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

Redirected to:
https://agoda-ambassador-dashboard.netlify.app/
Submitted: Sep 28, 2026, 10:50:15 AMCompleted: Sep 28, 2026, 10:50:54 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 name 'agoda-ambassador-dashboard.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'agoda-ambassador-dashboard'. The core label 'netlify' covers 7 characters with 2 vowels and five consonants. Segmentation suggests three words: net, li, fy. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.16s
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

technology software46% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
46%
documentation technical
46%
corporate
25%

Detected Features

OG: website

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--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16CE1536A9347722BAC4F5C1E43F5B6CEA0669107C8D202D4BBED836862D75F352D642C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TGmwyA2qlRp7rqGyEtZJ3RoXID5CDoX3rZVnIxMvfwDo+MXiyko:amwyA2q57rJPoXdDoXbZV8MMo+Myo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7370:EWAJhoCAgIBQCBAITtJsEsAQBJImhFGSYoQViAeQJTkAmYFwAmSTBEARCBFCNAEFEJPVFhERIDLgEAwDASEJAQAgcMgCSSaB

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:b399cc6c33323399
Difference Hash:0000080c0c0c0000
Wavelet Hash:f0f0e0e007073f3f
Color Hash:#bfd279

Other Hashes

Crop Resistant:0000080c0c0c0000

Scan History

Scan history not available

Unable to load historical scan data