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LIMITED DATA

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Security Scan Report: kubernetes.github.io

Submitted: Dec 24, 2025, 11:49:45 AMCompleted: Dec 24, 2025, 12:15:13 PMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is kubernetes.github.io and was registered NaN years ago.

Submitted URL: https://kubernetes.github.io

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Site not found · GitHub Pages

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(79%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'kubernetes.github.io' is registered, featuring subdomain 'kubernetes'. Its registrable label 'github' stretches across 6 characters holding 2 vowels versus four consonants. Segmentation suggests three words: g, it, hub. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kubernetes.github.io

Page Load Overview

30.50s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:756 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software79% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
79%
documentation technical
54%
adult content
44%
cryptocurrency blockchain
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.199.109.153United States
AS54113FASTLY
1185.199.108.153United States
AS54113FASTLY
1185.199.111.153United States
AS54113FASTLY
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F126D7E19E93308D8028A1539B267993D75480F9E866E6FB5AD0351CF8FE10E1637CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:95wnb1iC9OA9XXMa9kukrALQDUnulGVopLAGCALQD6vnglET31iCLL3Z:9eB8H3DUulGmmv3D6vglETliCfJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9086:gY2CAICbgAHCgZCAjjjkITRBHoYDBBQVXBpgGOGCokAiGJFKQQ8QpKl8HUCcCFzEAgKQlRYBqAIbAQAAPyElKAEoABzQyENq

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:e7e7e7ffffffffff
Perceptual Hash:b33326cecccccc31
Difference Hash:080c0c0000000000
Wavelet Hash:270327270f0f0f0f
Color Hash:#3a784e

Other Hashes

Crop Resistant:080c0c0000000000

Scan History

Scan history not available

Unable to load historical scan data