Security Scan Report: agoda-ambassador-dashboard.netlify.app

Redirected to:
https://agoda-ambassador-dashboard.netlify.app/
Submitted: Sep 14, 2026, 8:50:07 AMCompleted: Sep 14, 2026, 8:50:29 AMpubliccompleted

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is agoda-ambassador-dashboard.netlify.app and was registered 8 years ago.

Submitted URL: http://agoda-ambassador-dashboard.netlify.app

Effective URL:

https://agoda-ambassador-dashboard.netlify.app/
Redirected

AI Security Verdict

High Risk

Confidence: 99%

7
Risk Score

Google Safe Browsing flags this site as dangerous — rated high risk on that basis.

Domain age information unavailable

Details

Page Title

Site not foundsecondary capture

Scan Type

public

Domain Name Analysis

The domain 'agoda-ambassador-dashboard.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'agoda-ambassador-dashboard'. The core label 'netlify' covers 7 characters split between two vowels and 5 consonants. Breaking it apart gives 3 words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://agoda-ambassador-dashboard.netlify.app

Page Load Overview

0.46s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:312 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
163.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C66161A9C41A203F6D93681F13A4CA4D60297207DD9147D8FFEA53ACD2DBAF305C2428

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGN6B6mAhmwmEmTywKkQcbxmT90H+mkfdMmS6/An2qnlBYG3q2YZ8ReT3bZUsoX0:TGHwyA2qlRYZJ3RoXI4+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3227:CAAAAEAMQAAAGAAQAAACIgBQAFA0QAsFBCSA4QCgIACAAAAIAEiSEgQIQgAQKCAEIAUACEAEQAQAAAiAEAAAACAIAAAAAARA

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

Average Hash:ffffe7e7e7e7ffff
Perceptual Hash:b326cc99336c9933
Difference Hash:0000080c0c080000
Wavelet Hash:f0f0e4e424243c3c
Color Hash:#2dd2c2

Other Hashes

Crop Resistant:0000080c0c080000

Scan History

Scan history not available

Unable to load historical scan data