Summary
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is dazzling-sorbet-6d422c.netlify.app and was registered NaN years ago.
Submitted URL: https://dazzling-sorbet-6d422c.netlify.app/security.oauth.roundcube.webmail.client.audit.log.telemetry?email=support@domaindb.com
AI Security Verdict
High Risk
Confidence: 80%
Impersonates Roundcube Webmail login page on an unknown Netlify subdomain to harvest credentials – high risk.
Risk Factors
Details
Page Title
Roundcube Webmail :: Welcome to Roundcube Webmail
Scan Type
public
Language
English
Category
news media journalism
(55%)Domain Information
Within the application-focused generic top-level domain (.app), 'dazzling-sorbet-6d422c.netlify.app' is registered; it also runs on subdomain 'dazzling-sorbet-6d422c'. The registrable portion 'netlify' spans 7 characters split between two vowels and five consonants. Breaking it apart gives three words: net, li, fy. Average segment length settles at two 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 |
|---|---|---|---|
| 6 | 35.157.26.135 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 6 | 1 | - | - |
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