Security Scan Report: sdk.hubble.team

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Submitted: Jun 23, 2026, 6:28:50 AMCompleted: Jun 23, 2026, 6:30:12 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is sdk.hubble.team and was registered NaN years ago.

Submitted URL: https://sdk.hubble.team

The Cisco Umbrella rank of the primary domain is #305,450 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
Well‑established domain with low ranking but no malicious activity
Absence of credential or payment collection
No external malicious links or resources
No suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

404: This page could not be found

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

news media journalism

(55%)

Domain Information

The domain 'sdk.hubble.team' uses the .team top-level domain; it also runs on subdomain 'sdk'. The core label 'hubble' covers 6 characters holding two vowels versus 4 consonants. Tokenizing the label suggests 1 word: hubble. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sdk.hubble.team

Page Load Overview

0.59s
Total Load Time
11
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:61%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:61%
Script Type:Latin
Text Length:107 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
55%
government public service
53%
adult content
52%
technology software
51%
healthcare medical
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1176.76.21.142Walnut, California, United States
AS16509Amazon.com, Inc.
111--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14561C5F0CC45DF06223358C97026F30EB049D22EEBB84954FFC856FA95A65AF0F1A981

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:16Hq7Df3JuRWnqzIa365zyzRrzraKBFwKxVc1Pu:16Hq7DcRWqzIaKARPrt7wUVqu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3339:oQAQAAAQAAAAABAjAAFgBCDEAEABKYAAIBCoQDggAhAAAAlQQIqGQgAIGIAgCAJAUQBAgACCUEIRAAAAJBCAAAAgRgAWQChA

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:ffffffe7e7fffffa
Perceptual Hash:d5aa55aa55aa55a8
Difference Hash:0000000c0c000002
Wavelet Hash:30303820273f3f3e
Color Hash:#c587b0

Other Hashes

Crop Resistant:0000000c0c000002

Scan History

Scan history not available

Unable to load historical scan data