Security Scan Report: rox-state.cloudbees.io

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Submitted: Jan 16, 2026, 6:26:58 AMCompleted: Jan 16, 2026, 6:29:38 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is rox-state.cloudbees.io and was registered NaN years ago.

Submitted URL: https://rox-state.cloudbees.io

The Cisco Umbrella rank of the primary domain is #89,216 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>9 years old)
Top‑100k Cisco Umbrella ranking
No suspicious forms or inputs
No external links or redirects
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'rox-state.cloudbees.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'rox-state'. Its registrable label 'cloudbees' stretches across 9 characters with 4 vowels and five consonants. Word splitting yields 2 words: cloud, bees. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rox-state.cloudbees.io

Page Load Overview

0.56s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:21 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
113.32.99.82New York, New York, United States
AS16509AMAZON-02
113.32.99.22New York, New York, United States
AS16509AMAZON-02
22--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144C0C0B2C870011612322EDCCD82A18C4FC5B20E94310C00B1C1F098CED7946C403380

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6i5FFF38Hfr7vES8K4FLfRRyIdlEbXItKB4:qzxV/5VHHQYk/B96CM/MNdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:69a2eaa62f30f8819cef305c17ac3d23

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data