Security Scan Report: growing-olive-aqqqzocxjn-gtiux3pcgy.edgeone.app

Submitted: Mar 18, 2026, 1:06:06 PMCompleted: Mar 18, 2026, 1:07:22 PMpubliccompleted
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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 growing-olive-aqqqzocxjn-gtiux3pcgy.edgeone.app and was registered NaN years ago.

Submitted URL: https://growing-olive-aqqqzocxjn-gtiux3pcgy.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low risk site; no malicious activity detected but subdomain is new on a hosting platform.

Risk Factors
Subdomain on hosting platform with unknown creation date (potential phishing indicator)
Low Cisco Umbrella ranking (455,732) for a non‑brand domain
Safety Factors
No malicious Indicators of Compromise matches
No JavaScript malware patterns detected
No network IDS alerts
No credential or payment collection forms
Standard cross‑origin request to a reputable API
Domain age information unavailable

Details

Page Title

MoonCloud Node Panel

Scan Type

public

Language

🇺🇸

English

(61% confidence)

Category

technology software

(88%)

Domain Information

The domain 'growing-olive-aqqqzocxjn-gtiux3pcgy.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'growing-olive-aqqqzocxjn-gtiux3pcgy'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. It segments into two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://growing-olive-aqqqzocxjn-gtiux3pcgy.edgeone.app/

Page Load Overview

5.61s
Total Load Time
2
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:795 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software88% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
88%
cryptocurrency blockchain
69%
documentation technical
69%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15091867795482526F5BF94F07CA6D7CA7C488513AE5FE1C050BEA0BDD0D4C938A2A60E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:WjwMvekWEIm5Kz2ocJxWlmNSlXZjcMIGYRBAwdOo8mB4:xMvesIOKzJqxWl3IGDPk4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4571:YCqQoIJAgABQEklAACIBADAhKACAFFKiBBECChDAJQJgAIMoMYAGy0RkABQAAEAAAEECKACAIMAQAAGBAQQBICCSgABoAiBQ

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:c1ffffff190000c1
Perceptual Hash:ea857623fc037263
Difference Hash:0bb1793131011521
Wavelet Hash:c3ffffff010000c1
Color Hash:#4046bf

Other Hashes

Crop Resistant:0bb3793131011121

Scan History

Scan history not available

Unable to load historical scan data