Summary
This website contacted 50 IPs in 2 countries across 13 domains to perform 60 HTTP transactions. The main domain is cdn2.booqable.com and was registered NaN years ago.
Submitted URL: https://cdn2.booqable.com/
The Cisco Umbrella rank of the primary domain is #275,819 of the top 1 million websites
AI Security Verdict
Low Risk
Confidence: 70%
Low risk; unusual CDN subdomain for login but no strong malicious indicators.
Risk Factors
Safety Factors
Details
Page Title
Log in - Booqable
Scan Type
public
Language
English
Category
social media network
(51%)Domain Information
The domain 'cdn2.booqable.com' uses the commercial generic top-level domain (.com) with subdomain 'cdn2'. Its registrable label 'booqable' stretches across 8 characters holding four vowels versus 4 consonants. Tokenizing the label suggests 3 words: boo, q, able. 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 |
|---|---|---|---|
| 23 | 13.35.58.71 | United States | AS16509AMAZON-02 |
| 11 | 13.35.58.69 | United States | AS16509AMAZON-02 |
| 10 | 3.174.47.131 | United States | AS16509AMAZON-02 |
| 4 | 3.225.137.96 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 142.250.185.136 | United States | AS15169GOOGLE |
| 3 | 23.32.238.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 23.32.238.235 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 3.174.46.72 | United States | AS16509AMAZON-02 |
| 60 | 50 | - | - |
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