Security Scan Report: deploy-preview-58919--kubernetes-io-main-staging.netlify.app

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Submitted: Completed: publiccompleted
This website contacted 11 IPs in 2 countries across 6 domains to perform 29 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://deploy-preview-58919--kubernetes-io-main-staging.netlify.app/zh-cn/case-studies/booking-com/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Preview build of the Kubernetes site serving a Booking.com case-study article. No forms, no credential collection, no threat-intel, malware or IDS hits; brand names are reported on, not impersonated.

Safety Factors (4)
Editorial article content (og:type=article) about a company's Kubernetes adoption, not a login or checkout surface
No credential, payment or disguised password fields present
No Indicators of Compromise, malware, IDS or obfuscated-script findings
Third-party script hosts are all top-1M ranked common libraries
Domain age information unavailable

Details

Page Title

Booking.com Case Study | Kubernetes

Scan Type

public

Domain Name Analysis

You're looking at domain 'deploy-preview-58919--kubernetes-io-main-staging.netlify.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'deploy-preview-58919--kubernetes-io-main-staging'. The second-level label 'netlify' is 7 characters long with 2 vowels and 5 consonants. Splitting it apart reveals 3 words: net, li, fy. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://deploy-preview-58919--kubernetes-io-main-staging.netlify.app/zh-cn/case-studies/booking-com/

Page Load Overview

1.79s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:zh-cn
Text Length:9,338 chars
Detector Agreement:100%
Language mismatch: Declared as zh-cn but detected as en

Website Classification

Primary Category

technology software42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
42%
cryptocurrency blockchain
42%
corporate
35%
education learning
31%
corporate business
26%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
935.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2142.251.153.119Google · CDNUnited States
AS15169Google LLC
2142.251.110.102Google · CDNUnited States
AS15169Google LLC
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
2142.251.150.119Google · CDNUnited States
AS15169Google LLC
2142.251.110.138Google · CDNUnited States
AS15169Google LLC
2911--

Detected Technologies5

JQueryv3.7.1
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18F632AE2A2B011B6814357D99F56AB24A253509FF7D3AA8076EFC77C6B97C80F903C14

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+EnVMaCsfaSIgBiqZgpoLwepzI2hfki192oZQ7sD+36lwCS1g+SRu28oMbZJmv2A:epY+2akwkYy2vqOTafKmPx+2akwG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71212:8QXiEwgkAQECHZQWhALTYQRUWEQIAMhXQAFClZomGd6LZaQfAABSQAvIAwwwSVMq8nQOIBDiEKEbxCcQDALALDIoDQkJh8EI

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:ab205edde9213696
Difference Hash:31fd8f8b72755b43
Wavelet Hash:00000000ffffffff
Color Hash:07000c80000

Scan History

Scan history not available

Unable to load historical scan data