Summary
API
Submitted URL: https://bx.wsapbfy.net/leona.denesha/tessere.html
AI Security Verdict
Confirmed Scam
Confidence: 95%
Analyst-vetted Microsoft-styled 'Document Access Required' email-verification phishing kit: impersonates Microsoft to harvest email addresses and forwards victims to a next-stage phishing URL.
Risk Factors (6)
Details
Page Title
Document Access Verification
Scan Type
public
Domain Name Analysis
The domain name 'bx.wsapbfy.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'bx'. Its registrable label 'wsapbfy' stretches across 7 characters holding one vowel versus six consonants. Splitting it apart reveals 4 words: w, sap, b, fy. Expect 1.5 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 |
|---|---|---|---|
| 1 | 162.254.24.67 | United States | AS54548IONOS Cloud Inc. |
| 1 | 23.56.203.142Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 1 | 13.107.246.60Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 1 | 13.107.246.44Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 4 | 4 | - | - |
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