35/microsoft/
AI Security Verdict
High Risk
Confidence: 88%
Page impersonates Microsoft sign‑in, flagged by Safe Browsing; treat as high‑risk phishing.
Risk Factors
Details
Page Title
Sign in
Scan Type
public
Language
English
Category
technology software
(54%)Domain Information
The domain name 'www.mattcomps.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 9 characters in 'mattcomps' holding 2 vowels versus 7 consonants. Word splitting yields 3 words: matt, comp, s. Expect four characters per word on average. 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 |
|---|---|---|---|
| 3 | 185.158.249.95 | Rotterdam, South Holland, Netherlands | AS58329servinga GmbH |
| 2 | 132.148.154.14 | United States | AS398101GoDaddy.com, LLC |
| 2 | 13.107.246.44Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 7 | 3 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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