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

Redirected to:
https://agoda-ambassador-dashboard.netlify.app/
Submitted: Sep 21, 2026, 9:50:14 AMCompleted: Sep 21, 2026, 9:50:34 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

You're looking at domain 'agoda-ambassador-dashboard.netlify.app' on the application-focused generic top-level domain (.app), featuring subdomain 'agoda-ambassador-dashboard'. The core label 'netlify' covers 7 characters holding 2 vowels versus 5 consonants. Word splitting yields three 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

0.36s
Total Load Time
8 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:368 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical48% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
48%
technology software
47%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0F1866A9347722BAC4F5C1E83F5B6CEA0566107CCE201D47BEE836862C75F312D652C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGDwyA2qlRp7rqGyEtZJ3RoXIh8SsZcCDoX3rZVnIxMvfwDo+MXiykp:aDwyA2q57rJPoXsvsHDoXbZV8MMo+Myp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7529:gEQBOADFQQ8CKJJAYkAaCCEAEcR5CElYIEkAgGKQIExCsdVBSKTwgQxJKQAIJVAECJvlAzgGMACpDFFAgsMeAQAigZKANhRC

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:b399cc66334c3399
Difference Hash:00000c0c0c0c0000
Wavelet Hash:3f3f272704040c0c
Color Hash:#784f3a

Other Hashes

Crop Resistant:00000c0c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data