Summary
API
This website contacted 13 IPs in 1 country across 9 domains to perform 14 HTTP transactions. The main domain is bookish-pancake-two.vercel.app and was registered 18 years ago.
Submitted URL: http://www.bookish-pancake-two.vercel.app/
Effective URL:
AI Security Verdict
Confirmed Scam
Confidence: 95%
Fake sign-in page on a Vercel subdomain uses a bogus browser/robot check and exfiltrates entered credentials via Telegram bot API. Do not enter data; report.
Risk Factors
Details
Page Title
Sign In.
Scan Type
public
Domain Name Analysis
The domain 'www.bookish-pancake-two.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.bookish-pancake-two'. The core label 'vercel' covers 6 characters with two vowels and four consonants. Word splitting yields two words: ver, cel. Median word length is three 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 |
|---|---|---|---|
| 2 | 142.251.127.95Google · CDN | United States | AS15169Google LLC |
| 1 | 216.198.79.3 | United States | AS16509Amazon.com, Inc. |
| 1 | 216.198.79.67 | United States | AS16509Amazon.com, Inc. |
| 1 | 142.251.154.119Google · CDN | United States | AS15169Google LLC |
| 1 | 104.17.208.5Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 142.251.152.119Google · CDN | United States | AS15169Google LLC |
| 1 | 64.29.17.3 | United States | AS16509Amazon.com, Inc. |
| 1 | 216.198.79.195 | United States | AS16509Amazon.com, Inc. |
| 1 | 104.26.12.205Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 1 | 64.29.17.195 | United States | AS16509Amazon.com, Inc. |
| 14 | 13 | - | - |
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