Summary
API
Submitted URL: https://erzim.netlify.app/
AI Security Verdict
Confirmed Scam
Confidence: 92%
Fake Zimbra login page on a Netlify subdomain that harvests username/password credentials and submits them to an external form service. Brand impersonation and cross-origin credential capture confirm phishing.
Risk Factors (6)
Details
Page Title
Zimbra Web Client Sign In
Scan Type
public
Domain Name Analysis
Within the application-focused generic top-level domain (.app), 'erzim.netlify.app' is registered; it also runs on subdomain 'erzim'. Its registrable label 'netlify' stretches across 7 characters with two vowels and 5 consonants. It segments into 3 words: net, li, fy. The median word length lands 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 |
|---|---|---|---|
| 3 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 3 | 93.94.224.225 | Netherlands | AS25151Cyso Group B.V. |
| 6 | 2 | - | - |
Detected Technologies3
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