Summary
API
Submitted URL: https://wehbmalmtz.vercel.app/?89814f65-4c33-43bf-9da6-d75601d37375
AI Security Verdict
High Risk
Confidence: 65%
Branded 'Bellis MyAccount' login collecting username/password on a random Vercel subdomain with a UUID link and IP-fingerprinting script — shape of a credential-phishing portal, not the brand's real site.
Risk Factors (5)
Details
Page Title
Welcome Back!
Scan Type
public
Domain Name Analysis
The domain 'wehbmalmtz.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'wehbmalmtz'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. Segmentation suggests 2 words: ver, cel. Median word length is 3 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 |
|---|---|---|---|
| 4 | 64.29.17.195Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 1 | 172.217.208.95Google · CDN | United States | AS15169Google LLC |
| 1 | 104.26.13.205Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 216.198.79.195Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 1 | 104.26.12.205Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 8 | 5 | - | - |
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