Security Scan Report: www.kayak.com.ni

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Submitted: Oct 5, 2026, 2:33:21 AMCompleted: Oct 5, 2026, 2:34:08 AMpubliccompleted

This website contacted 28 IPs in 3 countries across 14 domains to perform 239 HTTP transactions. The main domain is kayak.com.ni and was registered 18 years ago.

Submitted URL: https://www.kayak.com.ni/vuelos/Republica-Dominicana-DO0/Managua-Aeropuerto-Internacional-Augusto-C-Sandino-MGA

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Established KAYAK country domain (kayak.com.ni, 12 years old) serving an ordinary flight-search page with self-branding, no forms, and no Indicators of Compromise, malware, or IDS alerts. No risk factors found.

Safety Factors (5)
12-year-old established domain registration
Self-branding consistent with domain (KAYAK on kayak.com.ni)
No credential or payment forms present
No Indicators of Compromise, malware, or network IDS alerts
Third-party scripts (Forter fraud-prevention, DoubleClick, Bing, Google accounts) are normal for a large travel site
Domain age information unavailable

Details

Page Title

$517 | Vuelos baratos desde República Dominicana a Managua | KAYAKother network

Scan Type

public

Domain Name Analysis

Domain 'www.kayak.com.ni' uses the Nicaraguan country-code top-level domain (.com.ni) and includes subdomain 'www'. The core label 'kayak' covers 5 characters containing two vowels alongside 3 consonants. Splitting it apart reveals 1 word: kayak. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.kayak.com.ni/vuelos/Republica-Dominicana-DO0/Managua-Aeropuerto-Internacional-Augusto-C-Sandino-MGA

Page Load Overview

10.41s
Total Load Time
2.8 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es-ni
Text Length:66 chars
Detector Agreement:100%

Website Classification

Primary Category

travel tourism42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
42%
adult content
37%
corporate
35%
government public service
30%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23146.75.121.29Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
8176.34.114.237Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
83.174.45.120Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8142.251.127.84Google · CDNUnited States
AS15169Google LLC
813.226.244.104Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8142.251.20.97Google · CDNUnited States
AS15169Google LLC
8150.171.27.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
8142.251.154.119Google · CDNUnited States
AS15169Google LLC
8142.251.14.149Google · CDNUnited States
AS15169Google LLC
857.129.18.111Frankfurt am Main, Hesse, Germany
AS16276OVH SAS
23928--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BC353C3946C02DBA6B2347DABA33BF4371D9201DE489C082D6FB87A803DED68594775D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:I6cWlKBcWlPJOOwd34VC/9SMlFVd9OSIczKiyY1E0TQFx9TwKLvZhEJQmS0CDJy0:I3VJOOwd34VC/9SMlFVd9OSIczKiyY1y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1114548:QIEXHEjDtoAD4MjoMDCC0FASe+AAC4xBJKVsE0CICMoGI6hEoB0MCoQQIkLAAAVYYHKVERqJGQIyL6kQJgwBB8CR0SE0LCG4

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:3c3c3c3c3c3c0000
Perceptual Hash:9fd9619e7021e067
Difference Hash:7078e8786969684e
Wavelet Hash:fe3e3c3e3c3c1c00
Color Hash:#77862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data