Summary
This website contacted 10 IPs in 3 countries across 6 domains to perform 41 HTTP transactions. The main domain is login.microsoftonline.com and was registered NaN years ago.
Submitted URL: https://quoteday.dev/auth/microsoft
Effective URL: https://login.microsoftonline.com/common/oauth2/v2.0/authorize?client_id=fd81e8a2-09f4-44ab-9403-a9f82e033c8a&redirect_uri=https%3A%2F%2Fquoteday.dev%2Fauth%2Fmicrosoft%2Fcallback&scope=openid+profile+User.Read&response_type=code&state=EV0yif8toqbIIBvSxeUC2ULcTtXnGqd205O6STlw&sso_reload=trueRedirected
AI Security Verdict
High Risk
Confidence: 92%
The page mimics a Microsoft login on an unrelated, unranked domain and harvests credentials – likely a phishing site.
Risk Factors
Details
Page Title
Sign in to your account
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
Domain 'quoteday.dev' uses the developer-focused generic top-level domain (.dev) with no subdomain. Count 8 characters in 'quoteday' with 4 vowels and 4 consonants. It segments into 2 words: quote, day. Median word length comes out to four 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 | 20.190.160.4 | Netherlands | |
| 1 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 2.16.241.211 | India | Unknown |
| 1 | 40.126.32.138 | Unknown | Unknown |
| 1 | 20.190.160.2 | Unknown | Unknown |
| 1 | 40.74.98.195 | Unknown | Unknown |
| 1 | 20.190.160.128 | Amsterdam, North Holland, Netherlands | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 1 | 46.202.162.40 | Mumbai, Maharashtra, India | AS47583Hostinger International Limited |
| 1 | 40.126.32.76 | Unknown | Unknown |
| 1 | 2.16.241.207 | Unknown | Unknown |
| 10 | 10 | - | - |
Detected Technologies4
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