Summary
API
Submitted URL: https://outlook-silk-nine.vercel.app/#ur
AI Security Verdict
Confirmed Scam
Confidence: 97%
Confirmed Microsoft credential-phishing page on a free vercel.app subdomain: fake 'security verification' password form, Safe Browsing social-engineering hit, and a Telegram bot token in script for exfiltration. Never enter credentials.
Risk Factors (7)
Details
Page Title
Security verification - Microsoft account
Scan Type
public
Domain Name Analysis
Within the application-focused generic top-level domain (.app), 'outlook-silk-nine.vercel.app' is registered and includes subdomain 'outlook-silk-nine'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
All Detected Languages
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 3 | 64.29.17.3Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 1 | 104.26.9.44Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 23.52.181.212Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 1 | 142.251.110.95Google · CDN | United States | AS15169Google LLC |
| 0 | 216.198.79.131Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 0 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 0 | 23.207.210.74Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 2.21.20.135Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 172.67.69.226Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 0 | 64.29.17.131Aws · CLOUD | United States | AS16509Amazon.com, Inc. |
| 7 | 10 | - | - |
Detected Technologies5
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