Summary
API
Submitted URL: http://agoda-ambassador-dashboard.netlify.app
AI Security Verdict
Not Assessed
This page returned an error, but threat-intelligence feeds list this site for malicious content: the listed page was probably taken down or is hidden from our scanner. This is not a statement that the site is safe.
A listed site can still show its malicious page to other visitors or at another address.
Security Verdict: High Risk
Details
Page Title
Site not foundother network
Scan Type
public
Domain Name Analysis
You're looking at domain 'agoda-ambassador-dashboard.netlify.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'agoda-ambassador-dashboard'. The core label 'netlify' covers 7 characters holding two vowels versus five consonants. Splitting it apart reveals three words: net, li, fy. Median word length comes out to 2 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 | 35.157.26.135Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 1 | 63.176.8.218Aws · CLOUD | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 3 | 2 | - | - |
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