Security Scan Report: graphql.busybusy.io

Submitted: May 6, 2026, 8:59:02 PMCompleted: May 6, 2026, 9:00:24 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is graphql.busybusy.io and was registered NaN years ago.

Submitted URL: https://graphql.busybusy.io

The Cisco Umbrella rank of the primary domain is #265,093 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Site appears legitimate with no malicious activity; safe to browse.

Safety Factors
Established domain age
Self‑branded site (no brand impersonation)
No malicious indicators or IDS alerts
No credential exfiltration or external links
Domain age information unavailable

Details

Page Title

graphql.busybusy.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(57%)

Domain Information

The domain name 'graphql.busybusy.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'graphql'. The core label 'busybusy' covers 8 characters split between 2 vowels and 6 consonants. It segments into two words: busy, busy. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://graphql.busybusy.io

Page Load Overview

0.92s
Total Load Time
1
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:165 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical57% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
57%
government public service
48%
news media journalism
47%
adult content
47%
technology software
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
152.24.222.68Boardman, Oregon, United States
AS16509Amazon.com, Inc.
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10D048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsPX2bMy8Oldi:ZhoC9JSqzzbs6okSjggcpsP2eAk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:185179:MBl1OpBORgAAEicVZBBShAxARiEjCiCS0wApRoQEMJBkBEIDDABASUEB1JSA6jIIDiASuURqAGES6nQwnY4ABBZaK8ggxAEN

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:00181c0600000000
Wavelet Hash:f0d0c4f0f0f0f0f0
Color Hash:#5d1f93

Other Hashes

Crop Resistant:00181c0600000000

Scan History

Scan history not available

Unable to load historical scan data