Security Scan Report: agoda-connect.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 5 domains to perform 46 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

Moderate Risk

Confidence: 62%

5
Risk Score

Unofficial vercel.app page wearing Agoda's brand and © Agoda/Booking Holdings. No credential or payment forms and links point to real Agoda domains, but the brand impersonation and unattributable hosting warrant caution.

Risk Factors (4)
Impersonation of another entity's brand (Agoda) on a non-official domain
Hosted as an unattributable free subdomain on a shared PaaS platform (vercel.app) with unknown content age
Brand assets loaded from Agoda's CDN without evidence of authorization
IDS alerts flagging vercel.app as a commonly actor-abused cloud hosting service
Safety Factors (4)
No credential, login or payment form on the page (0 forms, 0 password fields, 0 payment fields)
Outbound login/help links resolve to genuine Agoda-operated domains
No Indicators of Compromise, no JavaScript hunting rule malware patterns, no known phishing kit in the kit roster
Only cross-origin script contact is Google Analytics (region1.google-analytics.com)
Domain age information unavailable

Details

Page Title

Agoda Connect

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'agoda-connect.vercel.app' is registered and includes subdomain 'agoda-connect'. Count 6 characters in 'vercel' with 2 vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

LIST MY PROPERTY, Q = The easiest way to reach a global audience Agoda is one of the world’s largest & fastest growing online travel platforms for hotels, vacation rentals, flights and more! & ny o...

Page Load Overview

6.02s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
33%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5142.251.14.97Google · CDNUnited States
AS15169Google LLC
52.22.85.25Akamai · CDNLisbon, Lisbon, Portugal
AS16625Akamai Technologies, Inc.
5216.239.32.36Google · CDNUnited States
AS15169Google LLC
5142.251.14.101Google · CDNUnited States
AS15169Google LLC
5216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
5142.251.13.101Google · CDNUnited States
AS15169Google LLC
468--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E562F762EE05DD6B8113488BA1A3F748A1ABB11FCE32CD08F7FC868417D1EE6875165D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:/oWverdB/15jWILAq5CieY1tZN0BMbGsfobq:xerdB/DjWILAq5CieGtZN0+Hf4q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15232:kPAoCREQyTPBgPFQAA8gEGIKVU5FVACCSIkUBBAAsgDKIBoAFKCUB1IKRRAEBibeSHQ0Bi9AzSThUTICIgJDgnUgpAAuQCDA

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:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data