Security Scan Report: agoda-connect.vercel.app

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Submitted: Jul 5, 2026, 9:52:07 AMCompleted: Jul 5, 2026, 9:53:43 AMpubliccompleted
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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: https://agoda-connect.vercel.app/

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site appears to be a low‑risk informational page with its own branding and no malicious activity detected.

Safety Factors
Self‑branding indicates the site is presenting its own brand, not impersonating another
Absence of forms or credential collection
No malicious JavaScript or external exfiltration observed
No threat‑intel or IDS alerts
Domain age information unavailable

Details

Page Title

Agoda Connect

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

corporate business

(60%)

Domain Information

Domain 'agoda-connect.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'agoda-connect'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

10.07s
Total Load Time
47
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
24142.251.13.97Google · CDNUnited States
AS15169Google LLC
23216.198.79.67United States
AS16509Amazon.com, Inc.
472--

Detected Technologies6

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:#65783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data