Security Scan Report: agoda-connect.vercel.app

Redirected to:
https://agoda-connect.vercel.app/
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Submitted: Jul 12, 2026, 10:51:47 PMCompleted: Jul 12, 2026, 10:53:20 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is agoda-connect.vercel.app and was registered NaN years ago.

Submitted URL: http://agoda-connect.vercel.app

Effective URL: https://agoda-connect.vercel.app/Redirected

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk site with self‑branding, no forms or malicious indicators; likely legitimate informational page.

Safety Factors
Self‑branding aligns with domain
Content appears informational about partnership program
External links point to official Agoda domains
Domain age information unavailable

Details

Page Title

Agoda Connect

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

corporate business

(60%)

Domain Information

The domain 'agoda-connect.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'agoda-connect'. Count 6 characters in 'vercel' with two vowels and four consonants. Word splitting yields 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://agoda-connect.vercel.app

Page Load Overview

7.36s
Total Load Time
48
HTTP Requests
5
Domains
2.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:1,588 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
60%
travel tourism
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24216.198.79.67United States
AS16509Amazon.com, Inc.
24142.251.13.97Google · CDNUnited States
AS15169Google LLC
482--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DD62E762EE05DD6B8113488BA5A3F748A1ABB11FCE32CD08F7FC868417D1EE2875165D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:roWTerdB/15jWILAq5CieY1tZN0BMbGsfobq:1erdB/DjWILAq5CieGtZN0+Hf4q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15048:jVFVQnMgIIlSMBpIEWESvAIAYwQVQI2iDABIsC4wFCAdAApJChZNMCCukCiATZFICxfgGKAIxBCmqobs0EMSs+C88CLAJHgE

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:00000000ffffffff
Perceptual Hash:921393a5270fadad
Difference Hash:699969699606a105
Wavelet Hash:00000000ffffffff
Color Hash:#5371ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data