Security Scan Report: agoda-connect.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 6 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

High Risk

Confidence: 85%

8
Risk Score

Impersonates Agoda's partner portal on an unofficial domain with a phishing threat-intel flag. No direct credential harvesting, but deceptive and high-risk.

Risk Factors (4)
Brand impersonation of Agoda on a mismatched domain
Single-source phishing threat intelligence match on primary domain
Hosted on a free subdomain (vercel.app) with no verified business identity
No legitimate business information (no physical address, no official contact)
Domain age information unavailable

Details

Page Title

Agoda Connect

Scan Type

public

Domain Name Analysis

Domain 'agoda-connect.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'agoda-connect'. The second-level label 'vercel' is 6 characters long split between 2 vowels and 4 consonants. Breaking it apart gives 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

> LIST MY PROPERTY agoda Programs Become our partner List your property on agoda.com and put yourself in front of millions of travelers per month LIST MY PROPERTY The easiest way to reach a glob...

Page Load Overview

0.68s
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%

All Detected Languages

🇺🇸en(96%)🇫🇷fr(2%)🇩🇪de(2%)

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
2864.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1223.36.157.84Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
7142.250.154.97Google · CDNUnited States
AS15169Google LLC
7216.239.38.178Google · CDNUnited States
AS15169Google LLC
7216.239.32.36Google · CDNUnited States
AS15169Google LLC
7216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
466--

Detected Technologies7

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:16000c00080

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data